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enginex_bi_series-sherpa-onnx/README.md

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update README
2025-08-06 11:28:53 +08:00
## 天数智芯 天垓100 sherpa-onnx
### 编译指令
在corex:3.2.1镜像中使用以下命令
```
SHERPA_ONNX_CMAKE_ARGS='-DCMAKE_BUILD_TYPE=Release -DBUILD_SHARED_LIBS=ON -DSHERPA_ONNX_ENABLE_GPU=ON' python3 setup.py bdist_wheel
```
即可编译出适用于天垓100的sherpa-onnx whl包
### pip使用方式
```shell
pip install sherpa_onnx-1.12.5+corex3.2.1-cp310-cp310-linux_x86_64.whl
```
具体的推理过程代码与sherpa-onnx python包没有任何区别
### 天垓100的模型适配情况
我们在天垓100上针对sherpa-onnx offline asr部分进行了所有大类的适配，测试方式为在CPU和天垓100加速卡上对同一段长音频进行语音识别任务，获取运行时间，1-cer指标。运行环境为：
- CPU: Intel(R) Xeon(R) Gold 6238R CPU @ 2.20GHz 使用4线程推理
- 天垓100：在上述CPU硬件的同时下使用一张天垓100加速卡
| 模型大类 | 模型名称 |CPU运行时间(秒)|天垓100运行时间(秒)|CPU 1-cer|天垓100 1-cer| 备注 |
|------|---------------|-----|----|-------|-------|---------------------|
| sense_voice |sherpa-onnx-sense-voice-zh-en-ja-ko-yue-2024-07-17| 36.8381 | 3.1053 | 0.990017 | 0.990017 | |
| whisper | sherpa-onnx-whisper-large-v3 | 705.8439 | 204.0064 | 0.722130 | 0.732113 | 天垓100的识别准确率比CPU略高 |
| whisper | sherpa-onnx-whisper-base | 34.8192 | 22.2912 | 0.682196 | 0.682196 | |
| whisper | sherpa-onnx-whisper-small | 119.6921 | 46.7079 | 0.662230 | 0.662230 | |
| whisper | sherpa-onnx-whisper-tiny | 18.2531 | 15.2332 | 0.584027 | 0.584027 | |
| whisper | sherpa-onnx-whisper-medium-aishell | 418.8124 | 141.6660 | 0.785358 | 0.783694 | |
| dolphin_ctc | sherpa-onnx-dolphin-small-ctc-multi-lang-2025-04-02 | 17.6391 | 2.7845 | 0.923461 | 0.923461 | |
| fire_red_asr | sherpa-onnx-fire-red-asr-large-zh_en-2025-02-16 | 409.8351 | 120.9066 | 0.960067 | 0.960067 | |
| zipformer_ctc | sherpa-onnx-zipformer-ctc-zh-int8-2025-07-03 | 10.5072 | 6.9715 | 0.963394 | 0.966722 | 天垓100的识别准确率比CPU略高 |
| zipformer_ctc | sherpa-onnx-zipformer-ctc-small-zh-2025-07-16 | 4.9449 | 1.7400 | 0.958403 | 0.908486 | 天垓100在该模型与CPU相比精度有一些欠缺 |
| paraformer | sherpa-onnx-paraformer-zh-2024-03-09 | 6.4983 | 15.9283 | 0.948419 | 0.948419 | 天垓100运行速度明显慢于4线程CPU推理 |
| telespeech_ctc | sherpa-onnx-telespeech-ctc-zh-2024-06-04 | 24.0849 | 72.0935 | 0.948419 | 0.948419 | 天垓100运行速度明显慢于4线程CPU推理 |
| wenet_ctc | sherpa-onnx-zh-wenet-aishell2 | 3.9872 | 3.7492 | 0.813644 | 0.813644 | |
| transducer | sherpa-onnx-zipformer-multi-zh-hans-2023-9-2 | 6.4223 | 2.6784 | 0.920133 | 0.765391 | 天垓100在该模型与CPU相比精度有较大损失 |
| nemo_ctc | sherpa-onnx-nemo-parakeet_tdt_ctc_110m-en-36000 | N/A | N/A | N/A | N/A | 无法适配 |
| nemo_canary | sherpa-onnx-nemo-canary-180m-flash-en-es-de-fr | N/A | N/A | N/A | N/A | 无法适配 |
| moonshine | sherpa-onnx-moonshine-base-en-int8 | N/A | N/A | N/A | N/A | 无法适配 |
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### Supported functions
Support extra languages in multi-lang kokoro tts (#2303)
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|Speech recognition| [Speech synthesis][tts-url] | [Source separation][ss-url] |
Add C++ support for UVR models (#2269)
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|------------------|------------------|-------------------|
| ✔️ | ✔️ | ✔️ |
C API for speaker diarization (#1402)
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|Speaker identification| [Speaker diarization][sd-url] | Speaker verification |
C API for speaker diarization (#1402)
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|----------------------|-------------------- |------------------------|
| ✔️ | ✔️ | ✔️ |
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| [Spoken Language identification][slid-url] | [Audio tagging][at-url] | [Voice activity detection][vad-url] |
Add Dart API for audio tagging (#1181)
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|--------------------------------|---------------|--------------------------|
| ✔️ | ✔️ | ✔️ |
Support extra languages in multi-lang kokoro tts (#2303)
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| [Keyword spotting][kws-url] | [Add punctuation][punct-url] | [Speech enhancement][se-url] |
Add C++ runtime for speech enhancement GTCRN models (#1977) See also https://github.com/Xiaobin-Rong/gtcrn
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|------------------|-----------------|--------------------|
| ✔️ | ✔️ | ✔️ |
Update README (#1004)
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Add C++ support for UVR models (#2269)
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Update README (#1004)
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### Supported platforms
Publish `sherpa_onnx.har` for HarmonyOS (#1572)
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|Architecture| Android | iOS | Windows | macOS | linux | HarmonyOS |
|------------|---------|---------|------------|-------|-------|-----------|
| x64 | ✔️ | | ✔️ | ✔️ | ✔️ | ✔️ |
| x86 | ✔️ | | ✔️ | | | |
| arm64 | ✔️ | ✔️ | ✔️ | ✔️ | ✔️ | ✔️ |
| arm32 | ✔️ | | | | ✔️ | ✔️ |
| riscv64 | | | | | ✔️ | |
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### Supported programming languages
Build generating subtitles APPs for more models (#1265)
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| 1. C++ | 2. C | 3. Python | 4. JavaScript |
|--------|-------|-----------|---------------|
| ✔️ | ✔️ | ✔️ | ✔️ |
Update README to include Rust. (#1212)
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Build generating subtitles APPs for more models (#1265)
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|5. Java | 6. C# | 7. Kotlin | 8. Swift |
|--------|-------|-----------|----------|
| ✔️ | ✔️ | ✔️ | ✔️ |
Pascal API for non-streaming ASR (#1247)
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Build generating subtitles APPs for more models (#1265)
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| 9. Go | 10. Dart | 11. Rust | 12. Pascal |
|-------|----------|----------|------------|
| ✔️ | ✔️ | ✔️ | ✔️ |
Update README to include Rust. (#1212)
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WebAssembly example for VAD + Non-streaming ASR (#1284)
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For Rust support, please see [sherpa-rs][sherpa-rs]
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It also supports WebAssembly.
