move

2025-12-23 07:59:56 +00:00 · 2024-11-28 12:59:28 +00:00
70 changed files with 916 additions and 2455 deletions
--- a/.env.sample
+++ b/.env.sample
@@ -3,5 +3,4 @@ MODEL_PATH=models/tsukuyomi.sbv2
 MODELS_PATH=models
 TOKENIZER_PATH=models/tokenizer.json
 ADDR=localhost:3000
-RUST_LOG=warn
-HOLDER_MAX_LOADED_MODElS=20
+RUST_LOG=warn
--- a/.github/workflows/CI.Dockerfile
+++ b/.github/workflows/CI.Dockerfile
@@ -1,4 +0,0 @@
-FROM ubuntu:latest
-RUN apt update && apt install openssl libssl-dev curl pkg-config software-properties-common -y && add-apt-repository ppa:deadsnakes/ppa && apt update && apt install python3.7 python3.8 python3.9 python3.10 python3.11 python3.12 python3.13 python3-pip python3 -y
-ENV PIP_BREAK_SYSTEM_PACKAGES=1
-RUN mkdir -p /root/.cache/sbv2 && curl https://huggingface.co/neody/sbv2-api-assets/resolve/main/dic/all.bin -o /root/.cache/sbv2/all.bin -L
--- a/.github/workflows/CI.yml
+++ b/.github/workflows/CI.yml
@@ -1,35 +1,39 @@
+# This file is autogenerated by maturin v1.7.1
+# To update, run
+#
+#    maturin generate-ci github
+#
 name: CI

 on:
  push:
    branches:
      - main
+      - master
    tags:
      - '*'
  pull_request:
  workflow_dispatch:

 permissions:
-  contents: write
+  contents: read
  id-token: write
-  packages: write

 jobs:
-  python-linux:
+  linux:
    runs-on: ${{ matrix.platform.runner }}
    strategy:
      matrix:
        platform:
          - runner: ubuntu-latest
            target: x86_64
-          - runner: ubuntu-24.04-arm
+          - runner: ubuntu-latest
            target: aarch64
    steps:
      - uses: actions/checkout@v4
      - uses: actions/setup-python@v5
        with:
          python-version: 3.x
-      - run: docker build . -f .github/workflows/CI.Dockerfile --tag ci
      - name: Build wheels
        uses: PyO3/maturin-action@v1
        with:
@@ -37,15 +41,14 @@ jobs:
          args: --release --out dist --find-interpreter
          sccache: 'true'
          manylinux: auto
-          container: ci
-          working-directory: ./crates/sbv2_bindings
+          working-directory: sbv2_bindings
      - name: Upload wheels
        uses: actions/upload-artifact@v4
        with:
          name: wheels-linux-${{ matrix.platform.target }}
-          path: ./crates/sbv2_bindings/dist
+          path: sbv2_bindings/dist

-  python-windows:
+  windows:
    runs-on: ${{ matrix.platform.runner }}
    strategy:
      matrix:
@@ -64,18 +67,20 @@ jobs:
          target: ${{ matrix.platform.target }}
          args: --release --out dist --find-interpreter
          sccache: 'true'
-          working-directory: ./crates/sbv2_bindings
+          working-directory: sbv2_bindings
      - name: Upload wheels
        uses: actions/upload-artifact@v4
        with:
          name: wheels-windows-${{ matrix.platform.target }}
-          path: ./crates/sbv2_bindings/dist
+          path: sbv2_bindings/dist

-  python-macos:
+  macos:
    runs-on: ${{ matrix.platform.runner }}
    strategy:
      matrix:
        platform:
+          - runner: macos-12
+            target: x86_64
          - runner: macos-14
            target: aarch64
    steps:
@@ -89,14 +94,14 @@ jobs:
          target: ${{ matrix.platform.target }}
          args: --release --out dist --find-interpreter
          sccache: 'true'
-          working-directory: ./crates/sbv2_bindings
+          working-directory: sbv2_bindings
      - name: Upload wheels
        uses: actions/upload-artifact@v4
        with:
          name: wheels-macos-${{ matrix.platform.target }}
-          path: ./crates/sbv2_bindings/dist
+          path: sbv2_bindings/dist

-  python-sdist:
+  sdist:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
@@ -105,116 +110,54 @@ jobs:
        with:
          command: sdist
          args: --out dist
-          working-directory: ./crates/sbv2_bindings
+          working-directory: sbv2_bindings
      - name: Upload sdist
        uses: actions/upload-artifact@v4
        with:
          name: wheels-sdist
-          path: ./crates/sbv2_bindings/dist
-  python-wheel:
-    name: Wheel Upload
-    runs-on: ubuntu-latest
-    needs: [python-linux, python-windows, python-macos, python-sdist]
-    env:
-      GH_TOKEN: ${{ github.token }}
-    steps:
-      - uses: actions/checkout@v4
-      - run: gh run download ${{ github.run_id }} -p wheels-*
-      - name: release
-        run: |
-          gh release create commit-${GITHUB_SHA:0:8} --prerelease wheels-*/*
+          path: sbv2_bindings/dist

-  python-release:
+  release:
    name: Release
    runs-on: ubuntu-latest
    if: "startsWith(github.ref, 'refs/tags/')"
-    needs: [python-linux, python-windows, python-macos, python-sdist]
+    needs: [linux, windows, macos, sdist]
    environment: release
-    env:
-      GH_TOKEN: ${{ github.token }}
    steps:
-      - uses: actions/checkout@v4
-      - run: gh run download ${{ github.run_id }} -p wheels-*
+      - uses: actions/download-artifact@v4
      - name: Publish to PyPI
        uses: PyO3/maturin-action@v1
        with:
          command: upload
          args: --non-interactive --skip-existing wheels-*/*

-  docker:
-    runs-on: ${{ matrix.machine.runner }}
+  push-docker:
+    runs-on: ubuntu-latest
+    if: "startsWith(github.ref, 'refs/tags/')"
+    permissions:
+      contents: read
+      packages: write
    strategy:
-      fail-fast: false
      matrix:
-        machine:
-          - platform: amd64
-            runner: ubuntu-latest
-          - platform: arm64
-            runner: ubuntu-24.04-arm
        tag: [cpu, cuda]
    steps:
-      - name: Prepare
-        run: |
-          platform=${{ matrix.machine.platform }}
-          echo "PLATFORM_PAIR=${platform//\//-}" >> $GITHUB_ENV
-
-      - name: Docker meta
-        id: meta
-        uses: docker/metadata-action@v5
-        with:
-          images: |
-            ghcr.io/${{ github.repository }}
-
-      - name: Login to GHCR
-        uses: docker/login-action@v3
-        with:
-          registry: ghcr.io
-          username: ${{ github.repository_owner }}
-          password: ${{ secrets.GITHUB_TOKEN }}
-
+      - uses: actions/checkout@v4
      - name: Set up QEMU
        uses: docker/setup-qemu-action@v3
-
      - name: Set up Docker Buildx
        uses: docker/setup-buildx-action@v3
-
-      - name: Build and push by digest
-        id: build
-        uses: docker/build-push-action@v6
-        with:
-          labels: ${{ steps.meta.outputs.labels }}
-          file: ./scripts/docker/${{ matrix.tag }}.Dockerfile
-          push: true
-          tags: |
-            ghcr.io/${{ github.repository }}:latest-${{ matrix.tag }}-${{ matrix.machine.platform }}
-
-  docker-merge:
-    runs-on: ubuntu-latest
-    needs:
-      - docker
-    steps:
-      - name: Download digests
-        uses: actions/download-artifact@v4
-        with:
-          path: ${{ runner.temp }}/digests
-          pattern: digests-*
-          merge-multiple: true
-
-      - name: Login to GHCR
+      - name: Login to GitHub Container Registry
        uses: docker/login-action@v3
        with:
          registry: ghcr.io
-          username: ${{ github.repository_owner }}
+          username: ${{ github.actor }}
          password: ${{ secrets.GITHUB_TOKEN }}
-
-      - name: Set up Docker Buildx
-        uses: docker/setup-buildx-action@v3
-
-      - name: Merge
-        run: |
-          docker buildx imagetools create -t ghcr.io/${{ github.repository }}:cuda \
-              ghcr.io/${{ github.repository }}:latest-cuda-amd64 \
-              ghcr.io/${{ github.repository }}:latest-cuda-arm64
-          docker buildx imagetools create -t ghcr.io/${{ github.repository }}:cpu \
-              ghcr.io/${{ github.repository }}:latest-cpu-amd64 \
-              ghcr.io/${{ github.repository }}:latest-cpu-arm64
+      - name: Build and push image
+        uses: docker/build-push-action@v6
+        with:
+          context: .
+          push: true
+          tags: |
+            ghcr.io/${{ github.repository }}:${{ matrix.tag }}
+          file: docker/${{ matrix.tag }}.Dockerfile
+          platforms: linux/amd64, linux/arm64
--- a/.gitignore
+++ b/.gitignore
@@ -1,10 +1,8 @@
-target/
+target
 models/
 !models/.gitkeep
 venv/
 .env
-*.wav
-node_modules/
-dist/
-*.csv
-*.bin
+output.wav
+node_modules
+dist/
--- a/Cargo.lock
+++ b/Cargo.lock
--- a/Cargo.toml
+++ b/Cargo.toml
@@ -1,25 +1,15 @@
 [workspace]
 resolver = "2"
-members = ["./crates/sbv2_api", "./crates/sbv2_core", "./crates/sbv2_bindings", "./crates/sbv2_wasm"]
-
-[workspace.package]
-version = "0.2.0-alpha6"
-edition = "2021"
-description = "Style-Bert-VITSの推論ライブラリ"
-license = "MIT"
-readme = "./README.md"
-repository = "https://github.com/tuna2134/sbv2-api"
-documentation = "https://docs.rs/sbv2_core"
+members = ["sbv2_api", "sbv2_core", "sbv2_bindings", "sbv2_wasm"]

 [workspace.dependencies]
-anyhow = "1.0.96"
+anyhow = "1.0.86"
 dotenvy = "0.15.7"
-env_logger = "0.11.6"
+env_logger = "0.11.5"
 ndarray = "0.16.1"
-once_cell = "1.20.3"
+once_cell = "1.19.0"

 [profile.release]
-strip = true
-opt-level = "z"
 lto = true
-codegen-units = 1
+debug = false
+strip = true
--- a/README.md
+++ b/README.md
@@ -1,19 +1,7 @@
 # SBV2-API

-> [!CAUTION]
-> 本バージョンはアルファ版です。
-> 
-> 安定版を利用したい場合は[こちら](https://github.com/neodyland/sbv2-api/tree/v0.1.x)をご覧ください。
-
-> [!CAUTION]
-> オプションの辞書はLGPLです。
-> 
-> オプションの辞書を使用する場合、バイナリの内部の辞書部分について、LGPLが適用されます。
-
-> [!NOTE]
-> このレポジトリはメンテナンスの都合上、[tuna2134](https:://github.com/tuna2134)氏の所属する[Neodyland](https://neody.land/)へとリポジトリ所在地を移動しました。
-> 
-> 引き続きtuna2134氏がメインメンテナとして管理しています。
+## 注意：本バージョンはアルファ版です。
+安定版を利用したい場合は[こちら](https://github.com/tuna2134/sbv2-api/tree/v0.1.x)をご覧ください。

 ## プログラミングに詳しくない方向け

@@ -29,7 +17,7 @@ JP-Extra しか対応していません。(基本的に対応する予定もあ

 ## 変換方法

-[こちら](https://github.com/neodyland/sbv2-api/tree/main/scripts/convert)を参照してください。
+[こちら](https://github.com/tuna2134/sbv2-api/tree/main/convert)を参照してください。

 ## Todo

@@ -41,27 +29,23 @@ JP-Extra しか対応していません。(基本的に対応する予定もあ
 - [x] GPU 対応(CUDA)
 - [x] GPU 対応(DirectML)
 - [x] GPU 対応(CoreML)
- [x] WASM 変換
+- [ ] WASM 変換(依存ライブラリの関係により現在は不可)
 - [x] arm64のdockerサポート
- [x] aivis形式のサポート
 - [ ] MeCabを利用する

 ## 構造説明

- `crates/sbv2_api` - 推論用 REST API
- `crates/sbv2_core` - 推論コア部分
- `scripts/docker` - docker ビルドスクリプト
- `scripts/convert` - onnx, sbv2フォーマットへの変換スクリプト
+- `sbv2_api` - 推論用 REST API
+- `sbv2_core` - 推論コア部分
+- `docker` - docker ビルドスクリプト
+- `convert` - onnx, sbv2フォーマットへの変換スクリプト

 ## プログラミングある程度できる人向けREST API起動方法

 ### models をインストール

-https://huggingface.co/neody/sbv2-api-assets/tree/main/deberta
-から`tokenizer.json`,`debert.onnx`
-https://huggingface.co/neody/sbv2-api-assets/tree/main/model
-から`tsukuyomi.sbv2`
-を models フォルダに配置
+https://huggingface.co/googlefan/sbv2_onnx_models/tree/main
+の`tokenizer.json`,`debert.onnx`,`tsukuyomi.sbv2`を models フォルダに配置

 ### .env ファイルの作成

@@ -130,10 +114,8 @@ curl http://localhost:3000/models
 - `ADDR` `localhost:3000`などのようにサーバー起動アドレスをコントロールできます。
 - `MODELS_PATH` sbv2モデルの存在するフォルダを指定できます。
 - `RUST_LOG` おなじみlog levelです。
- `HOLDER_MAX_LOADED_MODElS` RAMにロードされるモデルの最大数を指定します。

