wip: wasm

Cargo.lock

@@ -189,6 +189,21 @@ dependencies = [
  "serde",
 ]
 
+[[package]]
+name = "bit-set"
+version = "0.5.3"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "0700ddab506f33b20a03b13996eccd309a48e5ff77d0d95926aa0210fb4e95f1"
+dependencies = [
+ "bit-vec",
+]
+
+[[package]]
+name = "bit-vec"
+version = "0.6.3"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "349f9b6a179ed607305526ca489b34ad0a41aed5f7980fa90eb03160b69598fb"
+
 [[package]]
 name = "bitflags"
 version = "1.3.2"
@@ -210,6 +225,12 @@ dependencies = [
  "generic-array",
 ]
 
+[[package]]
+name = "bumpalo"
+version = "3.16.0"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "79296716171880943b8470b5f8d03aa55eb2e645a4874bdbb28adb49162e012c"
+
 [[package]]
 name = "byteorder"
 version = "1.5.0"
@@ -556,6 +577,17 @@ dependencies = [
  "cc",
 ]
 
+[[package]]
+name = "fancy-regex"
+version = "0.13.0"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "531e46835a22af56d1e3b66f04844bed63158bc094a628bec1d321d9b4c44bf2"
+dependencies = [
+ "bit-set",
+ "regex-automata",
+ "regex-syntax",
+]
+
 [[package]]
 name = "filetime"
 version = "0.2.25"
@@ -643,8 +675,10 @@ source = "registry+https://github.com/rust-lang/crates.io-index"
 checksum = "c4567c8db10ae91089c99af84c68c38da3ec2f087c3f82960bcdbf3656b6f4d7"
 dependencies = [
  "cfg-if",
+ "js-sys",
  "libc",
  "wasi",
+ "wasm-bindgen",
 ]
 
 [[package]]
@@ -985,6 +1019,15 @@ version = "0.10.0"
 source = "registry+https://github.com/rust-lang/crates.io-index"
 checksum = "9c06d7aceb8ce626a3318183096aa6dad82f046b3cec5d43e90066d1b07445a2"
 
+[[package]]
+name = "js-sys"
+version = "0.3.70"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "1868808506b929d7b0cfa8f75951347aa71bb21144b7791bae35d9bccfcfe37a"
+dependencies = [
+ "wasm-bindgen",
+]
+
 [[package]]
 name = "lazy_static"
 version = "1.5.0"
@@ -1863,6 +1906,17 @@ dependencies = [
  "zstd",
 ]
 
+[[package]]
+name = "sbv2_wasm"
+version = "0.1.0"
+dependencies = [
+ "js-sys",
+ "ndarray",
+ "once_cell",
+ "sbv2_core",
+ "wasm-bindgen",
+]
+
 [[package]]
 name = "scopeguard"
 version = "1.2.0"
@@ -2118,6 +2172,7 @@ dependencies = [
  "aho-corasick",
  "derive_builder",
  "esaxx-rs",
+ "fancy-regex",
  "getrandom",
  "indicatif",
  "itertools 0.12.1",
@@ -2344,6 +2399,61 @@ version = "0.11.0+wasi-snapshot-preview1"
 source = "registry+https://github.com/rust-lang/crates.io-index"
 checksum = "9c8d87e72b64a3b4db28d11ce29237c246188f4f51057d65a7eab63b7987e423"
 
+[[package]]
+name = "wasm-bindgen"
+version = "0.2.93"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "a82edfc16a6c469f5f44dc7b571814045d60404b55a0ee849f9bcfa2e63dd9b5"
+dependencies = [
+ "cfg-if",
+ "once_cell",
+ "wasm-bindgen-macro",
+]
+
+[[package]]
+name = "wasm-bindgen-backend"
+version = "0.2.93"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "9de396da306523044d3302746f1208fa71d7532227f15e347e2d93e4145dd77b"
+dependencies = [
+ "bumpalo",
+ "log",
+ "once_cell",
+ "proc-macro2",
+ "quote",
+ "syn",
+ "wasm-bindgen-shared",
+]
+
+[[package]]
+name = "wasm-bindgen-macro"
+version = "0.2.93"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "585c4c91a46b072c92e908d99cb1dcdf95c5218eeb6f3bf1efa991ee7a68cccf"
+dependencies = [
+ "quote",
+ "wasm-bindgen-macro-support",
+]
+
+[[package]]
+name = "wasm-bindgen-macro-support"
+version = "0.2.93"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "afc340c74d9005395cf9dd098506f7f44e38f2b4a21c6aaacf9a105ea5e1e836"
+dependencies = [
+ "proc-macro2",
+ "quote",
+ "syn",
+ "wasm-bindgen-backend",
+ "wasm-bindgen-shared",
+]
+
+[[package]]
+name = "wasm-bindgen-shared"
+version = "0.2.93"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "c62a0a307cb4a311d3a07867860911ca130c3494e8c2719593806c08bc5d0484"
+
 [[package]]
 name = "webpki-roots"
 version = "0.26.5"