## Introduction
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This repository supports running the following functions **locally**
Release v1.0 (#18) * Release v1.0 * Add link to doc
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- Speech-to-text (i.e., ASR); both streaming and non-streaming are supported
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- Text-to-speech (i.e., TTS)
C API for speaker diarization (#1402)
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- Speaker diarization
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- Speaker identification
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- Speaker verification
- Spoken language identification
- Audio tagging
WebAssembly example for VAD + Non-streaming ASR (#1284)
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- VAD (e.g., [silero-vad][silero-vad])
Add C++ support for UVR models (#2269)
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- Speech enhancement (e.g., [gtcrn][gtcrn])
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- Keyword spotting
Add C++ support for UVR models (#2269)
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- Source separation (e.g., [spleeter][spleeter], [UVR][UVR])
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on the following platforms and operating systems:
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- x86, ``x86_64``, 32-bit ARM, 64-bit ARM (arm64, aarch64), RISC-V (riscv64), **RK NPU**
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- Linux, macOS, Windows, openKylin
- Android, WearOS
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- iOS
Publish `sherpa_onnx.har` for HarmonyOS (#1572)
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- HarmonyOS
Add C++ microphone examples for audio tagging (#749)
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- NodeJS
- WebAssembly
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- [NVIDIA Jetson Orin NX][NVIDIA Jetson Orin NX] (Support running on both CPU and GPU)
- [NVIDIA Jetson Nano B01][NVIDIA Jetson Nano B01] (Support running on both CPU and GPU)
WebAssembly example for VAD + Non-streaming ASR (#1284)
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- [Raspberry Pi][Raspberry Pi]
- [RV1126][RV1126]
- [LicheePi4A][LicheePi4A]
- [VisionFive 2][VisionFive 2]
- [旭日X3派][旭日X3派]
- [爱芯派][爱芯派]
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- [RK3588][RK3588]
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- etc
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with the following APIs
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- C++, C, Python, Go, ``C#``
- Java, Kotlin, JavaScript
Build generating subtitles APPs for more models (#1265)
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- Swift, Rust
- Dart, Object Pascal
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### Links for Huggingface Spaces
Android demo for speaker diarization (#1423)
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<details>
<summary>You can visit the following Huggingface spaces to try sherpa-onnx without
installing anything. All you need is a browser.</summary>
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| Description | URL | 中国镜像 |
|-------------------------------------------------------|-----------------------------------------|----------------------------------------|
| Speaker diarization | [Click me][hf-space-speaker-diarization]| [镜像][hf-space-speaker-diarization-cn]|
| Speech recognition | [Click me][hf-space-asr] | [镜像][hf-space-asr-cn] |
| Speech recognition with [Whisper][Whisper] | [Click me][hf-space-asr-whisper] | [镜像][hf-space-asr-whisper-cn] |
| Speech synthesis | [Click me][hf-space-tts] | [镜像][hf-space-tts-cn] |
| Generate subtitles | [Click me][hf-space-subtitle] | [镜像][hf-space-subtitle-cn] |
| Audio tagging | [Click me][hf-space-audio-tagging] | [镜像][hf-space-audio-tagging-cn] |
| Source separation | [Click me][hf-space-source-separation] | [镜像][hf-space-source-separation-cn] |
| Spoken language identification with [Whisper][Whisper]| [Click me][hf-space-slid-whisper] | [镜像][hf-space-slid-whisper-cn] |
Add WebAssembly for VAD (#1281)
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Fix typos (#1330)
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We also have spaces built using WebAssembly. They are listed below:
Add WebAssembly for VAD (#1281)
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WebAssembly example for VAD + Non-streaming ASR (#1284)
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| Description | Huggingface space| ModelScope space|
|------------------------------------------------------------------------------------------|------------------|-----------------|
|Voice activity detection with [silero-vad][silero-vad] | [Click me][wasm-hf-vad]|[地址][wasm-ms-vad]|
|Real-time speech recognition (Chinese + English) with Zipformer | [Click me][wasm-hf-streaming-asr-zh-en-zipformer]|[地址][wasm-hf-streaming-asr-zh-en-zipformer]|
|Real-time speech recognition (Chinese + English) with Paraformer |[Click me][wasm-hf-streaming-asr-zh-en-paraformer]| [地址][wasm-ms-streaming-asr-zh-en-paraformer]|
|Real-time speech recognition (Chinese + English + Cantonese) with [Paraformer-large][Paraformer-large]|[Click me][wasm-hf-streaming-asr-zh-en-yue-paraformer]| [地址][wasm-ms-streaming-asr-zh-en-yue-paraformer]|
|Real-time speech recognition (English) |[Click me][wasm-hf-streaming-asr-en-zipformer] |[地址][wasm-ms-streaming-asr-en-zipformer]|
Support non-streaming zipformer CTC ASR models (#2340) This PR adds support for non-streaming Zipformer CTC ASR models across multiple language bindings, WebAssembly, examples, and CI workflows. - Introduces a new OfflineZipformerCtcModelConfig in C/C++, Python, Swift, Java, Kotlin, Go, Dart, Pascal, and C# APIs - Updates initialization, freeing, and recognition logic to include Zipformer CTC in WASM and Node.js - Adds example scripts and CI steps for downloading, building, and running Zipformer CTC models Model doc is available at https://k2-fsa.github.io/sherpa/onnx/pretrained_models/offline-ctc/icefall/zipformer.html
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|VAD + speech recognition (Chinese) with [Zipformer CTC](https://k2-fsa.github.io/sherpa/onnx/pretrained_models/offline-ctc/icefall/zipformer.html#sherpa-onnx-zipformer-ctc-zh-int8-2025-07-03-chinese)|[Click me][wasm-hf-vad-asr-zh-zipformer-ctc-07-03]| [地址][wasm-ms-vad-asr-zh-zipformer-ctc-07-03]|
WebAssembly example for VAD + Non-streaming ASR (#1284)
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|VAD + speech recognition (Chinese + English + Korean + Japanese + Cantonese) with [SenseVoice][SenseVoice]|[Click me][wasm-hf-vad-asr-zh-en-ko-ja-yue-sense-voice]| [地址][wasm-ms-vad-asr-zh-en-ko-ja-yue-sense-voice]|
|VAD + speech recognition (English) with [Whisper][Whisper] tiny.en|[Click me][wasm-hf-vad-asr-en-whisper-tiny-en]| [地址][wasm-ms-vad-asr-en-whisper-tiny-en]|
Add WebAssembly example for VAD + Moonshine models. (#1535)
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|VAD + speech recognition (English) with [Moonshine tiny][Moonshine tiny]|[Click me][wasm-hf-vad-asr-en-moonshine-tiny-en]| [地址][wasm-ms-vad-asr-en-moonshine-tiny-en]|
WebAssembly example for VAD + Non-streaming ASR (#1284)
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|VAD + speech recognition (English) with Zipformer trained with [GigaSpeech][GigaSpeech] |[Click me][wasm-hf-vad-asr-en-zipformer-gigaspeech]| [地址][wasm-ms-vad-asr-en-zipformer-gigaspeech]|
|VAD + speech recognition (Chinese) with Zipformer trained with [WenetSpeech][WenetSpeech] |[Click me][wasm-hf-vad-asr-zh-zipformer-wenetspeech]| [地址][wasm-ms-vad-asr-zh-zipformer-wenetspeech]|
|VAD + speech recognition (Japanese) with Zipformer trained with [ReazonSpeech][ReazonSpeech]|[Click me][wasm-hf-vad-asr-ja-zipformer-reazonspeech]| [地址][wasm-ms-vad-asr-ja-zipformer-reazonspeech]|
|VAD + speech recognition (Thai) with Zipformer trained with [GigaSpeech2][GigaSpeech2] |[Click me][wasm-hf-vad-asr-th-zipformer-gigaspeech2]| [地址][wasm-ms-vad-asr-th-zipformer-gigaspeech2]|
|VAD + speech recognition (Chinese 多种方言) with a [TeleSpeech-ASR][TeleSpeech-ASR] CTC model|[Click me][wasm-hf-vad-asr-zh-telespeech]| [地址][wasm-ms-vad-asr-zh-telespeech]|
|VAD + speech recognition (English + Chinese, 及多种中文方言) with Paraformer-large |[Click me][wasm-hf-vad-asr-zh-en-paraformer-large]| [地址][wasm-ms-vad-asr-zh-en-paraformer-large]|