 ## 謝辞

- [litagin02/Style-Bert-VITS2](https://github.com/litagin02/Style-Bert-VITS2) - このコードを書くにあたり、ベースとなる部分を参考にさせていただきました。
+- [litagin02/Style-Bert-VITS2](https://github.com/litagin02/Style-Bert-VITS2) - このコードの書くにあたり、ベースとなる部分を参考にさせていただきました。
 - [Googlefan](https://github.com/Googlefan256) - 彼にモデルを ONNX ヘ変換および効率化をする方法を教わりました。
- [Aivis Project](https://github.com/Aivis-Project/AivisSpeech-Engine) - 辞書部分
--- a/content.txt
+++ b/content.txt
@@ -0,0 +1,14 @@
+悪徳貴族として名高いヴェレット家の長男――オウガ・ヴェレットは転生者である。
+ブラック企業に勤め、過労死した彼には一つの夢があった。
+
+「可愛いハーレム作って、美味い物を食べる。領民の税金で楽して好き放題な生活を送ってみせる！」
+
+素晴らしき異世界ライフを夢見た彼は実現へ向けて、努力を始めた。
+ハーレムを築くためにいじめられてる平民の子を助けて恩を売ってやったり。
+労働力を手に入れるために多くの孤児を雇って教育したり。
+反乱を起きても鎮圧できるように魔法学院へ通って魔法を極める。
+
+「クックック……！　順調、順調！　未来は明るいなぁ！」
+
+――オウガはまだ知らない。
+楽な生活を送るためにしてきたことが評価され、世間から『聖者』様として呼ばれる未来を。
--- a/scripts/convert/README.md
+++ b/scripts/convert/README.md
--- a/scripts/convert/convert_deberta.py
+++ b/scripts/convert/convert_deberta.py
@@ -5,7 +5,6 @@ from transformers import AutoModelForMaskedLM, AutoTokenizer
 import torch
 from torch import nn
 from argparse import ArgumentParser
-import os

 parser = ArgumentParser()
 parser.add_argument("--model", default="ku-nlp/deberta-v2-large-japanese-char-wwm")
@@ -16,7 +15,7 @@ bert_models.load_tokenizer(Languages.JP, model_name)
 tokenizer = bert_models.load_tokenizer(Languages.JP)
 converter = BertConverter(tokenizer)
 tokenizer = converter.converted()
-tokenizer.save("../../models/tokenizer.json")
+tokenizer.save("../models/tokenizer.json")


 class ORTDeberta(nn.Module):
@@ -43,10 +42,9 @@ inputs = AutoTokenizer.from_pretrained(model_name)(
 torch.onnx.export(
    model,
    (inputs["input_ids"], inputs["token_type_ids"], inputs["attention_mask"]),
-    "../../models/deberta.onnx",
+    "../models/deberta.onnx",
    input_names=["input_ids", "token_type_ids", "attention_mask"],
    output_names=["output"],
    verbose=True,
    dynamic_axes={"input_ids": {1: "batch_size"}, "attention_mask": {1: "batch_size"}},
 )
-os.system("onnxsim ../../models/deberta.onnx ../../models/deberta.onnx")
--- a/scripts/convert/convert_model.py
+++ b/scripts/convert/convert_model.py
@@ -36,7 +36,7 @@ data = array.tolist()
 hyper_parameters = HyperParameters.load_from_json(config_file)
 out_name = hyper_parameters.model_name

-with open(f"../../models/style_vectors_{out_name}.json", "w") as f:
+with open(f"../models/style_vectors_{out_name}.json", "w") as f:
    json.dump(
        {
            "data": data,
@@ -127,7 +127,7 @@ torch.onnx.export(
        torch.tensor(0.6777),
        torch.tensor(0.8),
    ),
-    f"../../models/model_{out_name}.onnx",
+    f"../models/model_{out_name}.onnx",
    verbose=True,
    dynamic_axes={
        "x_tst": {0: "batch_size", 1: "x_tst_max_length"},
@@ -153,11 +153,11 @@ torch.onnx.export(
    ],
    output_names=["output"],
 )
-os.system(f"onnxsim ../../models/model_{out_name}.onnx ../../models/model_{out_name}.onnx")
-onnxfile = open(f"../../models/model_{out_name}.onnx", "rb").read()
-stylefile = open(f"../../models/style_vectors_{out_name}.json", "rb").read()
+os.system(f"onnxsim ../models/model_{out_name}.onnx ../models/model_{out_name}.onnx")
+onnxfile = open(f"../models/model_{out_name}.onnx", "rb").read()
+stylefile = open(f"../models/style_vectors_{out_name}.json", "rb").read()
 version = bytes("1", "utf8")
-with taropen(f"../../models/tmp_{out_name}.sbv2tar", "w") as w:
+with taropen(f"../models/tmp_{out_name}.sbv2tar", "w") as w:

    def add_tar(f, b):
        t = TarInfo(f)
@@ -167,9 +167,9 @@ with taropen(f"../../models/tmp_{out_name}.sbv2tar", "w") as w:
    add_tar("version.txt", version)
    add_tar("model.onnx", onnxfile)
    add_tar("style_vectors.json", stylefile)
-open(f"../../models/{out_name}.sbv2", "wb").write(
+open(f"../models/{out_name}.sbv2", "wb").write(
    ZstdCompressor(threads=-1, level=22).compress(
-        open(f"../../models/tmp_{out_name}.sbv2tar", "rb").read()
+        open(f"../models/tmp_{out_name}.sbv2tar", "rb").read()
    )
 )
-os.unlink(f"../../models/tmp_{out_name}.sbv2tar")
+os.unlink(f"../models/tmp_{out_name}.sbv2tar")
--- a/scripts/convert/requirements.txt
+++ b/scripts/convert/requirements.txt
--- a/crates/sbv2_bindings/Cargo.toml
+++ b/crates/sbv2_bindings/Cargo.toml
@@ -1,24 +0,0 @@
-[package]
-name = "sbv2_bindings"
-version.workspace = true
-edition.workspace = true
-description.workspace = true
-readme.workspace = true
-repository.workspace = true
-documentation.workspace = true
-license.workspace = true
-
-# See more keys and their definitions at https://doc.rust-lang.org/cargo/reference/manifest.html
-[lib]
-name = "sbv2_bindings"
-crate-type = ["cdylib"]
-
-[dependencies]
-anyhow.workspace = true
-ndarray.workspace = true
-pyo3 = { version = "0.24.0", features = ["anyhow"] }
-sbv2_core = { path = "../sbv2_core", features = ["std"], default-features = false }
-
-[features]
-agpl_dict = ["sbv2_core/agpl_dict"]
-default = ["agpl_dict"]
--- a/crates/sbv2_core/build.rs
+++ b/crates/sbv2_core/build.rs
@@ -1,25 +0,0 @@
-use dirs::home_dir;
-use std::env;
-use std::fs;
-use std::io::copy;
-use std::path::PathBuf;
-
-fn main() -> Result<(), Box<dyn std::error::Error>> {
-    let static_path = home_dir().unwrap().join(".cache/sbv2/all.bin");
-    let out_path = PathBuf::from(&env::var("OUT_DIR").unwrap()).join("all.bin");
-    println!("cargo:rerun-if-changed=build.rs");
-    if static_path.exists() {
-        if fs::hard_link(&static_path, &out_path).is_err() {
-            fs::copy(static_path, out_path).unwrap();
-        };
-    } else {
-        println!("cargo:warning=Downloading dictionary file...");
-        let mut response =
-            ureq::get("https://huggingface.co/neody/sbv2-api-assets/resolve/main/dic/all.bin")
-                .call()?;
-        let mut response = response.body_mut().as_reader();
-        let mut file = fs::File::create(&out_path)?;
-        copy(&mut response, &mut file)?;
-    }
-    Ok(())
-}
--- a/crates/sbv2_core/src/model.rs
+++ b/crates/sbv2_core/src/model.rs
@@ -1,111 +0,0 @@
-use crate::error::Result;
-use ndarray::{array, Array1, Array2, Array3, Axis, Ix3};
-use ort::session::{builder::GraphOptimizationLevel, Session};
-
-#[allow(clippy::vec_init_then_push, unused_variables)]
-pub fn load_model<P: AsRef<[u8]>>(model_file: P, bert: bool) -> Result<Session> {
-    let mut exp = Vec::new();
-    #[cfg(feature = "tensorrt")]
-    {
-        if bert {
-            exp.push(
-                ort::execution_providers::TensorRTExecutionProvider::default()
-                    .with_fp16(true)
-                    .with_profile_min_shapes("input_ids:1x1,attention_mask:1x1")
-                    .with_profile_max_shapes("input_ids:1x100,attention_mask:1x100")
-                    .with_profile_opt_shapes("input_ids:1x25,attention_mask:1x25")
-                    .build(),
-            );
-        }
-    }
-    #[cfg(feature = "cuda")]
-    {
-        #[allow(unused_mut)]
-        let mut cuda = ort::execution_providers::CUDAExecutionProvider::default()
-            .with_conv_algorithm_search(
-                ort::execution_providers::cuda::CUDAExecutionProviderCuDNNConvAlgoSearch::Default,
-            );
-        #[cfg(feature = "cuda_tf32")]
-        {
-            cuda = cuda.with_tf32(true);
-        }
-        exp.push(cuda.build());
-    }
-    #[cfg(feature = "directml")]
-    {
-        exp.push(ort::execution_providers::DirectMLExecutionProvider::default().build());
-    }
-    #[cfg(feature = "coreml")]
-    {
-        exp.push(ort::execution_providers::CoreMLExecutionProvider::default().build());
-    }
-    exp.push(ort::execution_providers::CPUExecutionProvider::default().build());
-    Ok(Session::builder()?
-        .with_execution_providers(exp)?
-        .with_optimization_level(GraphOptimizationLevel::Level3)?
-        .with_intra_threads(num_cpus::get_physical())?
-        .with_parallel_execution(true)?
-        .with_inter_threads(num_cpus::get_physical())?
-        .commit_from_memory(model_file.as_ref())?)
-}
-
-#[allow(clippy::too_many_arguments)]
-pub fn synthesize(
-    session: &mut Session,
-    bert_ori: Array2<f32>,
-    x_tst: Array1<i64>,
-    mut spk_ids: Array1<i64>,
-    tones: Array1<i64>,
-    lang_ids: Array1<i64>,
-    style_vector: Array1<f32>,
-    sdp_ratio: f32,
-    length_scale: f32,
-    noise_scale: f32,
-    noise_scale_w: f32,
-) -> Result<Array3<f32>> {
-    let bert_ori = bert_ori.insert_axis(Axis(0));
-    let bert_ori = bert_ori.as_standard_layout();
-    let bert = ort::value::TensorRef::from_array_view(&bert_ori)?;
-    let mut x_tst_lengths = array![x_tst.shape()[0] as i64];
-    let x_tst_lengths = ort::value::TensorRef::from_array_view(&mut x_tst_lengths)?;
-    let mut x_tst = x_tst.insert_axis(Axis(0));
-    let x_tst = ort::value::TensorRef::from_array_view(&mut x_tst)?;
-    let mut lang_ids = lang_ids.insert_axis(Axis(0));
-    let lang_ids = ort::value::TensorRef::from_array_view(&mut lang_ids)?;
-    let mut tones = tones.insert_axis(Axis(0));
-    let tones = ort::value::TensorRef::from_array_view(&mut tones)?;
-    let mut style_vector = style_vector.insert_axis(Axis(0));
-    let style_vector = ort::value::TensorRef::from_array_view(&mut style_vector)?;
-    let sid = ort::value::TensorRef::from_array_view(&mut spk_ids)?;
-    let sdp_ratio = vec![sdp_ratio];
-    let sdp_ratio = ort::value::TensorRef::from_array_view((vec![1_i64], sdp_ratio.as_slice()))?;
-    let length_scale = vec![length_scale];
-    let length_scale =
-        ort::value::TensorRef::from_array_view((vec![1_i64], length_scale.as_slice()))?;
-    let noise_scale = vec![noise_scale];
-    let noise_scale =
-        ort::value::TensorRef::from_array_view((vec![1_i64], noise_scale.as_slice()))?;
-    let noise_scale_w = vec![noise_scale_w];
-    let noise_scale_w =
-        ort::value::TensorRef::from_array_view((vec![1_i64], noise_scale_w.as_slice()))?;
-    let outputs = session.run(ort::inputs! {
-        "x_tst" =>  x_tst,
-        "x_tst_lengths" => x_tst_lengths,
-        "sid" => sid,
-        "tones" => tones,
-        "language" => lang_ids,
-        "bert" => bert,
-        "style_vec" => style_vector,
-        "sdp_ratio" => sdp_ratio,
-        "length_scale" => length_scale,
-        "noise_scale" => noise_scale,
-        "noise_scale_w" => noise_scale_w,
-    })?;
-
-    let audio_array = outputs["output"]
-        .try_extract_tensor::<f32>()?
-        .into_dimensionality::<Ix3>()?
-        .to_owned();
-
-    Ok(audio_array)
-}
--- a/crates/sbv2_editor/Cargo.toml
+++ b/crates/sbv2_editor/Cargo.toml
@@ -1,19 +0,0 @@
-[package]
-name = "sbv2_editor"
-version.workspace = true
-edition.workspace = true
-description.workspace = true
-license.workspace = true
-readme.workspace = true
-repository.workspace = true
-documentation.workspace = true
-
-[dependencies]
-anyhow.workspace = true
-axum = "0.8.1"
-dotenvy.workspace = true
-env_logger.workspace = true
-log = "0.4.27"
-sbv2_core = { version = "0.2.0-alpha6", path = "../sbv2_core", features = ["aivmx"] }
-serde = { version = "1.0.219", features = ["derive"] }
-tokio = { version = "1.44.1", features = ["full"] }
--- a/crates/sbv2_editor/README.md
+++ b/crates/sbv2_editor/README.md
@@ -1,2 +0,0 @@
-# sbv2-voicevox
-sbv2-apiをvoicevox化します。
--- a/crates/sbv2_editor/query2.json
+++ b/crates/sbv2_editor/query2.json
@@ -1,226 +0,0 @@
-{
-    "accent_phrases": [
-        {
-            "moras": [
-                {
-                    "text": "コ",
-                    "consonant": "k",
-                    "consonant_length": 0.10002632439136505,
-                    "vowel": "o",
-                    "vowel_length": 0.15740256011486053,
-                    "pitch": 5.749961853027344
-                },
-                {
-                    "text": "ン",
-                    "consonant": null,
-                    "consonant_length": null,
-                    "vowel": "N",
-                    "vowel_length": 0.08265873789787292,
-                    "pitch": 5.89122200012207
-                },
-                {
-                    "text": "ニ",
-                    "consonant": "n",
-                    "consonant_length": 0.03657080978155136,
-                    "vowel": "i",
-                    "vowel_length": 0.1175866425037384,
-                    "pitch": 5.969866752624512
-                },
-                {
-                    "text": "チ",
-                    "consonant": "ch",
-                    "consonant_length": 0.09005842357873917,
-                    "vowel": "i",
-                    "vowel_length": 0.08666137605905533,
-                    "pitch": 5.958892822265625
-                },
-                {
-                    "text": "ワ",
-                    "consonant": "w",
-                    "consonant_length": 0.07833231985569,
-                    "vowel": "a",
-                    "vowel_length": 0.21250136196613312,
-                    "pitch": 5.949411392211914
-                }
-            ],
-            "accent": 5,
-            "pause_mora": {
-                "text": "、",
-                "consonant": null,
-                "consonant_length": null,
-                "vowel": "pau",
-                "vowel_length": 0.4723339378833771,
-                "pitch": 0.0
-            },
-            "is_interrogative": false
-        },
-        {
-            "moras": [
-                {
-                    "text": "オ",
-                    "consonant": null,
-                    "consonant_length": null,
-                    "vowel": "o",
-                    "vowel_length": 0.22004225850105286,
-                    "pitch": 5.6870927810668945
-                },
-                {
-                    "text": "ン",
-                    "consonant": null,
-                    "consonant_length": null,
-                    "vowel": "N",
-                    "vowel_length": 0.09161105751991272,
-                    "pitch": 5.93472957611084
-                },
-                {
-                    "text": "セ",
-                    "consonant": "s",
-                    "consonant_length": 0.08924821764230728,
-                    "vowel": "e",
-                    "vowel_length": 0.14142127335071564,
-                    "pitch": 6.121850490570068
-                },
-                {
-                    "text": "エ",
-                    "consonant": null,
-                    "consonant_length": null,
-                    "vowel": "e",
-                    "vowel_length": 0.10636933892965317,
-                    "pitch": 6.157896041870117
-                },
-                {
-                    "text": "ゴ",
-                    "consonant": "g",
-                    "consonant_length": 0.07600915431976318,
-                    "vowel": "o",
-                    "vowel_length": 0.09598273783922195,
-                    "pitch": 6.188933849334717
-                },
-                {
-                    "text": "オ",
-                    "consonant": null,
-                    "consonant_length": null,
-                    "vowel": "o",
-                    "vowel_length": 0.1079121008515358,
-                    "pitch": 6.235202789306641
-                },
-                {
-                    "text": "セ",
-                    "consonant": "s",
-                    "consonant_length": 0.09591838717460632,
-                    "vowel": "e",
-                    "vowel_length": 0.10286372154951096,
-                    "pitch": 6.153214454650879
-                },
-                {
-                    "text": "エ",
-                    "consonant": null,
-                    "consonant_length": null,
-                    "vowel": "e",
-                    "vowel_length": 0.08992656320333481,
-                    "pitch": 6.02571439743042
-                },
-                {
-                    "text": "ノ",
-                    "consonant": "n",
-                    "consonant_length": 0.05660202354192734,
-                    "vowel": "o",
-                    "vowel_length": 0.09676017612218857,
-                    "pitch": 5.711844444274902
-                }
-            ],
-            "accent": 5,
-            "pause_mora": null,
-            "is_interrogative": false
-        },
-        {
-            "moras": [
-                {
-                    "text": "セ",
-                    "consonant": "s",
-                    "consonant_length": 0.07805486768484116,
-                    "vowel": "e",
-                    "vowel_length": 0.09617523103952408,
-                    "pitch": 5.774399280548096
-                },
-                {
-                    "text": "カ",
-                    "consonant": "k",
-                    "consonant_length": 0.06712044775485992,
-                    "vowel": "a",
-                    "vowel_length": 0.148829385638237,
-                    "pitch": 6.063965797424316
-                },
-                {
-                    "text": "イ",
-                    "consonant": null,
-                    "consonant_length": null,
-                    "vowel": "i",
-                    "vowel_length": 0.11061104387044907,
-                    "pitch": 6.040698051452637
-                },
-                {
-                    "text": "エ",
-                    "consonant": null,
-                    "consonant_length": null,
-                    "vowel": "e",
-                    "vowel_length": 0.13046696782112122,
-                    "pitch": 5.806027889251709
-                }
-            ],
-            "accent": 1,
-            "pause_mora": null,
-            "is_interrogative": false
-        },
-        {
-            "moras": [
-                {
-                    "text": "ヨ",
-                    "consonant": "y",
-                    "consonant_length": 0.07194744795560837,
-                    "vowel": "o",
-                    "vowel_length": 0.08622600883245468,
-                    "pitch": 5.694094657897949
-                },
-                {
-                    "text": "オ",
-                    "consonant": null,
-                    "consonant_length": null,
-                    "vowel": "o",
-                    "vowel_length": 0.10635452717542648,
-                    "pitch": 5.787222385406494
-                },
-                {
-                    "text": "コ",
-                    "consonant": "k",
-                    "consonant_length": 0.07077334076166153,
-                    "vowel": "o",
-                    "vowel_length": 0.09248624742031097,
-                    "pitch": 5.793357849121094
-                },
-                {
-                    "text": "ソ",
-                    "consonant": "s",
-                    "consonant_length": 0.08705667406320572,
-                    "vowel": "o",
-                    "vowel_length": 0.2238258570432663,
-                    "pitch": 5.643765449523926
-                }
-            ],
-            "accent": 1,
-            "pause_mora": null,
-            "is_interrogative": false
-        }
-    ],
-    "speedScale": 1.0,
-    "pitchScale": 0.0,
-    "intonationScale": 1.0,
-    "volumeScale": 1.0,
-    "prePhonemeLength": 0.1,
-    "postPhonemeLength": 0.1,
-    "pauseLength": null,
-    "pauseLengthScale": 1.0,
-    "outputSamplingRate": 24000,
-    "outputStereo": false,
-    "kana": "コンニチワ'、オンセエゴ'オセエノ/セ'カイエ/ヨ'オコソ"
-}
--- a/crates/sbv2_editor/src/error.rs
+++ b/crates/sbv2_editor/src/error.rs
@@ -1,27 +0,0 @@
-use axum::{
-    http::StatusCode,
-    response::{IntoResponse, Response},
-};
-
-pub type AppResult<T> = std::result::Result<T, AppError>;
-
-pub struct AppError(anyhow::Error);
-
-impl IntoResponse for AppError {
-    fn into_response(self) -> Response {
-        (
-            StatusCode::INTERNAL_SERVER_ERROR,
-            format!("Something went wrong: {}", self.0),
-        )
-            .into_response()
-    }
-}
-
-impl<E> From<E> for AppError
-where
-    E: Into<anyhow::Error>,
-{
-    fn from(err: E) -> Self {
-        Self(err.into())
-    }
-}
--- a/crates/sbv2_editor/src/main.rs
+++ b/crates/sbv2_editor/src/main.rs
@@ -1,197 +0,0 @@
-use axum::extract::State;
-use axum::{
-    extract::Query,
-    http::header::CONTENT_TYPE,
-    response::IntoResponse,
-    routing::{get, post},
-    Json, Router,
-};
-use sbv2_core::tts_util::kata_tone2phone_tone;
-use sbv2_core::{
-    tts::{SynthesizeOptions, TTSModelHolder},
-    tts_util::preprocess_parse_text,
-};
-use serde::{Deserialize, Serialize};
-use tokio::{fs, net::TcpListener, sync::Mutex};
-
-use std::env;
-use std::sync::Arc;
-
-use error::AppResult;
-
-mod error;
-
-#[derive(Deserialize)]
-struct RequestCreateAudioQuery {
-    text: String,
-}
-
-#[derive(Serialize, Deserialize)]
-struct AudioQuery {
-    kana: String,
-    tone: i32,
-}
-
-#[derive(Serialize)]
-struct ResponseCreateAudioQuery {
-    audio_query: Vec<AudioQuery>,
-    text: String,
-}
-
-async fn create_audio_query(
-    State(state): State<AppState>,
-    Query(request): Query<RequestCreateAudioQuery>,
-) -> AppResult<impl IntoResponse> {
-    let (text, process) = {
-        let tts_model = state.tts_model.lock().await;
-        preprocess_parse_text(&request.text, &tts_model.jtalk)?
-    };
-    let kana_tone_list = process.g2kana_tone()?;
-    let audio_query = kana_tone_list
-        .iter()
-        .map(|(kana, tone)| AudioQuery {
-            kana: kana.clone(),
-            tone: *tone,
-        })
-        .collect::<Vec<_>>();
-    Ok(Json(ResponseCreateAudioQuery { audio_query, text }))
-}
-
-#[derive(Deserialize)]
-pub struct RequestSynthesis {
-    text: String,
-    speaker_id: i64,
-    sdp_ratio: f32,
-    length_scale: f32,
-    style_id: i32,
-    audio_query: Vec<AudioQuery>,
-    ident: String,
-}
-
-async fn synthesis(
-    State(state): State<AppState>,
-    Json(request): Json<RequestSynthesis>,
-) -> AppResult<impl IntoResponse> {
-    let phone_tone = request
-        .audio_query
-        .iter()
-        .map(|query| (query.kana.clone(), query.tone))
-        .collect::<Vec<_>>();
-    let phone_tone = kata_tone2phone_tone(phone_tone);
-    let tones = phone_tone.iter().map(|(_, tone)| *tone).collect::<Vec<_>>();
-    let buffer = {
-        let mut tts_model = state.tts_model.lock().await;
-        tts_model.easy_synthesize_neo(
-            &request.ident,
-            &request.text,
-            Some(tones),
-            request.style_id,
-            request.speaker_id,
-            SynthesizeOptions {
-                sdp_ratio: request.sdp_ratio,
-                length_scale: request.length_scale,
-                ..Default::default()
-            },
-        )?
-    };
-    Ok(([(CONTENT_TYPE, "audio/wav")], buffer))
-}
-
-#[derive(Clone)]
-struct AppState {
-    tts_model: Arc<Mutex<TTSModelHolder>>,
-}
-
-impl AppState {
-    pub async fn new() -> anyhow::Result<Self> {
-        let mut tts_model = TTSModelHolder::new(
-            &fs::read(env::var("BERT_MODEL_PATH")?).await?,
-            &fs::read(env::var("TOKENIZER_PATH")?).await?,
-            env::var("HOLDER_MAX_LOADED_MODElS")
-                .ok()
-                .and_then(|x| x.parse().ok()),
-        )?;
-        let models = env::var("MODELS_PATH").unwrap_or("models".to_string());
-        let mut f = fs::read_dir(&models).await?;
-        let mut entries = vec![];
-        while let Ok(Some(e)) = f.next_entry().await {
-            let name = e.file_name().to_string_lossy().to_string();
-            if name.ends_with(".onnx") && name.starts_with("model_") {
-                let name_len = name.len();
-                let name = name.chars();
-                entries.push(
-                    name.collect::<Vec<_>>()[6..name_len - 5]
-                        .iter()
-                        .collect::<String>(),
-                );
-            } else if name.ends_with(".sbv2") {
-                let entry = &name[..name.len() - 5];
-                log::info!("Try loading: {entry}");
-                let sbv2_bytes = match fs::read(format!("{models}/{entry}.sbv2")).await {
-                    Ok(b) => b,
-                    Err(e) => {
-                        log::warn!("Error loading sbv2_bytes from file {entry}: {e}");
-                        continue;
-                    }
-                };
-                if let Err(e) = tts_model.load_sbv2file(entry, sbv2_bytes) {
-                    log::warn!("Error loading {entry}: {e}");
-                };
-                log::info!("Loaded: {entry}");
-            } else if name.ends_with(".aivmx") {
-                let entry = &name[..name.len() - 6];
-                log::info!("Try loading: {entry}");
-                let aivmx_bytes = match fs::read(format!("{models}/{entry}.aivmx")).await {
-                    Ok(b) => b,
-                    Err(e) => {
-                        log::warn!("Error loading aivmx bytes from file {entry}: {e}");
-                        continue;
-                    }
-                };
-                if let Err(e) = tts_model.load_aivmx(entry, aivmx_bytes) {
-                    log::error!("Error loading {entry}: {e}");
-                }
-                log::info!("Loaded: {entry}");
-            }
-        }
-        for entry in entries {
-            log::info!("Try loading: {entry}");
-            let style_vectors_bytes =
-                match fs::read(format!("{models}/style_vectors_{entry}.json")).await {
-                    Ok(b) => b,
-                    Err(e) => {
-                        log::warn!("Error loading style_vectors_bytes from file {entry}: {e}");
-                        continue;
-                    }
-                };
-            let vits2_bytes = match fs::read(format!("{models}/model_{entry}.onnx")).await {
-                Ok(b) => b,
-                Err(e) => {
-                    log::warn!("Error loading vits2_bytes from file {entry}: {e}");
-                    continue;
-                }
-            };
-            if let Err(e) = tts_model.load(&entry, style_vectors_bytes, vits2_bytes) {
-                log::warn!("Error loading {entry}: {e}");
-            };
-            log::info!("Loaded: {entry}");
-        }
-        Ok(Self {
-            tts_model: Arc::new(Mutex::new(tts_model)),
-        })
-    }
-}
-
-#[tokio::main]
-async fn main() -> anyhow::Result<()> {
-    dotenvy::dotenv_override().ok();
-    env_logger::init();
-    let app = Router::new()
-        .route("/", get(|| async { "Hello, world!" }))
-        .route("/audio_query", get(create_audio_query))
-        .route("/synthesis", post(synthesis))
-        .with_state(AppState::new().await?);
-    let listener = TcpListener::bind("0.0.0.0:8080").await?;
-    axum::serve(listener, app).await?;
-    Ok(())
-}
--- a/crates/sbv2_wasm/build.sh
+++ b/crates/sbv2_wasm/build.sh
@@ -1,8 +0,0 @@
-#!/bin/sh
-wasm-pack build --target web ./crates/sbv2_wasm --release
-wasm-opt -O3 -o ./crates/sbv2_wasm/pkg/sbv2_wasm_bg.wasm ./crates/sbv2_wasm/pkg/sbv2_wasm_bg.wasm
-wasm-strip ./crates/sbv2_wasm/pkg/sbv2_wasm_bg.wasm
-mkdir -p ./crates/sbv2_wasm/dist
-cp ./crates/sbv2_wasm/pkg/sbv2_wasm_bg.wasm ./crates/sbv2_wasm/dist/sbv2_wasm_bg.wasm
-cd ./crates/sbv2_wasm
-pnpm build
--- a/scripts/docker/cpu.Dockerfile
+++ b/scripts/docker/cpu.Dockerfile
--- a/scripts/docker/cuda.Dockerfile
+++ b/scripts/docker/cuda.Dockerfile
--- a/scripts/docker/run_cpu.sh
+++ b/scripts/docker/run_cpu.sh
--- a/scripts/docker/run_cuda.sh
+++ b/scripts/docker/run_cuda.sh
--- a/crates/sbv2_api/Cargo.toml
+++ b/crates/sbv2_api/Cargo.toml
@@ -1,24 +1,19 @@
 [package]
 name = "sbv2_api"
-version.workspace = true
-edition.workspace = true
-description.workspace = true
-readme.workspace = true
-repository.workspace = true
-documentation.workspace = true
-license.workspace = true
+version = "0.2.0-alpha4"
+edition = "2021"