Cargo.toml

@@ -1,12 +1,13 @@
 [workspace]
 resolver = "2"
-members = ["sbv2_api", "sbv2_core", "sbv2_bindings"]
+members = ["sbv2_api", "sbv2_core", "sbv2_bindings", "sbv2_wasm"]
 
 [workspace.dependencies]
 anyhow = "1.0.86"
 dotenvy = "0.15.7"
 env_logger = "0.11.5"
 ndarray = "0.16.1"
+once_cell = "1.19.0"
 
 [profile.release]
 lto = true

sbv2_core/Cargo.toml

@@ -16,20 +16,23 @@ hound = "3.5.1"
 jpreprocess = { version = "0.10.0", features = ["naist-jdic"] }
 ndarray.workspace = true
 num_cpus = "1.16.0"
-once_cell = "1.19.0"
+once_cell.workspace = true
-ort = { git = "https://github.com/pykeio/ort.git", version = "2.0.0-rc.6" }
+ort = { git = "https://github.com/pykeio/ort.git", version = "2.0.0-rc.6", optional = true }
 regex = "1.10.6"
 serde = { version = "1.0.210", features = ["derive"] }
 serde_json = "1.0.128"
 tar = "0.4.41"
 thiserror = "1.0.63"
-tokenizers = "0.20.0"
+tokenizers = { version = "0.20.0", default-features = false }
 zstd = "0.13.2"
 
 [features]
-cuda = ["ort/cuda"]
+cuda = ["ort/cuda", "std"]
-cuda_tf32 = []
+cuda_tf32 = ["std", "cuda"]
-dynamic = ["ort/load-dynamic"]
+std = ["dep:ort", "tokenizers/progressbar", "tokenizers/onig", "tokenizers/esaxx_fast"]
-directml = ["ort/directml"]
+dynamic = ["ort/load-dynamic", "std"]
-tensorrt = ["ort/tensorrt"]
+directml = ["ort/directml", "std"]
-coreml = ["ort/coreml"]
+tensorrt = ["ort/tensorrt", "std"]
+coreml = ["ort/coreml", "std"]
+default = ["std"]
+no_std = ["tokenizers/unstable_wasm"]

sbv2_core/src/error.rs

@@ -6,6 +6,7 @@ pub enum Error {
     TokenizerError(#[from] tokenizers::Error),
     #[error("JPreprocess error: {0}")]
     JPreprocessError(#[from] jpreprocess::error::JPreprocessError),
+    #[cfg(feature = "std")]
     #[error("ONNX error: {0}")]
     OrtError(#[from] ort::Error),
     #[error("NDArray error: {0}")]
@@ -20,6 +21,8 @@ pub enum Error {
     HoundError(#[from] hound::Error),
     #[error("model not found error")]
     ModelNotFoundError(String),
+    #[error("other")]
+    OtherError(String),
 }
 
 pub type Result<T> = std::result::Result<T, Error>;

sbv2_core/src/lib.rs

@@ -1,11 +1,16 @@
+#[cfg(feature = "std")]
 pub mod bert;
 pub mod error;
 pub mod jtalk;
+#[cfg(feature = "std")]
 pub mod model;
 pub mod mora;
 pub mod nlp;
 pub mod norm;
+pub mod sbv2file;
 pub mod style;
 pub mod tokenizer;
+#[cfg(feature = "std")]
 pub mod tts;
+pub mod tts_util;
 pub mod utils;

sbv2_core/src/main.rs

@@ -1,9 +1,9 @@
+use std::env;
 use std::fs;
 