|VAD + speech recognition (English + Chinese, 及多种中文方言) with Paraformer-small |[Click me][wasm-hf-vad-asr-zh-en-paraformer-small]| [地址][wasm-ms-vad-asr-zh-en-paraformer-small]|
Add Javascript (WebAssembly) API for Dolphin CTC models (#2093)
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|VAD + speech recognition (多语种及多种中文方言) with [Dolphin][Dolphin]-base |[Click me][wasm-hf-vad-asr-multi-lang-dolphin-base]| [地址][wasm-ms-vad-asr-multi-lang-dolphin-base]|
WebAssembly example for VAD + Non-streaming ASR (#1284)
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|Speech synthesis (English) |[Click me][wasm-hf-tts-piper-en]| [地址][wasm-ms-tts-piper-en]|
|Speech synthesis (German) |[Click me][wasm-hf-tts-piper-de]| [地址][wasm-ms-tts-piper-de]|
WebAssembly exmaple for speaker diarization (#1411)
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|Speaker diarization |[Click me][wasm-hf-speaker-diarization]|[地址][wasm-ms-speaker-diarization]|
Add WebAssembly for VAD (#1281)
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Android demo for speaker diarization (#1423)
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</details>
Update README (#1004)
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### Links for pre-built Android APKs
Add links to pre-built APKs and pre-trained models to README. (#840)
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Android demo for speaker diarization (#1423)
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<details>
<summary>You can find pre-built Android APKs for this repository in the following table</summary>
| Description | URL | 中国用户 |
|----------------------------------------|------------------------------------|-----------------------------------|
| Speaker diarization | [Address][apk-speaker-diarization] | [点此][apk-speaker-diarization-cn]|
| Streaming speech recognition | [Address][apk-streaming-asr] | [点此][apk-streaming-asr-cn] |
Support non-streaming zipformer CTC ASR models (#2340) This PR adds support for non-streaming Zipformer CTC ASR models across multiple language bindings, WebAssembly, examples, and CI workflows. - Introduces a new OfflineZipformerCtcModelConfig in C/C++, Python, Swift, Java, Kotlin, Go, Dart, Pascal, and C# APIs - Updates initialization, freeing, and recognition logic to include Zipformer CTC in WASM and Node.js - Adds example scripts and CI steps for downloading, building, and running Zipformer CTC models Model doc is available at https://k2-fsa.github.io/sherpa/onnx/pretrained_models/offline-ctc/icefall/zipformer.html
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| Simulated-streaming speech recognition | [Address][apk-simula-streaming-asr]| [点此][apk-simula-streaming-asr-cn]|
Android demo for speaker diarization (#1423)
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| Text-to-speech | [Address][apk-tts] | [点此][apk-tts-cn] |
| Voice activity detection (VAD) | [Address][apk-vad] | [点此][apk-vad-cn] |
| VAD + non-streaming speech recognition | [Address][apk-vad-asr] | [点此][apk-vad-asr-cn] |
| Two-pass speech recognition | [Address][apk-2pass] | [点此][apk-2pass-cn] |
| Audio tagging | [Address][apk-at] | [点此][apk-at-cn] |
| Audio tagging (WearOS) | [Address][apk-at-wearos] | [点此][apk-at-wearos-cn] |
| Speaker identification | [Address][apk-sid] | [点此][apk-sid-cn] |
| Spoken language identification | [Address][apk-slid] | [点此][apk-slid-cn] |
| Keyword spotting | [Address][apk-kws] | [点此][apk-kws-cn] |
</details>
Add links to pre-built APKs and pre-trained models to README. (#840)
2024-05-07 12:28:42 +08:00
Update READEM to include links to pre-built flutter APPs (#1043)
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### Links for pre-built Flutter APPs
Android demo for speaker diarization (#1423)
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<details>
Fix Flutter TTS example for iOS (#1090)
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#### Real-time speech recognition
WebAssembly example for VAD + Non-streaming ASR (#1284)
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| Description | URL | 中国用户 |
|--------------------------------|-------------------------------------|-------------------------------------|
| Streaming speech recognition | [Address][apk-flutter-streaming-asr]| [点此][apk-flutter-streaming-asr-cn]|
Fix Flutter TTS example for iOS (#1090)
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#### Text-to-speech
WebAssembly example for VAD + Non-streaming ASR (#1284)
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| Description | URL | 中国用户 |
|------------------------------------------|------------------------------------|------------------------------------|
| Android (arm64-v8a, armeabi-v7a, x86_64) | [Address][flutter-tts-android] | [点此][flutter-tts-android-cn] |
| Linux (x64) | [Address][flutter-tts-linux] | [点此][flutter-tts-linux-cn] |
| macOS (x64) | [Address][flutter-tts-macos-x64] | [点此][flutter-tts-macos-arm64-cn] |
| macOS (arm64) | [Address][flutter-tts-macos-arm64] | [点此][flutter-tts-macos-x64-cn] |
| Windows (x64) | [Address][flutter-tts-win-x64] | [点此][flutter-tts-win-x64-cn] |
Fix Flutter TTS example for iOS (#1090)
2024-07-08 15:22:09 +08:00
> Note: You need to build from source for iOS.
Update READEM to include links to pre-built flutter APPs (#1043)
2024-06-23 14:31:56 +08:00
Android demo for speaker diarization (#1423)
2024-10-13 14:02:57 +08:00
</details>
Build generating subtitles APPs for more models (#1265)
2024-08-16 20:11:24 +08:00
### Links for pre-built Lazarus APPs
Android demo for speaker diarization (#1423)
2024-10-13 14:02:57 +08:00
<details>
Build generating subtitles APPs for more models (#1265)
2024-08-16 20:11:24 +08:00
#### Generating subtitles
WebAssembly example for VAD + Non-streaming ASR (#1284)
2024-08-24 13:24:52 +08:00
| Description | URL | 中国用户 |
|--------------------------------|----------------------------|----------------------------|
| Generate subtitles (生成字幕) | [Address][lazarus-subtitle]| [点此][lazarus-subtitle-cn]|
Build generating subtitles APPs for more models (#1265)
2024-08-16 20:11:24 +08:00
Android demo for speaker diarization (#1423)
2024-10-13 14:02:57 +08:00
</details>
Build generating subtitles APPs for more models (#1265)
2024-08-16 20:11:24 +08:00
Update README (#1004)
2024-06-14 13:06:52 +08:00
### Links for pre-trained models
Add links to pre-built APKs and pre-trained models to README. (#840)
2024-05-07 12:28:42 +08:00
Android demo for speaker diarization (#1423)
2024-10-13 14:02:57 +08:00
<details>
WebAssembly example for VAD + Non-streaming ASR (#1284)
2024-08-24 13:24:52 +08:00
| Description | URL |
|---------------------------------------------|---------------------------------------------------------------------------------------|
| Speech recognition (speech to text, ASR) | [Address][asr-models] |
| Text-to-speech (TTS) | [Address][tts-models] |
| VAD | [Address][vad-models] |
| Keyword spotting | [Address][kws-models] |
| Audio tagging | [Address][at-models] |
| Speaker identification (Speaker ID) | [Address][sid-models] |
| Spoken language identification (Language ID)| See multi-lingual [Whisper][Whisper] ASR models from [Speech recognition][asr-models]|
| Punctuation | [Address][punct-models] |
WebAssembly exmaple for speaker diarization (#1411)
2024-10-10 22:14:45 +08:00
| Speaker segmentation | [Address][speaker-segmentation-models] |
Add C++ runtime for speech enhancement GTCRN models (#1977) See also https://github.com/Xiaobin-Rong/gtcrn
2025-03-10 18:11:16 +08:00
| Speech enhancement | [Address][speech-enhancement-models] |
Add C++ support for UVR models (#2269)
2025-06-01 17:22:08 +08:00
| Source separation | [Address][source-separation-models] |
Add links to pre-built APKs and pre-trained models to README. (#840)
2024-05-07 12:28:42 +08:00
Android demo for speaker diarization (#1423)
2024-10-13 14:02:57 +08:00
</details>
Add some commonly used models to README.md (#1486)
2024-10-28 12:49:47 +08:00
#### Some pre-trained ASR models (Streaming)
<details>
Please see
- <https://k2-fsa.github.io/sherpa/onnx/pretrained_models/online-transducer/index.html>
- <https://k2-fsa.github.io/sherpa/onnx/pretrained_models/online-paraformer/index.html>
- <https://k2-fsa.github.io/sherpa/onnx/pretrained_models/online-ctc/index.html>
for more models. The following table lists only **SOME** of them.