 [dependencies]
 anyhow.workspace = true
-axum = "0.8.0"
+axum = "0.7.5"
 dotenvy.workspace = true
 env_logger.workspace = true
 log = "0.4.22"
-sbv2_core = { version = "0.2.0-alpha6", path = "../sbv2_core", features = ["aivmx"] }
+sbv2_core = { version = "0.2.0-alpha2", path = "../sbv2_core", features = ["aivmx"] }
 serde = { version = "1.0.210", features = ["derive"] }
 tokio = { version = "1.40.0", features = ["full"] }
 utoipa = { version = "5.0.0", features = ["axum_extras"] }
-utoipa-scalar = { version = "0.3.0", features = ["axum"] }
+utoipa-scalar = { version = "0.2.0", features = ["axum"] }

 [features]
 coreml = ["sbv2_core/coreml"]
--- a/crates/sbv2_api/build.rs
+++ b/crates/sbv2_api/build.rs
--- a/crates/sbv2_api/src/error.rs
+++ b/crates/sbv2_api/src/error.rs
--- a/crates/sbv2_api/src/main.rs
+++ b/crates/sbv2_api/src/main.rs
--- a/sbv2_bindings/Cargo.toml
+++ b/sbv2_bindings/Cargo.toml
@@ -0,0 +1,15 @@
+[package]
+name = "sbv2_bindings"
+version = "0.2.0-alpha4"
+edition = "2021"
+
+# See more keys and their definitions at https://doc.rust-lang.org/cargo/reference/manifest.html
+[lib]
+name = "sbv2_bindings"
+crate-type = ["cdylib"]
+
+[dependencies]
+anyhow.workspace = true
+ndarray.workspace = true
+pyo3 = { version = "0.22.0", features = ["anyhow"] }
+sbv2_core = { version = "0.2.0-alpha2", path = "../sbv2_core" }
--- a/sbv2_bindings/examples/basic.ipynb
+++ b/sbv2_bindings/examples/basic.ipynb
@@ -16,7 +16,7 @@
   "outputs": [],
   "source": [
    "# 必要なパッケージのインストール\n",
-    "%pip install sbv2_bindings\n",
+    "!pip install sbv2_bindings\n",
    "\n",
    "# 必要なモジュールのインポート\n",
    "import os\n",
--- a/sbv2_bindings/examples/basic.py
+++ b/sbv2_bindings/examples/basic.py
@@ -3,16 +3,16 @@ from sbv2_bindings import TTSModel

 def main():
    print("Loading models...")
-    model = TTSModel.from_path("./models/debert.onnx", "./models/tokenizer.json")
+    model = TTSModel.from_path("../models/debert.onnx", "../models/tokenizer.json")
    print("Models loaded!")

-    model.load_sbv2file_from_path("amitaro", "./models/amitaro.sbv2")
+    model.load_sbv2file_from_path("amitaro", "../models/amitaro.sbv2")
    print("All setup is done!")

    style_vector = model.get_style_vector("amitaro", 0, 1.0)
    with open("output.wav", "wb") as f:
        f.write(
-            model.synthesize("おはようございます。", "amitaro", 0, 0, 0.0, 0.5)
+            model.synthesize("おはようございます。", "amitaro", style_vector, 0.0, 0.5)
        )


--- a/crates/sbv2_bindings/pyproject.toml
+++ b/crates/sbv2_bindings/pyproject.toml
--- a/crates/sbv2_bindings/src/lib.rs
+++ b/crates/sbv2_bindings/src/lib.rs
--- a/crates/sbv2_bindings/src/sbv2.rs
+++ b/crates/sbv2_bindings/src/sbv2.rs
@@ -107,7 +107,7 @@ impl TTSModel {
    /// style_vector : StyleVector
    ///     スタイルベクトル
    fn get_style_vector(
-        &mut self,
+        &self,
        ident: String,
        style_id: i32,
        weight: f32,
@@ -145,7 +145,7 @@ impl TTSModel {
        speaker_id: i64,
        sdp_ratio: f32,
        length_scale: f32,
-    ) -> anyhow::Result<Bound<'p, PyBytes>> {
+    ) -> anyhow::Result<Bound<PyBytes>> {
        let data = self.model.easy_synthesize(
            ident.as_str(),
            &text,
@@ -157,7 +157,7 @@ impl TTSModel {
                ..Default::default()
            },
        )?;
-        Ok(PyBytes::new(py, &data))
+        Ok(PyBytes::new_bound(py, &data))
    }

    fn unload(&mut self, ident: String) -> bool {
--- a/crates/sbv2_bindings/src/style.rs
+++ b/crates/sbv2_bindings/src/style.rs
--- a/crates/sbv2_core/Cargo.toml
+++ b/crates/sbv2_core/Cargo.toml
@@ -1,12 +1,12 @@
 [package]
 name = "sbv2_core"
-version.workspace = true
-edition.workspace = true
-description.workspace = true
-readme.workspace = true
-repository.workspace = true
-documentation.workspace = true
-license.workspace = true
+description = "Style-Bert-VITSの推論ライブラリ"
+version = "0.2.0-alpha4"
+edition = "2021"
+license = "MIT"
+readme = "../README.md"
+repository = "https://github.com/tuna2134/sbv2-api"
+documentation = "https://docs.rs/sbv2_core"

 [dependencies]
 anyhow.workspace = true
@@ -14,34 +14,29 @@ base64 = { version = "0.22.1", optional = true }
 dotenvy.workspace = true
 env_logger.workspace = true
 hound = "3.5.1"
-jpreprocess = { version = "0.12.0", features = ["naist-jdic"] }
+jpreprocess = { version = "0.10.0", features = ["naist-jdic"] }
 ndarray.workspace = true
 npyz = { version = "0.8.3", optional = true }
 num_cpus = "1.16.0"
 once_cell.workspace = true
-ort = { git = "https://github.com/pykeio/ort.git", version = "2.0.0-rc.9", optional = true }
+ort = { git = "https://github.com/pykeio/ort.git", version = "2.0.0-rc.8", optional = true }
 regex = "1.10.6"
 serde = { version = "1.0.210", features = ["derive"] }
 serde_json = "1.0.128"
 tar = "0.4.41"
-thiserror = "2.0.11"
-tokenizers = { version = "0.21.0", default-features = false }
+thiserror = "1.0.63"
+tokenizers = { version = "0.20.0", default-features = false }
 zstd = "0.13.2"

 [features]
 cuda = ["ort/cuda", "std"]
 cuda_tf32 = ["std", "cuda"]
-agpl_dict = []
 std = ["dep:ort", "tokenizers/progressbar", "tokenizers/onig", "tokenizers/esaxx_fast"]
 dynamic = ["ort/load-dynamic", "std"]
 directml = ["ort/directml", "std"]
 tensorrt = ["ort/tensorrt", "std"]
 coreml = ["ort/coreml", "std"]
-default = ["std", "agpl_dict"]
+default = ["std"]
 no_std = ["tokenizers/unstable_wasm"]
 aivmx = ["npyz", "base64"]
 base64 = ["dep:base64"]
-
-[build-dependencies]
-dirs = "6.0.0"
-ureq = "3.0.6"
--- a/crates/sbv2_core/mora_convert.py
+++ b/crates/sbv2_core/mora_convert.py
--- a/crates/sbv2_core/src/bert.rs
+++ b/crates/sbv2_core/src/bert.rs
@@ -1,18 +1,17 @@
 use crate::error::Result;
 use ndarray::{Array2, Ix2};
-use ort::session::Session;
-use ort::value::TensorRef;
+use ort::Session;

 pub fn predict(
-    session: &mut Session,
+    session: &Session,
    token_ids: Vec<i64>,
    attention_masks: Vec<i64>,
 ) -> Result<Array2<f32>> {
    let outputs = session.run(
        ort::inputs! {
-            "input_ids" => TensorRef::from_array_view((vec![1, token_ids.len() as i64], token_ids.as_slice()))?,
-            "attention_mask" => TensorRef::from_array_view((vec![1, attention_masks.len() as i64], attention_masks.as_slice()))?,
-        }
+            "input_ids" => Array2::from_shape_vec((1, token_ids.len()), token_ids).unwrap(),
+            "attention_mask" => Array2::from_shape_vec((1, attention_masks.len()), attention_masks).unwrap(),
+        }?
    )?;

    let output = outputs["output"]
--- a/crates/sbv2_core/src/error.rs
+++ b/crates/sbv2_core/src/error.rs
@@ -6,8 +6,6 @@ pub enum Error {
    TokenizerError(#[from] tokenizers::Error),
    #[error("JPreprocess error: {0}")]
    JPreprocessError(#[from] jpreprocess::error::JPreprocessError),
-    #[error("Lindera error: {0}")]
-    LinderaError(String),
    #[cfg(feature = "std")]
    #[error("ONNX error: {0}")]
    OrtError(#[from] ort::Error),
--- a/crates/sbv2_core/src/jtalk.rs
+++ b/crates/sbv2_core/src/jtalk.rs
@@ -1,32 +1,21 @@
 use crate::error::{Error, Result};
-use crate::mora::{CONSONANTS, MORA_KATA_TO_MORA_PHONEMES, MORA_PHONEMES_TO_MORA_KATA, VOWELS};
+use crate::mora::{MORA_KATA_TO_MORA_PHONEMES, VOWELS};
 use crate::norm::{replace_punctuation, PUNCTUATIONS};
-use jpreprocess::{kind, DefaultTokenizer, JPreprocess, SystemDictionaryConfig, UserDictionary};
+use jpreprocess::*;
 use once_cell::sync::Lazy;
 use regex::Regex;
 use std::cmp::Reverse;
 use std::collections::HashSet;
 use std::sync::Arc;

-type JPreprocessType = JPreprocess<DefaultTokenizer>;
-
-#[cfg(feature = "agpl_dict")]
-fn agpl_dict() -> Result<Option<UserDictionary>> {
-    Ok(Some(
-        UserDictionary::load(include_bytes!(concat!(env!("OUT_DIR"), "/all.bin")))
-            .map_err(|e| Error::LinderaError(e.to_string()))?,
-    ))
-}
-
-#[cfg(not(feature = "agpl_dict"))]
-fn agpl_dict() -> Result<Option<UserDictionary>> {
-    Ok(None)
-}
+type JPreprocessType = JPreprocess<DefaultFetcher>;

 fn initialize_jtalk() -> Result<JPreprocessType> {
-    let sdic =
-        SystemDictionaryConfig::Bundled(kind::JPreprocessDictionaryKind::NaistJdic).load()?;
-    let jpreprocess = JPreprocess::with_dictionaries(sdic, agpl_dict()?);
+    let config = JPreprocessConfig {
+        dictionary: SystemDictionaryConfig::Bundled(kind::JPreprocessDictionaryKind::NaistJdic),
+        user_dictionary: None,
+    };
+    let jpreprocess = JPreprocess::from_config(config)?;
    Ok(jpreprocess)
 }

@@ -76,34 +65,6 @@ static MORA_PATTERN: Lazy<Vec<String>> = Lazy::new(|| {
 });
 static LONG_PATTERN: Lazy<Regex> = Lazy::new(|| Regex::new(r"(\w)(ー*)").unwrap());

-fn phone_tone_to_kana(phones: Vec<String>, tones: Vec<i32>) -> Vec<(String, i32)> {
-    let phones = &phones[1..];
-    let tones = &tones[1..];
-    let mut results = Vec::new();
-    let mut current_mora = String::new();
-    for ((phone, next_phone), (&tone, &next_tone)) in phones
-        .iter()
-        .zip(phones.iter().skip(1))
-        .zip(tones.iter().zip(tones.iter().skip(1)))
-    {
-        if PUNCTUATIONS.contains(&phone.clone().as_str()) {
-            results.push((phone.to_string(), tone));
-            continue;
-        }
-        if CONSONANTS.contains(&phone.clone()) {
-            assert_eq!(current_mora, "");
-            assert_eq!(tone, next_tone);
-            current_mora = phone.to_string()
-        } else {
-            current_mora += phone;
-            let kana = MORA_PHONEMES_TO_MORA_KATA.get(&current_mora).unwrap();
-            results.push((kana.to_string(), tone));
-            current_mora = String::new();
-        }
-    }
-    results
-}
-
 pub struct JTalkProcess {
    jpreprocess: Arc<JPreprocessType>,
    parsed: Vec<String>,
@@ -193,11 +154,6 @@ impl JTalkProcess {
        Ok((phones, tones, new_word2ph))
    }

-    pub fn g2kana_tone(&self) -> Result<Vec<(String, i32)>> {
-        let (phones, tones, _) = self.g2p()?;
-        Ok(phone_tone_to_kana(phones, tones))
-    }
-
    fn distribute_phone(n_phone: i32, n_word: i32) -> Vec<i32> {
        let mut phones_per_word = vec![0; n_word as usize];
        for _ in 0..n_phone {
--- a/crates/sbv2_core/src/lib.rs
+++ b/crates/sbv2_core/src/lib.rs
--- a/crates/sbv2_core/src/main.rs
+++ b/crates/sbv2_core/src/main.rs
@@ -6,7 +6,7 @@ fn main_inner() -> anyhow::Result<()> {
    use sbv2_core::tts;
    dotenvy::dotenv_override().ok();
    env_logger::init();
-    let text = "今日の天気は快晴です。";
+    let text = fs::read_to_string("content.txt")?;
    let ident = "aaa";
    let mut tts_holder = tts::TTSModelHolder::new(
        &fs::read(env::var("BERT_MODEL_PATH")?)?,
@@ -15,22 +15,17 @@ fn main_inner() -> anyhow::Result<()> {
            .ok()
            .and_then(|x| x.parse().ok()),
    )?;
-    let mp = env::var("MODEL_PATH")?;
-    let b = fs::read(&mp)?;
    #[cfg(not(feature = "aivmx"))]
    {
-        tts_holder.load_sbv2file(ident, b)?;
+        tts_holder.load_sbv2file(ident, fs::read(env::var("MODEL_PATH")?)?)?;
    }
    #[cfg(feature = "aivmx")]
    {
-        if mp.ends_with(".sbv2") {
-            tts_holder.load_sbv2file(ident, b)?;
-        } else {
-            tts_holder.load_aivmx(ident, b)?;
-        }
+        tts_holder.load_aivmx(ident, fs::read(env::var("MODEL_PATH")?)?)?;
    }