-use sbv2_core::tts;
+#[cfg(feature = "std")]
-use std::env;
+fn main_inner() -> anyhow::Result<()> {
-
+    use sbv2_core::tts;
-fn main() -> anyhow::Result<()> {
     dotenvy::dotenv_override().ok();
     env_logger::init();
     let text = fs::read_to_string("content.txt")?;
@@ -19,3 +19,13 @@ fn main() -> anyhow::Result<()> {
 
     Ok(())
 }
+#[cfg(not(feature = "std"))]
+fn main_inner() -> anyhow::Result<()> {
+    Ok(())
+}
+
+fn main() {
+    if let Err(e) = main_inner() {
+        println!("Error: {e}");
+    }
+}

sbv2_core/src/sbv2file.rs

@@ -0,0 +1,37 @@
+use std::io::{Cursor, Read};
+
+use tar::Archive;
+use zstd::decode_all;
+
+use crate::error::{Error, Result};
+
+/// Parse a .sbv2 file binary
+///
+/// # Examples
+///
+/// ```rs
+/// parse_sbv2file("tsukuyomi", std::fs::read("tsukuyomi.sbv2")?)?;
+/// ```
+pub fn parse_sbv2file<P: AsRef<[u8]>>(sbv2_bytes: P) -> Result<(Vec<u8>, Vec<u8>)> {
+    let mut arc = Archive::new(Cursor::new(decode_all(Cursor::new(sbv2_bytes.as_ref()))?));
+    let mut vits2 = None;
+    let mut style_vectors = None;
+    let mut et = arc.entries()?;
+    while let Some(Ok(mut e)) = et.next() {
+        let pth = String::from_utf8_lossy(&e.path_bytes()).to_string();
+        let mut b = Vec::with_capacity(e.size() as usize);
+        e.read_to_end(&mut b)?;
+        match pth.as_str() {
+            "model.onnx" => vits2 = Some(b),
+            "style_vectors.json" => style_vectors = Some(b),
+            _ => continue,
+        }
+    }
+    if style_vectors.is_none() {
+        return Err(Error::ModelNotFoundError("style_vectors".to_string()));
+    }
+    if vits2.is_none() {
+        return Err(Error::ModelNotFoundError("vits2".to_string()));
+    }
+    Ok((style_vectors.unwrap(), vits2.unwrap()))
+}

sbv2_core/src/tokenizer.rs

@@ -1,5 +1,5 @@
 use crate::error::Result;
-use tokenizers::Tokenizer;
+pub use tokenizers::Tokenizer;
 
 pub fn get_tokenizer<P: AsRef<[u8]>>(p: P) -> Result<Tokenizer> {
     let tokenizer = Tokenizer::from_bytes(p)?;

sbv2_core/src/tts.rs

@@ -1,12 +1,8 @@
 use crate::error::{Error, Result};
-use crate::{bert, jtalk, model, nlp, norm, style, tokenizer, utils};
+use crate::{jtalk, model, style, tokenizer, tts_util};
-use hound::{SampleFormat, WavSpec, WavWriter};
+use ndarray::{concatenate, Array1, Array2, Array3, Axis};
-use ndarray::{concatenate, s, Array, Array1, Array2, Array3, Axis};
 use ort::Session;
-use std::io::{Cursor, Read};
-use tar::Archive;
 use tokenizers::Tokenizer;
-use zstd::decode_all;
 
 #[derive(PartialEq, Eq, Clone)]
 pub struct TTSIdent(String);
@@ -78,27 +74,8 @@ impl TTSModelHolder {
         ident: I,
         sbv2_bytes: P,
     ) -> Result<()> {
-        let mut arc = Archive::new(Cursor::new(decode_all(Cursor::new(sbv2_bytes.as_ref()))?));
+        let (style_vectors, vits2) = crate::sbv2file::parse_sbv2file(sbv2_bytes)?;
-        let mut vits2 = None;
+        self.load(ident, style_vectors, vits2)?;
-        let mut style_vectors = None;
-        let mut et = arc.entries()?;
-        while let Some(Ok(mut e)) = et.next() {
-            let pth = String::from_utf8_lossy(&e.path_bytes()).to_string();
-            let mut b = Vec::with_capacity(e.size() as usize);
-            e.read_to_end(&mut b)?;
-            match pth.as_str() {
-                "model.onnx" => vits2 = Some(b),
-                "style_vectors.json" => style_vectors = Some(b),
-                _ => continue,
-            }
-        }
-        if style_vectors.is_none() {
-            return Err(Error::ModelNotFoundError("style_vectors".to_string()));
-        }
-        if vits2.is_none() {
-            return Err(Error::ModelNotFoundError("vits2".to_string()));
-        }
-        self.load(ident, style_vectors.unwrap(), vits2.unwrap())?;
         Ok(())
     }
 