|Name | Supported Languages| Description|
|-----|-----|----|
|[sherpa-onnx-streaming-zipformer-bilingual-zh-en-2023-02-20][sherpa-onnx-streaming-zipformer-bilingual-zh-en-2023-02-20]| Chinese, English| See [also](https://k2-fsa.github.io/sherpa/onnx/pretrained_models/online-transducer/zipformer-transducer-models.html#csukuangfj-sherpa-onnx-streaming-zipformer-bilingual-zh-en-2023-02-20-bilingual-chinese-english)|
|[sherpa-onnx-streaming-zipformer-small-bilingual-zh-en-2023-02-16][sherpa-onnx-streaming-zipformer-small-bilingual-zh-en-2023-02-16]| Chinese, English| See [also](https://k2-fsa.github.io/sherpa/onnx/pretrained_models/online-transducer/zipformer-transducer-models.html#sherpa-onnx-streaming-zipformer-small-bilingual-zh-en-2023-02-16-bilingual-chinese-english)|
|[sherpa-onnx-streaming-zipformer-zh-14M-2023-02-23][sherpa-onnx-streaming-zipformer-zh-14M-2023-02-23]|Chinese| Suitable for Cortex A7 CPU. See [also](https://k2-fsa.github.io/sherpa/onnx/pretrained_models/online-transducer/zipformer-transducer-models.html#sherpa-onnx-streaming-zipformer-zh-14m-2023-02-23)|
|[sherpa-onnx-streaming-zipformer-en-20M-2023-02-17][sherpa-onnx-streaming-zipformer-en-20M-2023-02-17]|English|Suitable for Cortex A7 CPU. See [also](https://k2-fsa.github.io/sherpa/onnx/pretrained_models/online-transducer/zipformer-transducer-models.html#sherpa-onnx-streaming-zipformer-en-20m-2023-02-17)|
|[sherpa-onnx-streaming-zipformer-korean-2024-06-16][sherpa-onnx-streaming-zipformer-korean-2024-06-16]|Korean| See [also](https://k2-fsa.github.io/sherpa/onnx/pretrained_models/online-transducer/zipformer-transducer-models.html#sherpa-onnx-streaming-zipformer-korean-2024-06-16-korean)|
|[sherpa-onnx-streaming-zipformer-fr-2023-04-14][sherpa-onnx-streaming-zipformer-fr-2023-04-14]|French| See [also](https://k2-fsa.github.io/sherpa/onnx/pretrained_models/online-transducer/zipformer-transducer-models.html#shaojieli-sherpa-onnx-streaming-zipformer-fr-2023-04-14-french)|
</details>
#### Some pre-trained ASR models (Non-Streaming)
<details>
Please see
- <https://k2-fsa.github.io/sherpa/onnx/pretrained_models/offline-transducer/index.html>
- <https://k2-fsa.github.io/sherpa/onnx/pretrained_models/offline-paraformer/index.html>
- <https://k2-fsa.github.io/sherpa/onnx/pretrained_models/offline-ctc/index.html>
- <https://k2-fsa.github.io/sherpa/onnx/pretrained_models/telespeech/index.html>
- <https://k2-fsa.github.io/sherpa/onnx/pretrained_models/whisper/index.html>
for more models. The following table lists only **SOME** of them.
|Name | Supported Languages| Description|
|-----|-----|----|
Support non-streaming zipformer CTC ASR models (#2340) This PR adds support for non-streaming Zipformer CTC ASR models across multiple language bindings, WebAssembly, examples, and CI workflows. - Introduces a new OfflineZipformerCtcModelConfig in C/C++, Python, Swift, Java, Kotlin, Go, Dart, Pascal, and C# APIs - Updates initialization, freeing, and recognition logic to include Zipformer CTC in WASM and Node.js - Adds example scripts and CI steps for downloading, building, and running Zipformer CTC models Model doc is available at https://k2-fsa.github.io/sherpa/onnx/pretrained_models/offline-ctc/icefall/zipformer.html
2025-07-04 15:57:07 +08:00
|[sherpa-onnx-nemo-parakeet-tdt-0.6b-v2-int8](https://k2-fsa.github.io/sherpa/onnx/pretrained_models/offline-transducer/nemo-transducer-models.html#sherpa-onnx-nemo-parakeet-tdt-0-6b-v2-int8-english)| English | It is converted from <https://huggingface.co/nvidia/parakeet-tdt-0.6b-v2>|
Add some commonly used models to README.md (#1486)
2024-10-28 12:49:47 +08:00
|[Whisper tiny.en](https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-whisper-tiny.en.tar.bz2)|English| See [also](https://k2-fsa.github.io/sherpa/onnx/pretrained_models/whisper/tiny.en.html)|
Add WebAssembly example for VAD + Moonshine models. (#1535)
2024-11-13 21:06:50 +08:00
|[Moonshine tiny][Moonshine tiny]|English|See [also](https://github.com/usefulsensors/moonshine)|
Support non-streaming zipformer CTC ASR models (#2340) This PR adds support for non-streaming Zipformer CTC ASR models across multiple language bindings, WebAssembly, examples, and CI workflows. - Introduces a new OfflineZipformerCtcModelConfig in C/C++, Python, Swift, Java, Kotlin, Go, Dart, Pascal, and C# APIs - Updates initialization, freeing, and recognition logic to include Zipformer CTC in WASM and Node.js - Adds example scripts and CI steps for downloading, building, and running Zipformer CTC models Model doc is available at https://k2-fsa.github.io/sherpa/onnx/pretrained_models/offline-ctc/icefall/zipformer.html
2025-07-04 15:57:07 +08:00
|[sherpa-onnx-zipformer-ctc-zh-int8-2025-07-03](https://k2-fsa.github.io/sherpa/onnx/pretrained_models/offline-ctc/icefall/zipformer.html#sherpa-onnx-zipformer-ctc-zh-int8-2025-07-03-chinese)|Chinese| A Zipformer CTC model|
Add some commonly used models to README.md (#1486)
2024-10-28 12:49:47 +08:00
|[sherpa-onnx-sense-voice-zh-en-ja-ko-yue-2024-07-17][sherpa-onnx-sense-voice-zh-en-ja-ko-yue-2024-07-17]|Chinese, Cantonese, English, Korean, Japanese| 支持多种中文方言. See [also](https://k2-fsa.github.io/sherpa/onnx/sense-voice/index.html)|
|[sherpa-onnx-paraformer-zh-2024-03-09][sherpa-onnx-paraformer-zh-2024-03-09]|Chinese, English| 也支持多种中文方言. See [also](https://k2-fsa.github.io/sherpa/onnx/pretrained_models/offline-paraformer/paraformer-models.html#csukuangfj-sherpa-onnx-paraformer-zh-2024-03-09-chinese-english)|