-    let audio = tts_holder.easy_synthesize(ident, text, 0, 0, tts::SynthesizeOptions::default())?;
+    let audio =
+        tts_holder.easy_synthesize(ident, &text, 0, 0, tts::SynthesizeOptions::default())?;
    fs::write("output.wav", audio)?;

    Ok(())
--- a/sbv2_core/src/model.rs
+++ b/sbv2_core/src/model.rs
@@ -0,0 +1,90 @@
+use crate::error::Result;
+use ndarray::{array, Array1, Array2, Array3, Axis, Ix3};
+use ort::{GraphOptimizationLevel, Session};
+
+#[allow(clippy::vec_init_then_push, unused_variables)]
+pub fn load_model<P: AsRef<[u8]>>(model_file: P, bert: bool) -> Result<Session> {
+    let mut exp = Vec::new();
+    #[cfg(feature = "tensorrt")]
+    {
+        if bert {
+            exp.push(
+                ort::TensorRTExecutionProvider::default()
+                    .with_fp16(true)
+                    .with_profile_min_shapes("input_ids:1x1,attention_mask:1x1")
+                    .with_profile_max_shapes("input_ids:1x100,attention_mask:1x100")
+                    .with_profile_opt_shapes("input_ids:1x25,attention_mask:1x25")
+                    .build(),
+            );
+        }
+    }
+    #[cfg(feature = "cuda")]
+    {
+        #[allow(unused_mut)]
+        let mut cuda = ort::CUDAExecutionProvider::default()
+            .with_conv_algorithm_search(ort::CUDAExecutionProviderCuDNNConvAlgoSearch::Default);
+        #[cfg(feature = "cuda_tf32")]
+        {
+            cuda = cuda.with_tf32(true);
+        }
+        exp.push(cuda.build());
+    }
+    #[cfg(feature = "directml")]
+    {
+        exp.push(ort::DirectMLExecutionProvider::default().build());
+    }
+    #[cfg(feature = "coreml")]
+    {
+        exp.push(ort::CoreMLExecutionProvider::default().build());
+    }
+    exp.push(ort::CPUExecutionProvider::default().build());
+    Ok(Session::builder()?
+        .with_execution_providers(exp)?
+        .with_optimization_level(GraphOptimizationLevel::Level3)?
+        .with_intra_threads(num_cpus::get_physical())?
+        .with_parallel_execution(true)?
+        .with_inter_threads(num_cpus::get_physical())?
+        .commit_from_memory(model_file.as_ref())?)
+}
+
+#[allow(clippy::too_many_arguments)]
+pub fn synthesize(
+    session: &Session,
+    bert_ori: Array2<f32>,
+    x_tst: Array1<i64>,
+    sid: Array1<i64>,
+    tones: Array1<i64>,
+    lang_ids: Array1<i64>,
+    style_vector: Array1<f32>,
+    sdp_ratio: f32,
+    length_scale: f32,
+    noise_scale: f32,
+    noise_scale_w: f32,
+) -> Result<Array3<f32>> {
+    let bert = bert_ori.insert_axis(Axis(0));
+    let x_tst_lengths: Array1<i64> = array![x_tst.shape()[0] as i64];
+    let x_tst = x_tst.insert_axis(Axis(0));
+    let lang_ids = lang_ids.insert_axis(Axis(0));
+    let tones = tones.insert_axis(Axis(0));
+    let style_vector = style_vector.insert_axis(Axis(0));
+    let outputs = session.run(ort::inputs! {
+        "x_tst" => x_tst,
+        "x_tst_lengths" => x_tst_lengths,
+        "sid" => sid,
+        "tones" => tones,
+        "language" => lang_ids,
+        "bert" => bert,
+        "style_vec" => style_vector,
+        "sdp_ratio" => array![sdp_ratio],
+        "length_scale" => array![length_scale],
+        "noise_scale" => array![noise_scale],
+        "noise_scale_w" => array![noise_scale_w]
+    }?)?;
+
+    let audio_array = outputs["output"]
+        .try_extract_tensor::<f32>()?
+        .into_dimensionality::<Ix3>()?
+        .to_owned();
+
+    Ok(audio_array)
+}
--- a/crates/sbv2_core/src/mora.rs
+++ b/crates/sbv2_core/src/mora.rs
@@ -25,21 +25,6 @@ static MORA_LIST_ADDITIONAL: Lazy<Vec<Mora>> = Lazy::new(|| {
    data.additional
 });

-pub static MORA_PHONEMES_TO_MORA_KATA: Lazy<HashMap<String, String>> = Lazy::new(|| {
-    let mut map = HashMap::new();
-    for mora in MORA_LIST_MINIMUM.iter() {
-        map.insert(
-            format!(
-                "{}{}",
-                mora.consonant.clone().unwrap_or("".to_string()),
-                mora.vowel
-            ),
-            mora.mora.clone(),
-        );
-    }
-    map
-});
-
 pub static MORA_KATA_TO_MORA_PHONEMES: Lazy<HashMap<String, (Option<String>, String)>> =
    Lazy::new(|| {
        let mut map = HashMap::new();
@@ -52,12 +37,4 @@ pub static MORA_KATA_TO_MORA_PHONEMES: Lazy<HashMap<String, (Option<String>, Str
        map
    });

-pub static CONSONANTS: Lazy<Vec<String>> = Lazy::new(|| {
-    let consonants = MORA_KATA_TO_MORA_PHONEMES
-        .values()
-        .filter_map(|(consonant, _)| consonant.clone())
-        .collect::<Vec<_>>();
-    consonants
-});
-
 pub const VOWELS: [&str; 6] = ["a", "i", "u", "e", "o", "N"];
--- a/crates/sbv2_core/src/mora_list.json
+++ b/crates/sbv2_core/src/mora_list.json
--- a/crates/sbv2_core/src/nlp.rs
+++ b/crates/sbv2_core/src/nlp.rs
--- a/crates/sbv2_core/src/norm.rs
+++ b/crates/sbv2_core/src/norm.rs
--- a/crates/sbv2_core/src/sbv2file.rs
+++ b/crates/sbv2_core/src/sbv2file.rs
--- a/crates/sbv2_core/src/style.rs
+++ b/crates/sbv2_core/src/style.rs
--- a/crates/sbv2_core/src/tokenizer.rs
+++ b/crates/sbv2_core/src/tokenizer.rs
--- a/crates/sbv2_core/src/tts.rs
+++ b/crates/sbv2_core/src/tts.rs
@@ -5,7 +5,7 @@ use base64::prelude::{Engine as _, BASE64_STANDARD};
 #[cfg(feature = "aivmx")]
 use ndarray::ShapeBuilder;
 use ndarray::{concatenate, Array1, Array2, Array3, Axis};
-use ort::session::Session;
+use ort::Session;
 #[cfg(feature = "aivmx")]
 use std::io::Cursor;
 use tokenizers::Tokenizer;
@@ -41,7 +41,7 @@ pub struct TTSModelHolder {
    tokenizer: Tokenizer,
    bert: Session,
    models: Vec<TTSModel>,
-    pub jtalk: jtalk::JTalk,
+    jtalk: jtalk::JTalk,
    max_loaded_models: Option<usize>,
 }

@@ -200,40 +200,23 @@ impl TTSModelHolder {
    /// This function is for low-level usage, use `easy_synthesize` for high-level usage.
    #[allow(clippy::type_complexity)]
    pub fn parse_text(
-        &mut self,
+        &self,
        text: &str,
    ) -> Result<(Array2<f32>, Array1<i64>, Array1<i64>, Array1<i64>)> {
        crate::tts_util::parse_text_blocking(
            text,
-            None,
            &self.jtalk,
            &self.tokenizer,
            |token_ids, attention_masks| {
-                crate::bert::predict(&mut self.bert, token_ids, attention_masks)
+                crate::bert::predict(&self.bert, token_ids, attention_masks)
            },
        )
    }

-    pub fn parse_text_neo(
-        &mut self,
-        text: String,
-        given_tones: Option<Vec<i32>>,
-    ) -> Result<(Array2<f32>, Array1<i64>, Array1<i64>, Array1<i64>)> {
-        crate::tts_util::parse_text_blocking(
-            &text,
-            given_tones,
-            &self.jtalk,
-            &self.tokenizer,
-            |token_ids, attention_masks| {
-                crate::bert::predict(&mut self.bert, token_ids, attention_masks)
-            },
-        )
-    }
-
-    fn find_model<I: Into<TTSIdent>>(&mut self, ident: I) -> Result<&mut TTSModel> {
+    fn find_model<I: Into<TTSIdent>>(&self, ident: I) -> Result<&TTSModel> {
        let ident = ident.into();
        self.models
-            .iter_mut()
+            .iter()
            .find(|m| m.ident == ident)
            .ok_or(Error::ModelNotFoundError(ident.to_string()))
    }
@@ -279,7 +262,7 @@ impl TTSModelHolder {
    /// # Note
    /// This function is for low-level usage, use `easy_synthesize` for high-level usage.
    pub fn get_style_vector<I: Into<TTSIdent>>(
-        &mut self,
+        &self,
        ident: I,
        style_id: i32,
        weight: f32,
@@ -303,6 +286,11 @@ impl TTSModelHolder {
        options: SynthesizeOptions,
    ) -> Result<Vec<u8>> {
        self.find_and_load_model(ident)?;
+        let vits2 = &self
+            .find_model(ident)?
+            .vits2
+            .as_ref()
+            .ok_or(Error::ModelNotFoundError(ident.into().to_string()))?;
        let style_vector = self.get_style_vector(ident, style_id, options.style_weight)?;
        let audio_array = if options.split_sentences {
            let texts: Vec<&str> = text.split('\n').collect();
@@ -312,12 +300,6 @@ impl TTSModelHolder {
                    continue;
                }
                let (bert_ori, phones, tones, lang_ids) = self.parse_text(t)?;
-
-                let vits2 = self
-                    .find_model(ident)?
-                    .vits2
-                    .as_mut()
-                    .ok_or(Error::ModelNotFoundError(ident.into().to_string()))?;
                let audio = model::synthesize(
                    vits2,
                    bert_ori.to_owned(),
@@ -342,85 +324,6 @@ impl TTSModelHolder {
            )?
        } else {
            let (bert_ori, phones, tones, lang_ids) = self.parse_text(text)?;
-
-            let vits2 = self
-                .find_model(ident)?
-                .vits2
-                .as_mut()
-                .ok_or(Error::ModelNotFoundError(ident.into().to_string()))?;
-            model::synthesize(
-                vits2,
-                bert_ori.to_owned(),
-                phones,
-                Array1::from_vec(vec![speaker_id]),
-                tones,
-                lang_ids,
-                style_vector,
-                options.sdp_ratio,
-                options.length_scale,
-                0.677,
-                0.8,
-            )?
-        };
-        tts_util::array_to_vec(audio_array)
-    }
-
-    pub fn easy_synthesize_neo<I: Into<TTSIdent> + Copy>(
-        &mut self,
-        ident: I,
-        text: &str,
-        given_tones: Option<Vec<i32>>,
-        style_id: i32,
-        speaker_id: i64,
-        options: SynthesizeOptions,
-    ) -> Result<Vec<u8>> {
-        self.find_and_load_model(ident)?;
-        let style_vector = self.get_style_vector(ident, style_id, options.style_weight)?;
-        let audio_array = if options.split_sentences {
-            let texts: Vec<&str> = text.split('\n').collect();
-            let mut audios = vec![];
-            for (i, t) in texts.iter().enumerate() {
-                if t.is_empty() {
-                    continue;
-                }
-                let (bert_ori, phones, tones, lang_ids) =
-                    self.parse_text_neo(t.to_string(), given_tones.clone())?;
-
-                let vits2 = self
-                    .find_model(ident)?
-                    .vits2
-                    .as_mut()
-                    .ok_or(Error::ModelNotFoundError(ident.into().to_string()))?;
-                let audio = model::synthesize(
-                    vits2,
-                    bert_ori.to_owned(),
-                    phones,
-                    Array1::from_vec(vec![speaker_id]),
-                    tones,
-                    lang_ids,
-                    style_vector.clone(),
-                    options.sdp_ratio,
-                    options.length_scale,
-                    0.677,
-                    0.8,
-                )?;
-                audios.push(audio.clone());
-                if i != texts.len() - 1 {
-                    audios.push(Array3::zeros((1, 1, 22050)));
-                }
-            }
-            concatenate(
-                Axis(2),
-                &audios.iter().map(|x| x.view()).collect::<Vec<_>>(),
-            )?
-        } else {
-            let (bert_ori, phones, tones, lang_ids) = self.parse_text(text)?;
-
-            let vits2 = self
-                .find_model(ident)?
-                .vits2
-                .as_mut()
-                .ok_or(Error::ModelNotFoundError(ident.into().to_string()))?;
            model::synthesize(
                vits2,
                bert_ori.to_owned(),
--- a/crates/sbv2_core/src/tts_util.rs
+++ b/crates/sbv2_core/src/tts_util.rs
@@ -1,22 +1,10 @@
 use std::io::Cursor;

