https://github.com/thewh1teagle/sherpa-rs

Rust bindings to https://github.com/k2-fsa/sherpa-onnx
https://github.com/thewh1teagle/sherpa-rs

audio diarization embeddings rust sherpa speech-recognition

Last synced: 17 days ago
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Rust bindings to https://github.com/k2-fsa/sherpa-onnx

• Host: GitHub
• URL: https://github.com/thewh1teagle/sherpa-rs
• Owner: thewh1teagle
• License: mit
• Created: 2024-07-05T22:01:21.000Z (4 months ago)
• Default Branch: main
• Last Pushed: 2024-10-21T16:41:48.000Z (23 days ago)
• Last Synced: 2024-10-22T19:41:28.982Z (22 days ago)
• Topics: audio, diarization, embeddings, rust, sherpa, speech-recognition
• Language: Rust
• Homepage:
• Size: 1.13 MB
• Stars: 36
• Watchers: 5
• Forks: 9
• Open Issues: 11
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# sherpa-rs

[![Crates](https://img.shields.io/crates/v/sherpa-rs?logo=rust)](https://crates.io/crates/sherpa-rs/)

[![License](https://img.shields.io/github/license/thewh1teagle/sherpa-rs?color=00aaaa&logo=license)](https://github.com/thewh1teagle/sherpa-rs/blob/main/LICENSE)

Rust bindings to [sherpa-onnx](https://github.com/k2-fsa/sherpa-onnx)

## Features

- Spoken language detection

- Speaker embedding (labeling)

- Speaker diarization

- Speech to text

- Text to speech

- Text punctuation

- Voice activity detection

- Audio tagging

- Keyword spotting

## Supported Platforms

- Windows

- Linux

- macOS

## Install

```console

cargo add sherpa-rs

```

## Build

Please see [BUILDING.md](BUILDING.md).

## Feature flags

- `cuda`: enable CUDA support

- `directml`: enable DirectML support

- `tts`: enable TTS

- `download-binaries`: use prebuilt sherpa-onnx libraries for faster builds. cached.

- `static`: use static sherpa-onnx libraries and link them statically.

- `sys`: expose raw c bindings (sys crate)

## Docs

See [sherpa/intro.html](https://k2-fsa.github.io/sherpa/intro.html)

## Examples

See [examples](examples)

## Models

All pretrained models available at [sherpa/onnx/pretrained_models](https://k2-fsa.github.io/sherpa/onnx/pretrained_models/index.html)