|[sherpa-onnx-zipformer-ja-reazonspeech-2024-08-01][sherpa-onnx-zipformer-ja-reazonspeech-2024-08-01]|Japanese|See [also](https://k2-fsa.github.io/sherpa/onnx/pretrained_models/offline-transducer/zipformer-transducer-models.html#sherpa-onnx-zipformer-ja-reazonspeech-2024-08-01-japanese)|
|[sherpa-onnx-nemo-transducer-giga-am-russian-2024-10-24][sherpa-onnx-nemo-transducer-giga-am-russian-2024-10-24]|Russian|See [also](https://k2-fsa.github.io/sherpa/onnx/pretrained_models/offline-transducer/nemo-transducer-models.html#sherpa-onnx-nemo-transducer-giga-am-russian-2024-10-24-russian)|
|[sherpa-onnx-nemo-ctc-giga-am-russian-2024-10-24][sherpa-onnx-nemo-ctc-giga-am-russian-2024-10-24]|Russian| See [also](https://k2-fsa.github.io/sherpa/onnx/pretrained_models/offline-ctc/nemo/russian.html#sherpa-onnx-nemo-ctc-giga-am-russian-2024-10-24)|
|[sherpa-onnx-zipformer-ru-2024-09-18][sherpa-onnx-zipformer-ru-2024-09-18]|Russian|See [also](https://k2-fsa.github.io/sherpa/onnx/pretrained_models/offline-transducer/zipformer-transducer-models.html#sherpa-onnx-zipformer-ru-2024-09-18-russian)|
|[sherpa-onnx-zipformer-korean-2024-06-24][sherpa-onnx-zipformer-korean-2024-06-24]|Korean|See [also](https://k2-fsa.github.io/sherpa/onnx/pretrained_models/offline-transducer/zipformer-transducer-models.html#sherpa-onnx-zipformer-korean-2024-06-24-korean)|
|[sherpa-onnx-zipformer-thai-2024-06-20][sherpa-onnx-zipformer-thai-2024-06-20]|Thai| See [also](https://k2-fsa.github.io/sherpa/onnx/pretrained_models/offline-transducer/zipformer-transducer-models.html#sherpa-onnx-zipformer-thai-2024-06-20-thai)|
|[sherpa-onnx-telespeech-ctc-int8-zh-2024-06-04][sherpa-onnx-telespeech-ctc-int8-zh-2024-06-04]|Chinese| 支持多种方言. See [also](https://k2-fsa.github.io/sherpa/onnx/pretrained_models/telespeech/models.html#sherpa-onnx-telespeech-ctc-int8-zh-2024-06-04)|
</details>
Update README (#1004)
2024-06-14 13:06:52 +08:00
### Useful links
Update README (#572)
2024-02-03 09:20:08 +08:00
- Documentation: https://k2-fsa.github.io/sherpa/onnx/
Add C++ microphone examples for audio tagging (#749)
2024-04-10 21:00:35 +08:00
- Bilibili 演示视频: https://search.bilibili.com/all?keyword=%E6%96%B0%E4%B8%80%E4%BB%A3Kaldi
Update README (#572)
2024-02-03 09:20:08 +08:00
Update README (#1004)
2024-06-14 13:06:52 +08:00
### How to reach us
Update README (#572)
2024-02-03 09:20:08 +08:00
Please see
https://k2-fsa.github.io/sherpa/social-groups.html
for 新一代 Kaldi **微信交流群** and **QQ 交流群**.
WebAssembly example for VAD + Non-streaming ASR (#1284)
2024-08-24 13:24:52 +08:00
Add links to projects using sherpa-onnx. (#1345)
2024-09-13 19:17:08 +08:00
## Projects using sherpa-onnx
Update readme to include BreezeApp from MediaTek Research. (#2313) See also https://github.com/mtkresearch/BreezeApp
2025-06-24 18:05:50 +08:00
### [BreezeApp](https://github.com/mtkresearch/BreezeApp) from [MediaTek Research](https://github.com/mtkresearch)
> BreezeAPP is a mobile AI application developed for both Android and iOS platforms.
> Users can download it directly from the App Store and enjoy a variety of features
> offline, including speech-to-text, text-to-speech, text-based chatbot interactions,
> and image question-answering
- [Download APK for BreezeAPP](https://huggingface.co/MediaTek-Research/BreezeApp/resolve/main/BreezeApp.apk)
- [APK 中国镜像](https://hf-mirror.com/MediaTek-Research/BreezeApp/blob/main/BreezeApp.apk)
| 1 | 2 | 3 |
|---|---|---|
|![](https://github.com/user-attachments/assets/1cdbc057-b893-4de6-9e9c-f1d7dfd1d992)|![](https://github.com/user-attachments/assets/d77cd98e-b057-442f-860d-d5befd5c769b)|![](https://github.com/user-attachments/assets/57e546bf-3d39-45b9-b392-b48ca4fb3c58)|
Update readme to include Open-LLM-VTuber (#1622)
2024-12-16 10:47:07 +08:00
### [Open-LLM-VTuber](https://github.com/t41372/Open-LLM-VTuber)
Talk to any LLM with hands-free voice interaction, voice interruption, and Live2D taking
face running locally across platforms
See also <https://github.com/t41372/Open-LLM-VTuber/pull/50>
Add links to projects using sherpa-onnx. (#1345)
2024-09-13 19:17:08 +08:00
### [voiceapi](https://github.com/ruzhila/voiceapi)
<details>
<summary>Streaming ASR and TTS based on FastAPI</summary>
It shows how to use the ASR and TTS Python APIs with FastAPI.
</details>
Update readme to include more external projects using sherpa-onnx (#1405)
2024-10-10 10:27:14 +08:00
### [腾讯会议摸鱼工具 TMSpeech](https://github.com/jxlpzqc/TMSpeech)
Add links to projects using sherpa-onnx. (#1345)
2024-09-13 19:17:08 +08:00
Uses streaming ASR in C# with graphical user interface.
Update readme to include more external projects using sherpa-onnx (#1405)
2024-10-10 10:27:14 +08:00
Video demo in Chinese: [【开源】Windows实时字幕软件（网课/开会必备）](https://www.bilibili.com/video/BV1rX4y1p7Nx)
### [lol互动助手](https://github.com/l1veIn/lol-wom-electron)
It uses the JavaScript API of sherpa-onnx along with [Electron](https://electronjs.org/)
Video demo in Chinese: [爆了！炫神教你开打字挂！真正影响胜率的英雄联盟工具！英雄联盟的最后一块拼图！和游戏中的每个人无障碍沟通！](https://www.bilibili.com/video/BV142tje9E74)
Update readme to include https://github.com/hfyydd/sherpa-onnx-server (#1741)
2025-01-20 17:28:07 +08:00
### [Sherpa-ONNX 语音识别服务器](https://github.com/hfyydd/sherpa-onnx-server)
A server based on nodejs providing Restful API for speech recognition.
Update README to include https://github.com/xinhecuican/QSmartAssistant (#1755)
2025-01-23 10:48:47 +08:00
### [QSmartAssistant](https://github.com/xinhecuican/QSmartAssistant)
一个模块化，全过程可离线，低占用率的对话机器人/智能音箱
It uses QT. Both [ASR](https://github.com/xinhecuican/QSmartAssistant/blob/master/doc/%E5%AE%89%E8%A3%85.md#asr)
and [TTS](https://github.com/xinhecuican/QSmartAssistant/blob/master/doc/%E5%AE%89%E8%A3%85.md#tts)
are used.