 use crate::error::Result;
-use crate::jtalk::JTalkProcess;
-use crate::mora::MORA_KATA_TO_MORA_PHONEMES;
-use crate::norm::PUNCTUATIONS;
 use crate::{jtalk, nlp, norm, tokenizer, utils};
 use hound::{SampleFormat, WavSpec, WavWriter};
 use ndarray::{concatenate, s, Array, Array1, Array2, Array3, Axis};
 use tokenizers::Tokenizer;
-
-pub fn preprocess_parse_text(text: &str, jtalk: &jtalk::JTalk) -> Result<(String, JTalkProcess)> {
-    let text = jtalk.num2word(text)?;
-    let normalized_text = norm::normalize_text(&text);
-
-    let process = jtalk.process_text(&normalized_text)?;
-    Ok((normalized_text, process))
-}
-
 /// Parse text and return the input for synthesize
 ///
 /// # Note
@@ -33,9 +21,13 @@ pub async fn parse_text(
        Box<dyn std::future::Future<Output = Result<ndarray::Array2<f32>>>>,
    >,
 ) -> Result<(Array2<f32>, Array1<i64>, Array1<i64>, Array1<i64>)> {
-    let (normalized_text, process) = preprocess_parse_text(text, jtalk)?;
+    let text = jtalk.num2word(text)?;
+    let normalized_text = norm::normalize_text(&text);
+
+    let process = jtalk.process_text(&normalized_text)?;
    let (phones, tones, mut word2ph) = process.g2p()?;
    let (phones, tones, lang_ids) = nlp::cleaned_text_to_sequence(phones, tones);
+
    let phones = utils::intersperse(&phones, 0);
    let tones = utils::intersperse(&tones, 0);
    let lang_ids = utils::intersperse(&lang_ids, 0);
@@ -100,7 +92,6 @@ pub async fn parse_text(
 #[allow(clippy::type_complexity)]
 pub fn parse_text_blocking(
    text: &str,
-    given_tones: Option<Vec<i32>>,
    jtalk: &jtalk::JTalk,
    tokenizer: &Tokenizer,
    bert_predict: impl FnOnce(Vec<i64>, Vec<i64>) -> Result<ndarray::Array2<f32>>,
@@ -109,10 +100,7 @@ pub fn parse_text_blocking(
    let normalized_text = norm::normalize_text(&text);

    let process = jtalk.process_text(&normalized_text)?;
-    let (phones, mut tones, mut word2ph) = process.g2p()?;
-    if let Some(given_tones) = given_tones {
-        tones = given_tones;
-    }
+    let (phones, tones, mut word2ph) = process.g2p()?;
    let (phones, tones, lang_ids) = nlp::cleaned_text_to_sequence(phones, tones);

    let phones = utils::intersperse(&phones, 0);
@@ -190,23 +178,3 @@ pub fn array_to_vec(audio_array: Array3<f32>) -> Result<Vec<u8>> {
    writer.finalize()?;
    Ok(cursor.into_inner())
 }
-
-pub fn kata_tone2phone_tone(kata_tone: Vec<(String, i32)>) -> Vec<(String, i32)> {
-    let mut results = vec![("_".to_string(), 0)];
-    for (mora, tone) in kata_tone {
-        if PUNCTUATIONS.contains(&mora.as_str()) {
-            results.push((mora, 0));
-            continue;
-        } else {
-            let (consonant, vowel) = MORA_KATA_TO_MORA_PHONEMES.get(&mora).unwrap();
-            if let Some(consonant) = consonant {
-                results.push((consonant.to_string(), tone));
-                results.push((vowel.to_string(), tone));
-            } else {
-                results.push((vowel.to_string(), tone));
-            }
-        }
-    }
-    results.push(("_".to_string(), 0));
-    results
-}
--- a/crates/sbv2_core/src/utils.rs
+++ b/crates/sbv2_core/src/utils.rs
--- a/crates/sbv2_wasm/Cargo.toml
+++ b/crates/sbv2_wasm/Cargo.toml
@@ -1,12 +1,7 @@
 [package]
 name = "sbv2_wasm"
-version.workspace = true
-edition.workspace = true
-description.workspace = true
-readme.workspace = true
-repository.workspace = true
-documentation.workspace = true
-license.workspace = true
+version = "0.1.0"
+edition = "2021"

 [lib]
 crate-type = ["cdylib", "rlib"]
@@ -18,3 +13,7 @@ once_cell.workspace = true
 js-sys = "0.3.70"
 ndarray.workspace = true
 wasm-bindgen-futures = "0.4.43"
+
+[profile.release]
+lto = true
+opt-level = "s"
--- a/crates/sbv2_wasm/README.md
+++ b/crates/sbv2_wasm/README.md
--- a/crates/sbv2_wasm/biome.json
+++ b/crates/sbv2_wasm/biome.json
--- a/sbv2_wasm/build.sh
+++ b/sbv2_wasm/build.sh
@@ -0,0 +1,4 @@
+wasm-pack build --target web sbv2_wasm
+wasm-opt -O3 -o sbv2_wasm/pkg/sbv2_wasm_bg.wasm sbv2_wasm/pkg/sbv2_wasm_bg.wasm
+mkdir -p sbv2_wasm/dist
+cp sbv2_wasm/sbv2_wasm/pkg/sbv2_wasm_bg.wasm sbv2_wasm/dist/sbv2_wasm_bg.wasm
--- a/sbv2_wasm/example.html
+++ b/sbv2_wasm/example.html
@@ -0,0 +1,51 @@
+<!doctype html>
+<html lang="en">
+
+<head>
+    <meta charset="UTF-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" />
+    <title>Style Bert VITS2 Web</title>
+    <script type="importmap">
+        {
+            "imports": {
+            "onnxruntime-web": "https://cdn.jsdelivr.net/npm/onnxruntime-web@1.19.2/dist/ort.all.min.mjs",
+            "sbv2": "https://cdn.jsdelivr.net/npm/sbv2@0.1.1+esm"
+            }
+        }
+    </script>
+    <script type="module" async defer>
+        import { ModelHolder } from "sbv2";
+        await ModelHolder.globalInit(
+            await (
+                await fetch("https://esm.sh/sbv2@0.1.1/dist/sbv2_wasm_bg.wasm", { cache: "force-cache" })
+            ).arrayBuffer(),
+        );
+        const holder = await ModelHolder.create(
+            await (
+                await fetch("/models/tokenizer.json", { cache: "force-cache" })
+            ).text(),
+            await (
+                await fetch("/models/deberta.onnx", { cache: "force-cache" })
+            ).arrayBuffer(),
+        );
+        if (typeof window.onready == "function") {
+            window.onready(holder);
+        }
+    </script>
+    <script type="module" async defer>
+        window.onready = async function (holder) {
+            await holder.load(
+                "amitaro",
+                await (await fetch("/models/amitaro.sbv2")).arrayBuffer(),
+            );
+            const wave = await holder.synthesize("amitaro", "おはよう");
+            console.log(wave);
+        };
+    </script>
+</head>
+
+<body>
+    <div id="root"></div>
+</body>
+
+</html>
--- a/crates/sbv2_wasm/example.js
+++ b/crates/sbv2_wasm/example.js
@@ -3,12 +3,9 @@ import fs from "node:fs/promises";

 ModelHolder.globalInit(await fs.readFile("./dist/sbv2_wasm_bg.wasm"));
 const holder = await ModelHolder.create(
-	(await fs.readFile("../../models/tokenizer.json")).toString("utf-8"),
-	await fs.readFile("../../models/deberta.onnx"),
-);
-await holder.load(
-	"tsukuyomi",
-	await fs.readFile("../../models/tsukuyomi.sbv2"),
+	(await fs.readFile("../models/tokenizer.json")).toString("utf-8"),
+	await fs.readFile("../models/deberta.onnx"),
 );
+await holder.load("tsukuyomi", await fs.readFile("../models/iroha2.sbv2"));
 await fs.writeFile("out.wav", await holder.synthesize("tsukuyomi", "おはよう"));
 holder.unload("tsukuyomi");
--- a/crates/sbv2_wasm/package.json
+++ b/crates/sbv2_wasm/package.json
@@ -1,6 +1,6 @@
 {
 	"name": "sbv2",
-	"version": "0.2.0-alpha6",
+	"version": "0.1.1",
 	"description": "Style Bert VITS2 wasm",
 	"main": "dist/index.js",
 	"types": "dist/index.d.ts",
@@ -13,13 +13,13 @@
 	"author": "tuna2134",
 	"license": "MIT",
 	"devDependencies": {
-		"@biomejs/biome": "^1.9.4",
-		"@types/node": "^22.13.5",
-		"esbuild": "^0.25.0",
-		"typescript": "^5.7.3"
+		"@biomejs/biome": "^1.9.2",
+		"@types/node": "^22.7.4",
+		"esbuild": "^0.24.0",
+		"typescript": "^5.6.2"
 	},
 	"dependencies": {
-		"onnxruntime-web": "^1.20.1"
+		"onnxruntime-web": "^1.19.2"
 	},
-	"files": ["dist/*", "package.json", "README.md", "pkg/*.ts", "pkg/*.js"]
+	"files": ["dist/*", "package.json", "README.md"]
 }
--- a/crates/sbv2_wasm/pnpm-lock.yaml
+++ b/crates/sbv2_wasm/pnpm-lock.yaml
@@ -9,21 +9,21 @@ importers:
  .:
    dependencies:
      onnxruntime-web:
-        specifier: ^1.20.1
-        version: 1.20.1
+        specifier: ^1.19.2
+        version: 1.20.0
    devDependencies:
      '@biomejs/biome':
-        specifier: ^1.9.4
+        specifier: ^1.9.2
        version: 1.9.4
      '@types/node':
-        specifier: ^22.13.5
-        version: 22.13.5
+        specifier: ^22.7.4
+        version: 22.8.0
      esbuild:
-        specifier: ^0.25.0
-        version: 0.25.0
+        specifier: ^0.24.0
+        version: 0.24.0
      typescript:
-        specifier: ^5.7.3
-        version: 5.8.3
+        specifier: ^5.6.2
+        version: 5.6.3

 packages:

@@ -80,152 +80,146 @@ packages:
    cpu: [x64]
    os: [win32]

-  '@esbuild/aix-ppc64@0.25.0':
-    resolution: {integrity: sha512-O7vun9Sf8DFjH2UtqK8Ku3LkquL9SZL8OLY1T5NZkA34+wG3OQF7cl4Ql8vdNzM6fzBbYfLaiRLIOZ+2FOCgBQ==}
+  '@esbuild/aix-ppc64@0.24.0':
+    resolution: {integrity: sha512-WtKdFM7ls47zkKHFVzMz8opM7LkcsIp9amDUBIAWirg70RM71WRSjdILPsY5Uv1D42ZpUfaPILDlfactHgsRkw==}
    engines: {node: '>=18'}
    cpu: [ppc64]
    os: [aix]

-  '@esbuild/android-arm64@0.25.0':
-    resolution: {integrity: sha512-grvv8WncGjDSyUBjN9yHXNt+cq0snxXbDxy5pJtzMKGmmpPxeAmAhWxXI+01lU5rwZomDgD3kJwulEnhTRUd6g==}
+  '@esbuild/android-arm64@0.24.0':
+    resolution: {integrity: sha512-Vsm497xFM7tTIPYK9bNTYJyF/lsP590Qc1WxJdlB6ljCbdZKU9SY8i7+Iin4kyhV/KV5J2rOKsBQbB77Ab7L/w==}
    engines: {node: '>=18'}
    cpu: [arm64]
    os: [android]

-  '@esbuild/android-arm@0.25.0':
-    resolution: {integrity: sha512-PTyWCYYiU0+1eJKmw21lWtC+d08JDZPQ5g+kFyxP0V+es6VPPSUhM6zk8iImp2jbV6GwjX4pap0JFbUQN65X1g==}
+  '@esbuild/android-arm@0.24.0':
+    resolution: {integrity: sha512-arAtTPo76fJ/ICkXWetLCc9EwEHKaeya4vMrReVlEIUCAUncH7M4bhMQ+M9Vf+FFOZJdTNMXNBrWwW+OXWpSew==}
    engines: {node: '>=18'}
    cpu: [arm]
    os: [android]

-  '@esbuild/android-x64@0.25.0':
-    resolution: {integrity: sha512-m/ix7SfKG5buCnxasr52+LI78SQ+wgdENi9CqyCXwjVR2X4Jkz+BpC3le3AoBPYTC9NHklwngVXvbJ9/Akhrfg==}
+  '@esbuild/android-x64@0.24.0':
+    resolution: {integrity: sha512-t8GrvnFkiIY7pa7mMgJd7p8p8qqYIz1NYiAoKc75Zyv73L3DZW++oYMSHPRarcotTKuSs6m3hTOa5CKHaS02TQ==}
    engines: {node: '>=18'}
    cpu: [x64]
    os: [android]

-  '@esbuild/darwin-arm64@0.25.0':
-    resolution: {integrity: sha512-mVwdUb5SRkPayVadIOI78K7aAnPamoeFR2bT5nszFUZ9P8UpK4ratOdYbZZXYSqPKMHfS1wdHCJk1P1EZpRdvw==}
+  '@esbuild/darwin-arm64@0.24.0':
+    resolution: {integrity: sha512-CKyDpRbK1hXwv79soeTJNHb5EiG6ct3efd/FTPdzOWdbZZfGhpbcqIpiD0+vwmpu0wTIL97ZRPZu8vUt46nBSw==}
    engines: {node: '>=18'}
    cpu: [arm64]
    os: [darwin]

-  '@esbuild/darwin-x64@0.25.0':
-    resolution: {integrity: sha512-DgDaYsPWFTS4S3nWpFcMn/33ZZwAAeAFKNHNa1QN0rI4pUjgqf0f7ONmXf6d22tqTY+H9FNdgeaAa+YIFUn2Rg==}
+  '@esbuild/darwin-x64@0.24.0':
+    resolution: {integrity: sha512-rgtz6flkVkh58od4PwTRqxbKH9cOjaXCMZgWD905JOzjFKW+7EiUObfd/Kav+A6Gyud6WZk9w+xu6QLytdi2OA==}
    engines: {node: '>=18'}
    cpu: [x64]
    os: [darwin]

-  '@esbuild/freebsd-arm64@0.25.0':
-    resolution: {integrity: sha512-VN4ocxy6dxefN1MepBx/iD1dH5K8qNtNe227I0mnTRjry8tj5MRk4zprLEdG8WPyAPb93/e4pSgi1SoHdgOa4w==}
+  '@esbuild/freebsd-arm64@0.24.0':
+    resolution: {integrity: sha512-6Mtdq5nHggwfDNLAHkPlyLBpE5L6hwsuXZX8XNmHno9JuL2+bg2BX5tRkwjyfn6sKbxZTq68suOjgWqCicvPXA==}
    engines: {node: '>=18'}
    cpu: [arm64]
    os: [freebsd]