@@ -151,69 +128,14 @@ impl TTSModelHolder {
         &self,
         text: &str,
     ) -> Result<(Array2<f32>, Array1<i64>, Array1<i64>, Array1<i64>)> {
-        let text = self.jtalk.num2word(text)?;
+        crate::tts_util::parse_text(
-        let normalized_text = norm::normalize_text(&text);
+            text,
-
+            &self.jtalk,
-        let process = self.jtalk.process_text(&normalized_text)?;
+            &self.tokenizer,
-        let (phones, tones, mut word2ph) = process.g2p()?;
+            |token_ids, attention_masks| {
-        let (phones, tones, lang_ids) = nlp::cleaned_text_to_sequence(phones, tones);
+                crate::bert::predict(&self.bert, token_ids, attention_masks)
-
+            },
-        let phones = utils::intersperse(&phones, 0);
+        )
-        let tones = utils::intersperse(&tones, 0);
-        let lang_ids = utils::intersperse(&lang_ids, 0);
-        for item in &mut word2ph {
-            *item *= 2;
-        }
-        word2ph[0] += 1;
-
-        let text = {
-            let (seq_text, _) = process.text_to_seq_kata()?;
-            seq_text.join("")
-        };
-        let (token_ids, attention_masks) = tokenizer::tokenize(&text, &self.tokenizer)?;
-
-        let bert_content = bert::predict(&self.bert, token_ids, attention_masks)?;
-
-        assert!(
-            word2ph.len() == text.chars().count() + 2,
-            "{} {}",
-            word2ph.len(),
-            normalized_text.chars().count()
-        );
-
-        let mut phone_level_feature = vec![];
-        for (i, reps) in word2ph.iter().enumerate() {
-            let repeat_feature = {
-                let (reps_rows, reps_cols) = (*reps, 1);
-                let arr_len = bert_content.slice(s![i, ..]).len();
-
-                let mut results: Array2<f32> =
-                    Array::zeros((reps_rows as usize, arr_len * reps_cols));
-
-                for j in 0..reps_rows {
-                    for k in 0..reps_cols {
-                        let mut view = results.slice_mut(s![j, k * arr_len..(k + 1) * arr_len]);
-                        view.assign(&bert_content.slice(s![i, ..]));
-                    }
-                }
-                results
-            };
-            phone_level_feature.push(repeat_feature);
-        }
-        let phone_level_feature = concatenate(
-            Axis(0),
-            &phone_level_feature
-                .iter()
-                .map(|x| x.view())
-                .collect::<Vec<_>>(),
-        )?;
-        let bert_ori = phone_level_feature.t();
-        Ok((
-            bert_ori.to_owned(),
-            phones.into(),
-            tones.into(),
-            lang_ids.into(),
-        ))
     }
 
     fn find_model<I: Into<TTSIdent>>(&self, ident: I) -> Result<&TTSModel> {
@@ -292,26 +214,7 @@ impl TTSModelHolder {
                 options.length_scale,
             )?
         };
-        Self::array_to_vec(audio_array)
+        tts_util::array_to_vec(audio_array)
-    }
-
-    fn array_to_vec(audio_array: Array3<f32>) -> Result<Vec<u8>> {
-        let spec = WavSpec {
-            channels: 1,
-            sample_rate: 44100,
-            bits_per_sample: 32,
-            sample_format: SampleFormat::Float,
-        };
-        let mut cursor = Cursor::new(Vec::new());
-        let mut writer = WavWriter::new(&mut cursor, spec)?;
-        for i in 0..audio_array.shape()[0] {
-            let output = audio_array.slice(s![i, 0, ..]).to_vec();
-            for sample in output {
-                writer.write_sample(sample)?;
-            }
-        }
-        writer.finalize()?;
-        Ok(cursor.into_inner())
     }
 