Update README to include projects that is using sherpa-onnx (#1956)
2025-03-04 14:45:07 +08:00
### [Flutter-EasySpeechRecognition](https://github.com/Jason-chen-coder/Flutter-EasySpeechRecognition)
It extends [./flutter-examples/streaming_asr](./flutter-examples/streaming_asr) by
downloading models inside the app to reduce the size of the app.
Update README to include more projects using sherpa-onnx (#2022)
2025-03-19 12:11:11 +08:00
Note: [[Team B] Sherpa AI backend](https://github.com/umgc/spring2025/pull/82) also uses
sherpa-onnx in a Flutter APP.
Update README to include projects that is using sherpa-onnx (#1956)
2025-03-04 14:45:07 +08:00
### [sherpa-onnx-unity](https://github.com/xue-fei/sherpa-onnx-unity)
sherpa-onnx in Unity. See also [#1695](https://github.com/k2-fsa/sherpa-onnx/issues/1695),
[#1892](https://github.com/k2-fsa/sherpa-onnx/issues/1892), and [#1859](https://github.com/k2-fsa/sherpa-onnx/issues/1859)
Update README to include more projects using sherpa-onnx (#2022)
2025-03-19 12:11:11 +08:00
### [xiaozhi-esp32-server](https://github.com/xinnan-tech/xiaozhi-esp32-server)
本项目为xiaozhi-esp32提供后端服务，帮助您快速搭建ESP32设备控制服务器
Backend service for xiaozhi-esp32, helps you quickly build an ESP32 device control server.
See also
- [ASR新增轻量级sherpa-onnx-asr](https://github.com/xinnan-tech/xiaozhi-esp32-server/issues/315)
- [feat: ASR增加sherpa-onnx模型](https://github.com/xinnan-tech/xiaozhi-esp32-server/pull/379)
### [KaithemAutomation](https://github.com/EternityForest/KaithemAutomation)
Pure Python, GUI-focused home automation/consumer grade SCADA.
It uses TTS from sherpa-onnx. See also [✨ Speak command that uses the new globally configured TTS model.](https://github.com/EternityForest/KaithemAutomation/commit/8e64d2b138725e426532f7d66bb69dd0b4f53693)
docs: add Open-XiaoAI KWS project (#2198)
2025-05-10 14:03:56 +08:00
### [Open-XiaoAI KWS](https://github.com/idootop/open-xiaoai-kws)
Enable custom wake word for XiaoAi Speakers. 让小爱音箱支持自定义唤醒词。
Video demo in Chinese: [小爱同学启动～˶╹ꇴ╹˶！](https://www.bilibili.com/video/BV1YfVUz5EMj)
Update readme to include https://github.com/mawwalker/stt-server (#2350)
2025-07-07 00:02:09 +08:00
### [C++ WebSocket ASR Server](https://github.com/mawwalker/stt-server)
Update README to include https://github.com/bbeyondllove/asr_server (#2353)
2025-07-07 10:17:20 +08:00
It provides a WebSocket server based on C++ for ASR using sherpa-onnx.
### [Go WebSocket Server](https://github.com/bbeyondllove/asr_server)
It provides a WebSocket server based on the Go programming language for sherpa-onnx.
Update readme to include https://github.com/mawwalker/stt-server (#2350)
2025-07-07 00:02:09 +08:00
Add a link to YouTube video including sherpa-onnx. (#2202)
2025-05-12 12:09:46 +08:00
### [Making robot Paimon, Ep10 "The AI Part 1"](https://www.youtube.com/watch?v=KxPKkwxGWZs)
It is a [YouTube video](https://www.youtube.com/watch?v=KxPKkwxGWZs),
showing how the author tried to use AI so he can have a conversation with Paimon.
It uses sherpa-onnx for speech-to-text and text-to-speech.
Update readme to include BreezeApp from MediaTek Research. (#2313) See also https://github.com/mtkresearch/BreezeApp
2025-06-24 18:05:50 +08:00
|1|
|---|
|![](https://github.com/user-attachments/assets/f6eea2d5-1807-42cb-9160-be8da2971e1f)|
Add a link to YouTube video including sherpa-onnx. (#2202)
2025-05-12 12:09:46 +08:00
WebAssembly example for VAD + Non-streaming ASR (#1284)
2024-08-24 13:24:52 +08:00
[sherpa-rs]: https://github.com/thewh1teagle/sherpa-rs
[silero-vad]: https://github.com/snakers4/silero-vad
[Raspberry Pi]: https://www.raspberrypi.com/
[RV1126]: https://www.rock-chips.com/uploads/pdf/2022.8.26/191/RV1126%20Brief%20Datasheet.pdf
[LicheePi4A]: https://sipeed.com/licheepi4a
[VisionFive 2]: https://www.starfivetech.com/en/site/boards
[旭日X3派]: https://developer.horizon.ai/api/v1/fileData/documents_pi/index.html
[爱芯派]: https://wiki.sipeed.com/hardware/zh/maixIII/ax-pi/axpi.html
Upload speaker embedding models to huggingface (#1428) See also https://huggingface.co/spaces/k2-fsa/speaker-diarization
2024-10-14 16:20:00 +08:00
[hf-space-speaker-diarization]: https://huggingface.co/spaces/k2-fsa/speaker-diarization
Add link to huggingface space for source separation. (#2284)
2025-06-06 13:38:16 +08:00
[hf-space-speaker-diarization-cn]: https://hf.qhduan.com/spaces/k2-fsa/speaker-diarization
WebAssembly example for VAD + Non-streaming ASR (#1284)
2024-08-24 13:24:52 +08:00
[hf-space-asr]: https://huggingface.co/spaces/k2-fsa/automatic-speech-recognition
Add link to huggingface space for source separation. (#2284)
2025-06-06 13:38:16 +08:00
[hf-space-asr-cn]: https://hf.qhduan.com/spaces/k2-fsa/automatic-speech-recognition
WebAssembly example for VAD + Non-streaming ASR (#1284)
2024-08-24 13:24:52 +08:00
[Whisper]: https://github.com/openai/whisper
[hf-space-asr-whisper]: https://huggingface.co/spaces/k2-fsa/automatic-speech-recognition-with-whisper
Add link to huggingface space for source separation. (#2284)
2025-06-06 13:38:16 +08:00
[hf-space-asr-whisper-cn]: https://hf.qhduan.com/spaces/k2-fsa/automatic-speech-recognition-with-whisper
WebAssembly example for VAD + Non-streaming ASR (#1284)
2024-08-24 13:24:52 +08:00
[hf-space-tts]: https://huggingface.co/spaces/k2-fsa/text-to-speech
Add link to huggingface space for source separation. (#2284)
2025-06-06 13:38:16 +08:00
[hf-space-tts-cn]: https://hf.qhduan.com/spaces/k2-fsa/text-to-speech
WebAssembly example for VAD + Non-streaming ASR (#1284)
2024-08-24 13:24:52 +08:00
[hf-space-subtitle]: https://huggingface.co/spaces/k2-fsa/generate-subtitles-for-videos
Add link to huggingface space for source separation. (#2284)
2025-06-06 13:38:16 +08:00
[hf-space-subtitle-cn]: https://hf.qhduan.com/spaces/k2-fsa/generate-subtitles-for-videos
WebAssembly example for VAD + Non-streaming ASR (#1284)
2024-08-24 13:24:52 +08:00
[hf-space-audio-tagging]: https://huggingface.co/spaces/k2-fsa/audio-tagging