-  '@esbuild/freebsd-x64@0.25.0':
-    resolution: {integrity: sha512-mrSgt7lCh07FY+hDD1TxiTyIHyttn6vnjesnPoVDNmDfOmggTLXRv8Id5fNZey1gl/V2dyVK1VXXqVsQIiAk+A==}
+  '@esbuild/freebsd-x64@0.24.0':
+    resolution: {integrity: sha512-D3H+xh3/zphoX8ck4S2RxKR6gHlHDXXzOf6f/9dbFt/NRBDIE33+cVa49Kil4WUjxMGW0ZIYBYtaGCa2+OsQwQ==}
    engines: {node: '>=18'}
    cpu: [x64]
    os: [freebsd]

-  '@esbuild/linux-arm64@0.25.0':
-    resolution: {integrity: sha512-9QAQjTWNDM/Vk2bgBl17yWuZxZNQIF0OUUuPZRKoDtqF2k4EtYbpyiG5/Dk7nqeK6kIJWPYldkOcBqjXjrUlmg==}
+  '@esbuild/linux-arm64@0.24.0':
+    resolution: {integrity: sha512-TDijPXTOeE3eaMkRYpcy3LarIg13dS9wWHRdwYRnzlwlA370rNdZqbcp0WTyyV/k2zSxfko52+C7jU5F9Tfj1g==}
    engines: {node: '>=18'}
    cpu: [arm64]
    os: [linux]

-  '@esbuild/linux-arm@0.25.0':
-    resolution: {integrity: sha512-vkB3IYj2IDo3g9xX7HqhPYxVkNQe8qTK55fraQyTzTX/fxaDtXiEnavv9geOsonh2Fd2RMB+i5cbhu2zMNWJwg==}
+  '@esbuild/linux-arm@0.24.0':
+    resolution: {integrity: sha512-gJKIi2IjRo5G6Glxb8d3DzYXlxdEj2NlkixPsqePSZMhLudqPhtZ4BUrpIuTjJYXxvF9njql+vRjB2oaC9XpBw==}
    engines: {node: '>=18'}
    cpu: [arm]
    os: [linux]

-  '@esbuild/linux-ia32@0.25.0':
-    resolution: {integrity: sha512-43ET5bHbphBegyeqLb7I1eYn2P/JYGNmzzdidq/w0T8E2SsYL1U6un2NFROFRg1JZLTzdCoRomg8Rvf9M6W6Gg==}
+  '@esbuild/linux-ia32@0.24.0':
+    resolution: {integrity: sha512-K40ip1LAcA0byL05TbCQ4yJ4swvnbzHscRmUilrmP9Am7//0UjPreh4lpYzvThT2Quw66MhjG//20mrufm40mA==}
    engines: {node: '>=18'}
    cpu: [ia32]
    os: [linux]

-  '@esbuild/linux-loong64@0.25.0':
-    resolution: {integrity: sha512-fC95c/xyNFueMhClxJmeRIj2yrSMdDfmqJnyOY4ZqsALkDrrKJfIg5NTMSzVBr5YW1jf+l7/cndBfP3MSDpoHw==}
+  '@esbuild/linux-loong64@0.24.0':
+    resolution: {integrity: sha512-0mswrYP/9ai+CU0BzBfPMZ8RVm3RGAN/lmOMgW4aFUSOQBjA31UP8Mr6DDhWSuMwj7jaWOT0p0WoZ6jeHhrD7g==}
    engines: {node: '>=18'}
    cpu: [loong64]
    os: [linux]

-  '@esbuild/linux-mips64el@0.25.0':
-    resolution: {integrity: sha512-nkAMFju7KDW73T1DdH7glcyIptm95a7Le8irTQNO/qtkoyypZAnjchQgooFUDQhNAy4iu08N79W4T4pMBwhPwQ==}
+  '@esbuild/linux-mips64el@0.24.0':
+    resolution: {integrity: sha512-hIKvXm0/3w/5+RDtCJeXqMZGkI2s4oMUGj3/jM0QzhgIASWrGO5/RlzAzm5nNh/awHE0A19h/CvHQe6FaBNrRA==}
    engines: {node: '>=18'}
    cpu: [mips64el]
    os: [linux]

-  '@esbuild/linux-ppc64@0.25.0':
-    resolution: {integrity: sha512-NhyOejdhRGS8Iwv+KKR2zTq2PpysF9XqY+Zk77vQHqNbo/PwZCzB5/h7VGuREZm1fixhs4Q/qWRSi5zmAiO4Fw==}
+  '@esbuild/linux-ppc64@0.24.0':
+    resolution: {integrity: sha512-HcZh5BNq0aC52UoocJxaKORfFODWXZxtBaaZNuN3PUX3MoDsChsZqopzi5UupRhPHSEHotoiptqikjN/B77mYQ==}
    engines: {node: '>=18'}
    cpu: [ppc64]
    os: [linux]

-  '@esbuild/linux-riscv64@0.25.0':
-    resolution: {integrity: sha512-5S/rbP5OY+GHLC5qXp1y/Mx//e92L1YDqkiBbO9TQOvuFXM+iDqUNG5XopAnXoRH3FjIUDkeGcY1cgNvnXp/kA==}
+  '@esbuild/linux-riscv64@0.24.0':
+    resolution: {integrity: sha512-bEh7dMn/h3QxeR2KTy1DUszQjUrIHPZKyO6aN1X4BCnhfYhuQqedHaa5MxSQA/06j3GpiIlFGSsy1c7Gf9padw==}
    engines: {node: '>=18'}
    cpu: [riscv64]
    os: [linux]

-  '@esbuild/linux-s390x@0.25.0':
-    resolution: {integrity: sha512-XM2BFsEBz0Fw37V0zU4CXfcfuACMrppsMFKdYY2WuTS3yi8O1nFOhil/xhKTmE1nPmVyvQJjJivgDT+xh8pXJA==}
+  '@esbuild/linux-s390x@0.24.0':
+    resolution: {integrity: sha512-ZcQ6+qRkw1UcZGPyrCiHHkmBaj9SiCD8Oqd556HldP+QlpUIe2Wgn3ehQGVoPOvZvtHm8HPx+bH20c9pvbkX3g==}
    engines: {node: '>=18'}
    cpu: [s390x]
    os: [linux]

-  '@esbuild/linux-x64@0.25.0':
-    resolution: {integrity: sha512-9yl91rHw/cpwMCNytUDxwj2XjFpxML0y9HAOH9pNVQDpQrBxHy01Dx+vaMu0N1CKa/RzBD2hB4u//nfc+Sd3Cw==}
+  '@esbuild/linux-x64@0.24.0':
+    resolution: {integrity: sha512-vbutsFqQ+foy3wSSbmjBXXIJ6PL3scghJoM8zCL142cGaZKAdCZHyf+Bpu/MmX9zT9Q0zFBVKb36Ma5Fzfa8xA==}
    engines: {node: '>=18'}
    cpu: [x64]
    os: [linux]

-  '@esbuild/netbsd-arm64@0.25.0':
-    resolution: {integrity: sha512-RuG4PSMPFfrkH6UwCAqBzauBWTygTvb1nxWasEJooGSJ/NwRw7b2HOwyRTQIU97Hq37l3npXoZGYMy3b3xYvPw==}
-    engines: {node: '>=18'}
-    cpu: [arm64]
-    os: [netbsd]
-
-  '@esbuild/netbsd-x64@0.25.0':
-    resolution: {integrity: sha512-jl+qisSB5jk01N5f7sPCsBENCOlPiS/xptD5yxOx2oqQfyourJwIKLRA2yqWdifj3owQZCL2sn6o08dBzZGQzA==}
+  '@esbuild/netbsd-x64@0.24.0':
+    resolution: {integrity: sha512-hjQ0R/ulkO8fCYFsG0FZoH+pWgTTDreqpqY7UnQntnaKv95uP5iW3+dChxnx7C3trQQU40S+OgWhUVwCjVFLvg==}
    engines: {node: '>=18'}
    cpu: [x64]
    os: [netbsd]

-  '@esbuild/openbsd-arm64@0.25.0':
-    resolution: {integrity: sha512-21sUNbq2r84YE+SJDfaQRvdgznTD8Xc0oc3p3iW/a1EVWeNj/SdUCbm5U0itZPQYRuRTW20fPMWMpcrciH2EJw==}
+  '@esbuild/openbsd-arm64@0.24.0':
+    resolution: {integrity: sha512-MD9uzzkPQbYehwcN583yx3Tu5M8EIoTD+tUgKF982WYL9Pf5rKy9ltgD0eUgs8pvKnmizxjXZyLt0z6DC3rRXg==}
    engines: {node: '>=18'}
    cpu: [arm64]
    os: [openbsd]

-  '@esbuild/openbsd-x64@0.25.0':
-    resolution: {integrity: sha512-2gwwriSMPcCFRlPlKx3zLQhfN/2WjJ2NSlg5TKLQOJdV0mSxIcYNTMhk3H3ulL/cak+Xj0lY1Ym9ysDV1igceg==}
+  '@esbuild/openbsd-x64@0.24.0':
+    resolution: {integrity: sha512-4ir0aY1NGUhIC1hdoCzr1+5b43mw99uNwVzhIq1OY3QcEwPDO3B7WNXBzaKY5Nsf1+N11i1eOfFcq+D/gOS15Q==}
    engines: {node: '>=18'}
    cpu: [x64]
    os: [openbsd]

-  '@esbuild/sunos-x64@0.25.0':
-    resolution: {integrity: sha512-bxI7ThgLzPrPz484/S9jLlvUAHYMzy6I0XiU1ZMeAEOBcS0VePBFxh1JjTQt3Xiat5b6Oh4x7UC7IwKQKIJRIg==}
+  '@esbuild/sunos-x64@0.24.0':
+    resolution: {integrity: sha512-jVzdzsbM5xrotH+W5f1s+JtUy1UWgjU0Cf4wMvffTB8m6wP5/kx0KiaLHlbJO+dMgtxKV8RQ/JvtlFcdZ1zCPA==}
    engines: {node: '>=18'}
    cpu: [x64]
    os: [sunos]

-  '@esbuild/win32-arm64@0.25.0':
-    resolution: {integrity: sha512-ZUAc2YK6JW89xTbXvftxdnYy3m4iHIkDtK3CLce8wg8M2L+YZhIvO1DKpxrd0Yr59AeNNkTiic9YLf6FTtXWMw==}
+  '@esbuild/win32-arm64@0.24.0':
+    resolution: {integrity: sha512-iKc8GAslzRpBytO2/aN3d2yb2z8XTVfNV0PjGlCxKo5SgWmNXx82I/Q3aG1tFfS+A2igVCY97TJ8tnYwpUWLCA==}
    engines: {node: '>=18'}
    cpu: [arm64]
    os: [win32]

-  '@esbuild/win32-ia32@0.25.0':
-    resolution: {integrity: sha512-eSNxISBu8XweVEWG31/JzjkIGbGIJN/TrRoiSVZwZ6pkC6VX4Im/WV2cz559/TXLcYbcrDN8JtKgd9DJVIo8GA==}
+  '@esbuild/win32-ia32@0.24.0':
+    resolution: {integrity: sha512-vQW36KZolfIudCcTnaTpmLQ24Ha1RjygBo39/aLkM2kmjkWmZGEJ5Gn9l5/7tzXA42QGIoWbICfg6KLLkIw6yw==}
    engines: {node: '>=18'}
    cpu: [ia32]
    os: [win32]

-  '@esbuild/win32-x64@0.25.0':
-    resolution: {integrity: sha512-ZENoHJBxA20C2zFzh6AI4fT6RraMzjYw4xKWemRTRmRVtN9c5DcH9r/f2ihEkMjOW5eGgrwCslG/+Y/3bL+DHQ==}
+  '@esbuild/win32-x64@0.24.0':
+    resolution: {integrity: sha512-7IAFPrjSQIJrGsK6flwg7NFmwBoSTyF3rl7If0hNUFQU4ilTsEPL6GuMuU9BfIWVVGuRnuIidkSMC+c0Otu8IA==}
    engines: {node: '>=18'}
    cpu: [x64]
    os: [win32]
@@ -260,11 +254,11 @@ packages:
  '@protobufjs/utf8@1.1.0':
    resolution: {integrity: sha512-Vvn3zZrhQZkkBE8LSuW3em98c0FwgO4nxzv6OdSxPKJIEKY2bGbHn+mhGIPerzI4twdxaP8/0+06HBpwf345Lw==}

-  '@types/node@22.13.5':
-    resolution: {integrity: sha512-+lTU0PxZXn0Dr1NBtC7Y8cR21AJr87dLLU953CWA6pMxxv/UDc7jYAY90upcrie1nRcD6XNG5HOYEDtgW5TxAg==}
+  '@types/node@22.8.0':
+    resolution: {integrity: sha512-84rafSBHC/z1i1E3p0cJwKA+CfYDNSXX9WSZBRopjIzLET8oNt6ht2tei4C7izwDeEiLLfdeSVBv1egOH916hg==}

-  esbuild@0.25.0:
-    resolution: {integrity: sha512-BXq5mqc8ltbaN34cDqWuYKyNhX8D/Z0J1xdtdQ8UcIIIyJyz+ZMKUt58tF3SrZ85jcfN/PZYhjR5uDQAYNVbuw==}
+  esbuild@0.24.0:
+    resolution: {integrity: sha512-FuLPevChGDshgSicjisSooU0cemp/sGXR841D5LHMB7mTVOmsEHcAxaH3irL53+8YDIeVNQEySh4DaYU/iuPqQ==}
    engines: {node: '>=18'}
    hasBin: true

@@ -274,14 +268,14 @@ packages:
  guid-typescript@1.0.9:
    resolution: {integrity: sha512-Y8T4vYhEfwJOTbouREvG+3XDsjr8E3kIr7uf+JZ0BYloFsttiHU0WfvANVsR7TxNUJa/WpCnw/Ino/p+DeBhBQ==}