     /// Synthesize text to audio
@@ -340,7 +243,7 @@ impl TTSModelHolder {
             sdp_ratio,
             length_scale,
         )?;
-        Self::array_to_vec(audio_array)
+        tts_util::array_to_vec(audio_array)
     }
 }
 

sbv2_core/src/tts_util.rs

@@ -0,0 +1,100 @@
+use std::io::Cursor;
+
+use crate::error::Result;
+use crate::{jtalk, nlp, norm, tokenizer, utils};
+use hound::{SampleFormat, WavSpec, WavWriter};
+use ndarray::{concatenate, s, Array, Array1, Array2, Array3, Axis};
+use tokenizers::Tokenizer;
+/// Parse text and return the input for synthesize
+///
+/// # Note
+/// This function is for low-level usage, use `easy_synthesize` for high-level usage.
+#[allow(clippy::type_complexity)]
+pub fn parse_text(
+    text: &str,
+    jtalk: &jtalk::JTalk,
+    tokenizer: &Tokenizer,
+    bert_predict: impl FnOnce(Vec<i64>, Vec<i64>) -> Result<ndarray::Array2<f32>>,
+) -> Result<(Array2<f32>, Array1<i64>, Array1<i64>, Array1<i64>)> {
+    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);
+    for item in &mut word2ph {
+        *item *= 2;
+    }
+    word2ph[0] += 1;
+
+    let text = {
+        let (seq_text, _) = process.text_to_seq_kata()?;
+        seq_text.join("")
+    };
+    let (token_ids, attention_masks) = tokenizer::tokenize(&text, tokenizer)?;
+
+    let bert_content = bert_predict(token_ids, attention_masks)?;
+
+    assert!(
+        word2ph.len() == text.chars().count() + 2,
+        "{} {}",
+        word2ph.len(),
+        normalized_text.chars().count()
+    );
+
+    let mut phone_level_feature = vec![];
+    for (i, reps) in word2ph.iter().enumerate() {
+        let repeat_feature = {
+            let (reps_rows, reps_cols) = (*reps, 1);
+            let arr_len = bert_content.slice(s![i, ..]).len();
+
+            let mut results: Array2<f32> = Array::zeros((reps_rows as usize, arr_len * reps_cols));
+
+            for j in 0..reps_rows {
+                for k in 0..reps_cols {
+                    let mut view = results.slice_mut(s![j, k * arr_len..(k + 1) * arr_len]);
+                    view.assign(&bert_content.slice(s![i, ..]));
+                }
+            }
+            results
+        };
+        phone_level_feature.push(repeat_feature);
+    }
+    let phone_level_feature = concatenate(
+        Axis(0),
+        &phone_level_feature
+            .iter()
+            .map(|x| x.view())
+            .collect::<Vec<_>>(),
+    )?;
+    let bert_ori = phone_level_feature.t();
+    Ok((
+        bert_ori.to_owned(),
+        phones.into(),
+        tones.into(),
+        lang_ids.into(),
+    ))
+}
+
+pub fn array_to_vec(audio_array: Array3<f32>) -> Result<Vec<u8>> {
+    let spec = WavSpec {
+        channels: 1,
+        sample_rate: 44100,
+        bits_per_sample: 32,
+        sample_format: SampleFormat::Float,
+    };
+    let mut cursor = Cursor::new(Vec::new());
+    let mut writer = WavWriter::new(&mut cursor, spec)?;
+    for i in 0..audio_array.shape()[0] {
+        let output = audio_array.slice(s![i, 0, ..]).to_vec();
+        for sample in output {
+            writer.write_sample(sample)?;
+        }
+    }
+    writer.finalize()?;
+    Ok(cursor.into_inner())
+}

sbv2_wasm/Cargo.toml

@@ -0,0 +1,18 @@
+[package]
+name = "sbv2_wasm"
+version = "0.1.0"
+edition = "2021"
+
+[lib]
+crate-type = ["cdylib", "rlib"]
+
+[dependencies]
+wasm-bindgen = "0.2.93"
+sbv2_core = { path = "../sbv2_core", default-features = false, features = ["no_std"] }
+once_cell.workspace = true
+js-sys = "0.3.70"
+ndarray.workspace = true
+
+[profile.release]
+lto = true
+opt-level = "s"