Add link to huggingface space for source separation. (#2284)
2025-06-06 13:38:16 +08:00
[hf-space-audio-tagging-cn]: https://hf.qhduan.com/spaces/k2-fsa/audio-tagging
[hf-space-source-separation]: https://huggingface.co/spaces/k2-fsa/source-separation
[hf-space-source-separation-cn]: https://hf.qhduan.com/spaces/k2-fsa/source-separation
WebAssembly example for VAD + Non-streaming ASR (#1284)
2024-08-24 13:24:52 +08:00
[hf-space-slid-whisper]: https://huggingface.co/spaces/k2-fsa/spoken-language-identification
Add link to huggingface space for source separation. (#2284)
2025-06-06 13:38:16 +08:00
[hf-space-slid-whisper-cn]: https://hf.qhduan.com/spaces/k2-fsa/spoken-language-identification
WebAssembly example for VAD + Non-streaming ASR (#1284)
2024-08-24 13:24:52 +08:00
[wasm-hf-vad]: https://huggingface.co/spaces/k2-fsa/web-assembly-vad-sherpa-onnx
[wasm-ms-vad]: https://modelscope.cn/studios/csukuangfj/web-assembly-vad-sherpa-onnx
[wasm-hf-streaming-asr-zh-en-zipformer]: https://huggingface.co/spaces/k2-fsa/web-assembly-asr-sherpa-onnx-zh-en
[wasm-ms-streaming-asr-zh-en-zipformer]: https://modelscope.cn/studios/k2-fsa/web-assembly-asr-sherpa-onnx-zh-en
[wasm-hf-streaming-asr-zh-en-paraformer]: https://huggingface.co/spaces/k2-fsa/web-assembly-asr-sherpa-onnx-zh-en-paraformer
[wasm-ms-streaming-asr-zh-en-paraformer]: https://modelscope.cn/studios/k2-fsa/web-assembly-asr-sherpa-onnx-zh-en-paraformer
[Paraformer-large]: https://www.modelscope.cn/models/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/summary
[wasm-hf-streaming-asr-zh-en-yue-paraformer]: https://huggingface.co/spaces/k2-fsa/web-assembly-asr-sherpa-onnx-zh-cantonese-en-paraformer
[wasm-ms-streaming-asr-zh-en-yue-paraformer]: https://modelscope.cn/studios/k2-fsa/web-assembly-asr-sherpa-onnx-zh-cantonese-en-paraformer
[wasm-hf-streaming-asr-en-zipformer]: https://huggingface.co/spaces/k2-fsa/web-assembly-asr-sherpa-onnx-en
[wasm-ms-streaming-asr-en-zipformer]: https://modelscope.cn/studios/k2-fsa/web-assembly-asr-sherpa-onnx-en
[SenseVoice]: https://github.com/FunAudioLLM/SenseVoice
Support non-streaming zipformer CTC ASR models (#2340) This PR adds support for non-streaming Zipformer CTC ASR models across multiple language bindings, WebAssembly, examples, and CI workflows. - Introduces a new OfflineZipformerCtcModelConfig in C/C++, Python, Swift, Java, Kotlin, Go, Dart, Pascal, and C# APIs - Updates initialization, freeing, and recognition logic to include Zipformer CTC in WASM and Node.js - Adds example scripts and CI steps for downloading, building, and running Zipformer CTC models Model doc is available at https://k2-fsa.github.io/sherpa/onnx/pretrained_models/offline-ctc/icefall/zipformer.html
2025-07-04 15:57:07 +08:00
[wasm-hf-vad-asr-zh-zipformer-ctc-07-03]: https://huggingface.co/spaces/k2-fsa/web-assembly-vad-asr-sherpa-onnx-zh-zipformer-ctc
[wasm-ms-vad-asr-zh-zipformer-ctc-07-03]: https://modelscope.cn/studios/csukuangfj/web-assembly-vad-asr-sherpa-onnx-zh-zipformer-ctc/summary
WebAssembly example for VAD + Non-streaming ASR (#1284)
2024-08-24 13:24:52 +08:00
[wasm-hf-vad-asr-zh-en-ko-ja-yue-sense-voice]: https://huggingface.co/spaces/k2-fsa/web-assembly-vad-asr-sherpa-onnx-zh-en-ja-ko-cantonese-sense-voice
[wasm-ms-vad-asr-zh-en-ko-ja-yue-sense-voice]: https://www.modelscope.cn/studios/csukuangfj/web-assembly-vad-asr-sherpa-onnx-zh-en-jp-ko-cantonese-sense-voice
[wasm-hf-vad-asr-en-whisper-tiny-en]: https://huggingface.co/spaces/k2-fsa/web-assembly-vad-asr-sherpa-onnx-en-whisper-tiny
[wasm-ms-vad-asr-en-whisper-tiny-en]: https://www.modelscope.cn/studios/csukuangfj/web-assembly-vad-asr-sherpa-onnx-en-whisper-tiny
Add WebAssembly example for VAD + Moonshine models. (#1535)
2024-11-13 21:06:50 +08:00
[wasm-hf-vad-asr-en-moonshine-tiny-en]: https://huggingface.co/spaces/k2-fsa/web-assembly-vad-asr-sherpa-onnx-en-moonshine-tiny
[wasm-ms-vad-asr-en-moonshine-tiny-en]: https://www.modelscope.cn/studios/csukuangfj/web-assembly-vad-asr-sherpa-onnx-en-moonshine-tiny
WebAssembly example for VAD + Non-streaming ASR (#1284)
2024-08-24 13:24:52 +08:00
[wasm-hf-vad-asr-en-zipformer-gigaspeech]: https://huggingface.co/spaces/k2-fsa/web-assembly-vad-asr-sherpa-onnx-en-zipformer-gigaspeech
[wasm-ms-vad-asr-en-zipformer-gigaspeech]: https://www.modelscope.cn/studios/k2-fsa/web-assembly-vad-asr-sherpa-onnx-en-zipformer-gigaspeech
[wasm-hf-vad-asr-zh-zipformer-wenetspeech]: https://huggingface.co/spaces/k2-fsa/web-assembly-vad-asr-sherpa-onnx-zh-zipformer-wenetspeech
[wasm-ms-vad-asr-zh-zipformer-wenetspeech]: https://www.modelscope.cn/studios/k2-fsa/web-assembly-vad-asr-sherpa-onnx-zh-zipformer-wenetspeech
Support non-streaming zipformer CTC ASR models (#2340) This PR adds support for non-streaming Zipformer CTC ASR models across multiple language bindings, WebAssembly, examples, and CI workflows. - Introduces a new OfflineZipformerCtcModelConfig in C/C++, Python, Swift, Java, Kotlin, Go, Dart, Pascal, and C# APIs - Updates initialization, freeing, and recognition logic to include Zipformer CTC in WASM and Node.js - Adds example scripts and CI steps for downloading, building, and running Zipformer CTC models Model doc is available at https://k2-fsa.github.io/sherpa/onnx/pretrained_models/offline-ctc/icefall/zipformer.html
2025-07-04 15:57:07 +08:00
[reazonspeech]: https://research.reazon.jp/_static/reazonspeech_nlp2023.pdf
WebAssembly example for VAD + Non-streaming ASR (#1284)
2024-08-24 13:24:52 +08:00
[wasm-hf-vad-asr-ja-zipformer-reazonspeech]: https://huggingface.co/spaces/k2-fsa/web-assembly-vad-asr-sherpa-onnx-ja-zipformer
[wasm-ms-vad-asr-ja-zipformer-reazonspeech]: https://www.modelscope.cn/studios/csukuangfj/web-assembly-vad-asr-sherpa-onnx-ja-zipformer