-  long@5.3.1:
-    resolution: {integrity: sha512-ka87Jz3gcx/I7Hal94xaN2tZEOPoUOEVftkQqZx2EeQRN7LGdfLlI3FvZ+7WDplm+vK2Urx9ULrvSowtdCieng==}
+  long@5.2.3:
+    resolution: {integrity: sha512-lcHwpNoggQTObv5apGNCTdJrO69eHOZMi4BNC+rTLER8iHAqGrUVeLh/irVIM7zTw2bOXA8T6uNPeujwOLg/2Q==}

-  onnxruntime-common@1.20.1:
-    resolution: {integrity: sha512-YiU0s0IzYYC+gWvqD1HzLc46Du1sXpSiwzKb63PACIJr6LfL27VsXSXQvt68EzD3V0D5Bc0vyJTjmMxp0ylQiw==}
+  onnxruntime-common@1.20.0:
+    resolution: {integrity: sha512-9ehS4ul5fBszIcHhfxuDgk45lO+Fqrxmrgwk1Pxb1JRvbQiCB/v9Royv95SRCWHktLMviqNjBsEd/biJhd39cg==}

-  onnxruntime-web@1.20.1:
-    resolution: {integrity: sha512-TePF6XVpLL1rWVMIl5Y9ACBQcyCNFThZON/jgElNd9Txb73CIEGlklhYR3UEr1cp5r0rbGI6nDwwrs79g7WjoA==}
+  onnxruntime-web@1.20.0:
+    resolution: {integrity: sha512-IoUf8dqHFJLV4DUSz+Ok+xxyN6cQk57gb20m6PZE5gag3QXuvegYMq9dG8t/QF4JjTKIwvfvnr16ouzCCB9IMA==}

  platform@1.3.6:
    resolution: {integrity: sha512-fnWVljUchTro6RiCFvCXBbNhJc2NijN7oIQxbwsyL0buWJPG85v81ehlHI9fXrJsMNgTofEoWIQeClKpgxFLrg==}
@@ -290,13 +284,13 @@ packages:
    resolution: {integrity: sha512-mRUWCc3KUU4w1jU8sGxICXH/gNS94DvI1gxqDvBzhj1JpcsimQkYiOJfwsPUykUI5ZaspFbSgmBLER8IrQ3tqw==}
    engines: {node: '>=12.0.0'}

-  typescript@5.8.3:
-    resolution: {integrity: sha512-p1diW6TqL9L07nNxvRMM7hMMw4c5XOo/1ibL4aAIGmSAt9slTE1Xgw5KWuof2uTOvCg9BY7ZRi+GaF+7sfgPeQ==}
+  typescript@5.6.3:
+    resolution: {integrity: sha512-hjcS1mhfuyi4WW8IWtjP7brDrG2cuDZukyrYrSauoXGNgx0S7zceP07adYkJycEr56BOUTNPzbInooiN3fn1qw==}
    engines: {node: '>=14.17'}
    hasBin: true

-  undici-types@6.20.0:
-    resolution: {integrity: sha512-Ny6QZ2Nju20vw1SRHe3d9jVu6gJ+4e3+MMpqu7pqE5HT6WsTSlce++GQmK5UXS8mzV8DSYHrQH+Xrf2jVcuKNg==}
+  undici-types@6.19.8:
+    resolution: {integrity: sha512-ve2KP6f/JnbPBFyobGHuerC9g1FYGn/F8n1LWTwNxCEzd6IfqTwUQcNXgEtmmQ6DlRrC1hrSrBnCZPokRrDHjw==}

 snapshots:

@@ -335,79 +329,76 @@ snapshots:
  '@biomejs/cli-win32-x64@1.9.4':
    optional: true

-  '@esbuild/aix-ppc64@0.25.0':
+  '@esbuild/aix-ppc64@0.24.0':
    optional: true

-  '@esbuild/android-arm64@0.25.0':
+  '@esbuild/android-arm64@0.24.0':
    optional: true

-  '@esbuild/android-arm@0.25.0':
+  '@esbuild/android-arm@0.24.0':
    optional: true

-  '@esbuild/android-x64@0.25.0':
+  '@esbuild/android-x64@0.24.0':
    optional: true

-  '@esbuild/darwin-arm64@0.25.0':
+  '@esbuild/darwin-arm64@0.24.0':
    optional: true

-  '@esbuild/darwin-x64@0.25.0':
+  '@esbuild/darwin-x64@0.24.0':
    optional: true

-  '@esbuild/freebsd-arm64@0.25.0':
+  '@esbuild/freebsd-arm64@0.24.0':
    optional: true

-  '@esbuild/freebsd-x64@0.25.0':
+  '@esbuild/freebsd-x64@0.24.0':
    optional: true

-  '@esbuild/linux-arm64@0.25.0':
+  '@esbuild/linux-arm64@0.24.0':
    optional: true

-  '@esbuild/linux-arm@0.25.0':
+  '@esbuild/linux-arm@0.24.0':
    optional: true

-  '@esbuild/linux-ia32@0.25.0':
+  '@esbuild/linux-ia32@0.24.0':
    optional: true

-  '@esbuild/linux-loong64@0.25.0':
+  '@esbuild/linux-loong64@0.24.0':
    optional: true

-  '@esbuild/linux-mips64el@0.25.0':
+  '@esbuild/linux-mips64el@0.24.0':
    optional: true

-  '@esbuild/linux-ppc64@0.25.0':
+  '@esbuild/linux-ppc64@0.24.0':
    optional: true

-  '@esbuild/linux-riscv64@0.25.0':
+  '@esbuild/linux-riscv64@0.24.0':
    optional: true

-  '@esbuild/linux-s390x@0.25.0':
+  '@esbuild/linux-s390x@0.24.0':
    optional: true

-  '@esbuild/linux-x64@0.25.0':
+  '@esbuild/linux-x64@0.24.0':
    optional: true

-  '@esbuild/netbsd-arm64@0.25.0':
+  '@esbuild/netbsd-x64@0.24.0':
    optional: true

-  '@esbuild/netbsd-x64@0.25.0':
+  '@esbuild/openbsd-arm64@0.24.0':
    optional: true

-  '@esbuild/openbsd-arm64@0.25.0':
+  '@esbuild/openbsd-x64@0.24.0':
    optional: true

-  '@esbuild/openbsd-x64@0.25.0':
+  '@esbuild/sunos-x64@0.24.0':
    optional: true

-  '@esbuild/sunos-x64@0.25.0':
+  '@esbuild/win32-arm64@0.24.0':
    optional: true

-  '@esbuild/win32-arm64@0.25.0':
+  '@esbuild/win32-ia32@0.24.0':
    optional: true

-  '@esbuild/win32-ia32@0.25.0':
-    optional: true
-
-  '@esbuild/win32-x64@0.25.0':
+  '@esbuild/win32-x64@0.24.0':
    optional: true

  '@protobufjs/aspromise@1.1.2': {}
@@ -433,52 +424,51 @@ snapshots:

  '@protobufjs/utf8@1.1.0': {}

-  '@types/node@22.13.5':
+  '@types/node@22.8.0':
    dependencies:
-      undici-types: 6.20.0
+      undici-types: 6.19.8

-  esbuild@0.25.0:
+  esbuild@0.24.0:
    optionalDependencies:
-      '@esbuild/aix-ppc64': 0.25.0
-      '@esbuild/android-arm': 0.25.0
-      '@esbuild/android-arm64': 0.25.0
-      '@esbuild/android-x64': 0.25.0
-      '@esbuild/darwin-arm64': 0.25.0
-      '@esbuild/darwin-x64': 0.25.0
-      '@esbuild/freebsd-arm64': 0.25.0
-      '@esbuild/freebsd-x64': 0.25.0
-      '@esbuild/linux-arm': 0.25.0
-      '@esbuild/linux-arm64': 0.25.0
-      '@esbuild/linux-ia32': 0.25.0
-      '@esbuild/linux-loong64': 0.25.0
-      '@esbuild/linux-mips64el': 0.25.0
-      '@esbuild/linux-ppc64': 0.25.0
-      '@esbuild/linux-riscv64': 0.25.0
-      '@esbuild/linux-s390x': 0.25.0
-      '@esbuild/linux-x64': 0.25.0
-      '@esbuild/netbsd-arm64': 0.25.0
-      '@esbuild/netbsd-x64': 0.25.0
-      '@esbuild/openbsd-arm64': 0.25.0
-      '@esbuild/openbsd-x64': 0.25.0
-      '@esbuild/sunos-x64': 0.25.0
-      '@esbuild/win32-arm64': 0.25.0
-      '@esbuild/win32-ia32': 0.25.0
-      '@esbuild/win32-x64': 0.25.0
+      '@esbuild/aix-ppc64': 0.24.0
+      '@esbuild/android-arm': 0.24.0
+      '@esbuild/android-arm64': 0.24.0
+      '@esbuild/android-x64': 0.24.0
+      '@esbuild/darwin-arm64': 0.24.0
+      '@esbuild/darwin-x64': 0.24.0
+      '@esbuild/freebsd-arm64': 0.24.0
+      '@esbuild/freebsd-x64': 0.24.0
+      '@esbuild/linux-arm': 0.24.0
+      '@esbuild/linux-arm64': 0.24.0
+      '@esbuild/linux-ia32': 0.24.0
+      '@esbuild/linux-loong64': 0.24.0
+      '@esbuild/linux-mips64el': 0.24.0
+      '@esbuild/linux-ppc64': 0.24.0
+      '@esbuild/linux-riscv64': 0.24.0
+      '@esbuild/linux-s390x': 0.24.0
+      '@esbuild/linux-x64': 0.24.0
+      '@esbuild/netbsd-x64': 0.24.0
+      '@esbuild/openbsd-arm64': 0.24.0
+      '@esbuild/openbsd-x64': 0.24.0
+      '@esbuild/sunos-x64': 0.24.0
+      '@esbuild/win32-arm64': 0.24.0
+      '@esbuild/win32-ia32': 0.24.0
+      '@esbuild/win32-x64': 0.24.0

  flatbuffers@1.12.0: {}

  guid-typescript@1.0.9: {}

-  long@5.3.1: {}
+  long@5.2.3: {}

-  onnxruntime-common@1.20.1: {}
+  onnxruntime-common@1.20.0: {}

-  onnxruntime-web@1.20.1:
+  onnxruntime-web@1.20.0:
    dependencies:
      flatbuffers: 1.12.0
      guid-typescript: 1.0.9
-      long: 5.3.1
-      onnxruntime-common: 1.20.1
+      long: 5.2.3
+      onnxruntime-common: 1.20.0
      platform: 1.3.6
      protobufjs: 7.4.0

@@ -496,9 +486,9 @@ snapshots:
      '@protobufjs/path': 1.1.2
      '@protobufjs/pool': 1.1.0
      '@protobufjs/utf8': 1.1.0
-      '@types/node': 22.13.5
-      long: 5.3.1
+      '@types/node': 22.8.0
+      long: 5.2.3

-  typescript@5.8.3: {}
+  typescript@5.6.3: {}

-  undici-types@6.20.0: {}
+  undici-types@6.19.8: {}
--- a/crates/sbv2_wasm/src-js/index.ts
+++ b/crates/sbv2_wasm/src-js/index.ts
@@ -74,8 +74,6 @@ export class ModelHolder {
 							style_vec: e,
 							sdp_ratio: new Tensor("float32", [f]),
 							length_scale: new Tensor("float32", [g]),
-							noise_scale: new Tensor("float32", [0.677]),
-							noise_scale_w: new Tensor("float32", [0.8]),
 						})
 					).output;
 					return [new Uint32Array(res.dims), await res.getData(true)];
--- a/crates/sbv2_wasm/src/array_helper.rs
+++ b/crates/sbv2_wasm/src/array_helper.rs
--- a/crates/sbv2_wasm/src/lib.rs
+++ b/crates/sbv2_wasm/src/lib.rs
--- a/crates/sbv2_wasm/tsconfig.json
+++ b/crates/sbv2_wasm/tsconfig.json
--- a/scripts/.gitignore
+++ b/scripts/.gitignore
@@ -1,5 +0,0 @@
-*.json
-venv/
-tmp/
-*.safetensors
-*.npy
--- a/scripts/make_dict.sh
+++ b/scripts/make_dict.sh
@@ -1,14 +0,0 @@
-#!/bin/bash
-set -e
-git clone https://github.com/Aivis-Project/AivisSpeech-Engine ./scripts/tmp --filter=blob:none -n
-cd ./scripts/tmp
-git checkout 168b2a1144afe300b0490d9a6dd773ec6e927667 -- resources/dictionaries/*.csv
-cd ../..
-rm -rf ./crates/sbv2_core/src/dic
-cp -r ./scripts/tmp/resources/dictionaries ./crates/sbv2_core/src/dic
-rm -rf ./scripts/tmp
-for file in ./crates/sbv2_core/src/dic/0*.csv; do
-    /usr/bin/cat "$file"
-    echo
-done > ./crates/sbv2_core/src/all.csv
-lindera build ./crates/sbv2_core/src/all.csv ./crates/sbv2_core/src/dic/all.dic -u -k ipadic
--- a/scripts/sbv2-test-api.py
+++ b/scripts/sbv2-test-api.py
@@ -1,8 +0,0 @@
-import requests
-
-res = requests.post(
-    "http://localhost:3000/synthesize",
-    json={"text": "おはようございます", "ident": "tsukuyomi"},
-)
-with open("output.wav", "wb") as f:
-    f.write(res.content)
--- a/test.py
+++ b/test.py
@@ -1,19 +1,8 @@
 import requests

-
-data = (requests.get("http://localhost:8080/audio_query", params={
-    "text": "こんにちは、今日はいい天気ですね。",
-})).json()
-print(data)
-
-data = (requests.post("http://localhost:8080/synthesis", json={
-    "text": data["text"],
-    "ident": "tsukuyomi",
-    "speaker_id": 0,
-    "style_id": 0,
-    "sdp_ratio": 0.5,
-    "length_scale": 0.5,
-    "audio_query": data["audio_query"],
-})).content
-with open("test.wav", "wb") as f:
-    f.write(data)
+res = requests.post(
+    "http://localhost:3000/synthesize",
+    json={"text": "おはようございます", "ident": "tsukuyomi"},
+)
+with open("output.wav", "wb") as f:
+    f.write(res.content)