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delayed-streams-modeling
Delayed Streams Modeling (DSM) is a flexible formulation for streaming, multimodal sequence-to-sequence learning.
Speech To Text
PyTorch implementation
python -m moshi.run_inference --hf-repo kyutai/stt input.mp3
MLX implementation
python -m moshi_mlx.run_inference --hf-repo kyutai/stt-mlx ~/tmp/bria-24khz.mp3 --temp 0
License
The present code is provided under the MIT license for the Python parts, and Apache license for the Rust backend. The web client code is provided under the MIT license. Note that parts of this code is based on AudioCraft, released under the MIT license.
The weights for the models are released under the CC-BY 4.0 license.
Description
Kyutai's Speech-To-Text and Text-To-Speech models based on the Delayed Streams Modeling framework.
7.2 MiB
Languages
Python
79.3%
Jupyter Notebook
11.6%
Rust
9.1%