sbv2_wasm/build.sh

@@ -0,0 +1,2 @@
+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

sbv2_wasm/src/lib.rs

@@ -0,0 +1,106 @@
+use once_cell::sync::Lazy;
+use sbv2_core::*;
+use wasm_bindgen::prelude::*;
+
+static JTALK: Lazy<jtalk::JTalk> = Lazy::new(|| jtalk::JTalk::new().unwrap());
+
+#[wasm_bindgen]
+pub struct TokenizerWrap {
+    tokenizer: tokenizer::Tokenizer,
+}
+
+#[wasm_bindgen]
+pub fn load_tokenizer(s: js_sys::JsString) -> Result<TokenizerWrap, JsError> {
+    if let Some(s) = s.as_string() {
+        Ok(TokenizerWrap {
+            tokenizer: tokenizer::Tokenizer::from_bytes(s.as_bytes())
+                .map_err(|e| JsError::new(&e.to_string()))?,
+        })
+    } else {
+        Err(JsError::new("invalid utf8"))
+    }
+}
+
+#[wasm_bindgen]
+pub struct StyleVectorWrap {
+    style_vector: ndarray::Array2<f32>,
+}
+
+#[wasm_bindgen]
+pub fn load_sbv2file(buf: js_sys::Uint8Array) -> Result<js_sys::Array, JsError> {
+    let mut body = vec![0; buf.length() as usize];
+    buf.copy_to(&mut body[..]);
+    let (style_vectors, vits2) = sbv2file::parse_sbv2file(body)?;
+    let buf = js_sys::Uint8Array::new_with_length(vits2.len() as u32);
+    buf.copy_from(&vits2);
+    let arr = js_sys::Array::new_with_length(2);
+    arr.set(
+        0,
+        StyleVectorWrap {
+            style_vector: style::load_style(style_vectors)?,
+        }
+        .into(),
+    );
+    arr.set(1, buf.into());
+    Ok(arr)
+}
+
+#[wasm_bindgen]
+pub fn synthesize(
+    text: &str,
+    tokenizer: &TokenizerWrap,
+    bert_predict_fn: js_sys::Function,
+    synthesize_fn: js_sys::Function,
+    sdp_ratio: f32,
+    length_scale: f32,
+    style_id: i32,
+    style_weight: f32,
+    style_vectors: &StyleVectorWrap,
+) -> Result<js_sys::Uint8Array, JsError> {
+    fn synthesize_wrap(
+        bert_ori: ndarray::Array2<f32>,
+        x_tst: ndarray::Array1<i64>,
+        tones: ndarray::Array1<i64>,
+        lang_ids: ndarray::Array1<i64>,
+        style_vector: ndarray::Array1<f32>,
+        sdp_ratio: f32,
+        length_scale: f32,
+    ) -> error::Result<ndarray::Array3<f32>> {
+        todo!()
+    }
+    let (bert_ori, phones, tones, lang_ids) = tts_util::parse_text(
+        text,
+        &JTALK,
+        &tokenizer.tokenizer,
+        |token_ids: Vec<i64>, attention_masks: Vec<i64>| {
+            let token_ids_ = js_sys::BigInt64Array::new_with_length(token_ids.len() as u32);
+            token_ids_.copy_from(&token_ids);
+            let attention_masks_ =
+                js_sys::BigInt64Array::new_with_length(attention_masks.len() as u32);
+            attention_masks_.copy_from(&attention_masks);
+            let arr = js_sys::Array::new_with_length(2);
+            arr.set(0, token_ids_.into());
+            arr.set(1, attention_masks_.into());
+            let res = bert_predict_fn
+                .apply(&js_sys::Object::new().into(), &arr)
+                .map_err(|e| {
+                    error::Error::OtherError(e.as_string().unwrap_or("unknown".to_string()))
+                })?;
+            let res: js_sys::Array = res.into();
+            Ok(todo!())
+        },
+    )?;
+    let audio = synthesize_wrap(
+        bert_ori.to_owned(),
+        phones,
+        tones,
+        lang_ids,
+        style::get_style_vector(&style_vectors.style_vector, style_id, style_weight)?,
+        sdp_ratio,
+        length_scale,
+    )?;
+    let vec = tts_util::array_to_vec(audio)?;
+    let buf = js_sys::Uint8Array::new_with_length(vec.len() as u32);
+    buf.copy_from(&vec);
+    Ok(buf)
+}