Support non-streaming zipformer CTC ASR models (#2340) This PR adds support for non-streaming Zipformer CTC ASR models across multiple language bindings, WebAssembly, examples, and CI workflows. - Introduces a new OfflineZipformerCtcModelConfig in C/C++, Python, Swift, Java, Kotlin, Go, Dart, Pascal, and C# APIs - Updates initialization, freeing, and recognition logic to include Zipformer CTC in WASM and Node.js - Adds example scripts and CI steps for downloading, building, and running Zipformer CTC models Model doc is available at https://k2-fsa.github.io/sherpa/onnx/pretrained_models/offline-ctc/icefall/zipformer.html
2025-07-04 15:57:07 +08:00
[gigaspeech2]: https://github.com/speechcolab/gigaspeech2
WebAssembly example for VAD + Non-streaming ASR (#1284)
2024-08-24 13:24:52 +08:00
[wasm-hf-vad-asr-th-zipformer-gigaspeech2]: https://huggingface.co/spaces/k2-fsa/web-assembly-vad-asr-sherpa-onnx-th-zipformer
[wasm-ms-vad-asr-th-zipformer-gigaspeech2]: https://www.modelscope.cn/studios/csukuangfj/web-assembly-vad-asr-sherpa-onnx-th-zipformer
Support non-streaming zipformer CTC ASR models (#2340) This PR adds support for non-streaming Zipformer CTC ASR models across multiple language bindings, WebAssembly, examples, and CI workflows. - Introduces a new OfflineZipformerCtcModelConfig in C/C++, Python, Swift, Java, Kotlin, Go, Dart, Pascal, and C# APIs - Updates initialization, freeing, and recognition logic to include Zipformer CTC in WASM and Node.js - Adds example scripts and CI steps for downloading, building, and running Zipformer CTC models Model doc is available at https://k2-fsa.github.io/sherpa/onnx/pretrained_models/offline-ctc/icefall/zipformer.html
2025-07-04 15:57:07 +08:00
[telespeech-asr]: https://github.com/tele-ai/telespeech-asr
WebAssembly example for VAD + Non-streaming ASR (#1284)
2024-08-24 13:24:52 +08:00
[wasm-hf-vad-asr-zh-telespeech]: https://huggingface.co/spaces/k2-fsa/web-assembly-vad-asr-sherpa-onnx-zh-telespeech
[wasm-ms-vad-asr-zh-telespeech]: https://www.modelscope.cn/studios/k2-fsa/web-assembly-vad-asr-sherpa-onnx-zh-telespeech
[wasm-hf-vad-asr-zh-en-paraformer-large]: https://huggingface.co/spaces/k2-fsa/web-assembly-vad-asr-sherpa-onnx-zh-en-paraformer
[wasm-ms-vad-asr-zh-en-paraformer-large]: https://www.modelscope.cn/studios/k2-fsa/web-assembly-vad-asr-sherpa-onnx-zh-en-paraformer
[wasm-hf-vad-asr-zh-en-paraformer-small]: https://huggingface.co/spaces/k2-fsa/web-assembly-vad-asr-sherpa-onnx-zh-en-paraformer-small
[wasm-ms-vad-asr-zh-en-paraformer-small]: https://www.modelscope.cn/studios/k2-fsa/web-assembly-vad-asr-sherpa-onnx-zh-en-paraformer-small
Support non-streaming zipformer CTC ASR models (#2340) This PR adds support for non-streaming Zipformer CTC ASR models across multiple language bindings, WebAssembly, examples, and CI workflows. - Introduces a new OfflineZipformerCtcModelConfig in C/C++, Python, Swift, Java, Kotlin, Go, Dart, Pascal, and C# APIs - Updates initialization, freeing, and recognition logic to include Zipformer CTC in WASM and Node.js - Adds example scripts and CI steps for downloading, building, and running Zipformer CTC models Model doc is available at https://k2-fsa.github.io/sherpa/onnx/pretrained_models/offline-ctc/icefall/zipformer.html
2025-07-04 15:57:07 +08:00
[dolphin]: https://github.com/dataoceanai/dolphin
Add Javascript (WebAssembly) API for Dolphin CTC models (#2093)
2025-04-03 15:02:06 +08:00
[wasm-ms-vad-asr-multi-lang-dolphin-base]: https://modelscope.cn/studios/csukuangfj/web-assembly-vad-asr-sherpa-onnx-multi-lang-dophin-ctc
[wasm-hf-vad-asr-multi-lang-dolphin-base]: https://huggingface.co/spaces/k2-fsa/web-assembly-vad-asr-sherpa-onnx-multi-lang-dophin-ctc
WebAssembly example for VAD + Non-streaming ASR (#1284)
2024-08-24 13:24:52 +08:00
[wasm-hf-tts-piper-en]: https://huggingface.co/spaces/k2-fsa/web-assembly-tts-sherpa-onnx-en
[wasm-ms-tts-piper-en]: https://modelscope.cn/studios/k2-fsa/web-assembly-tts-sherpa-onnx-en
[wasm-hf-tts-piper-de]: https://huggingface.co/spaces/k2-fsa/web-assembly-tts-sherpa-onnx-de
[wasm-ms-tts-piper-de]: https://modelscope.cn/studios/k2-fsa/web-assembly-tts-sherpa-onnx-de
WebAssembly exmaple for speaker diarization (#1411)
2024-10-10 22:14:45 +08:00
[wasm-hf-speaker-diarization]: https://huggingface.co/spaces/k2-fsa/web-assembly-speaker-diarization-sherpa-onnx
[wasm-ms-speaker-diarization]: https://www.modelscope.cn/studios/csukuangfj/web-assembly-speaker-diarization-sherpa-onnx
Android demo for speaker diarization (#1423)
2024-10-13 14:02:57 +08:00
[apk-speaker-diarization]: https://k2-fsa.github.io/sherpa/onnx/speaker-diarization/apk.html
[apk-speaker-diarization-cn]: https://k2-fsa.github.io/sherpa/onnx/speaker-diarization/apk-cn.html
WebAssembly example for VAD + Non-streaming ASR (#1284)
2024-08-24 13:24:52 +08:00
[apk-streaming-asr]: https://k2-fsa.github.io/sherpa/onnx/android/apk.html
[apk-streaming-asr-cn]: https://k2-fsa.github.io/sherpa/onnx/android/apk-cn.html
Support non-streaming zipformer CTC ASR models (#2340) This PR adds support for non-streaming Zipformer CTC ASR models across multiple language bindings, WebAssembly, examples, and CI workflows. - Introduces a new OfflineZipformerCtcModelConfig in C/C++, Python, Swift, Java, Kotlin, Go, Dart, Pascal, and C# APIs - Updates initialization, freeing, and recognition logic to include Zipformer CTC in WASM and Node.js - Adds example scripts and CI steps for downloading, building, and running Zipformer CTC models Model doc is available at https://k2-fsa.github.io/sherpa/onnx/pretrained_models/offline-ctc/icefall/zipformer.html
2025-07-04 15:57:07 +08:00
[apk-simula-streaming-asr]: https://k2-fsa.github.io/sherpa/onnx/android/apk-simulate-streaming-asr.html
[apk-simula-streaming-asr-cn]: https://k2-fsa.github.io/sherpa/onnx/android/apk-simulate-streaming-asr-cn.html
WebAssembly example for VAD + Non-streaming ASR (#1284)
2024-08-24 13:24:52 +08:00
[apk-tts]: https://k2-fsa.github.io/sherpa/onnx/tts/apk-engine.html
[apk-tts-cn]: https://k2-fsa.github.io/sherpa/onnx/tts/apk-engine-cn.html
[apk-vad]: https://k2-fsa.github.io/sherpa/onnx/vad/apk.html
[apk-vad-cn]: https://k2-fsa.github.io/sherpa/onnx/vad/apk-cn.html
[apk-vad-asr]: https://k2-fsa.github.io/sherpa/onnx/vad/apk-asr.html
[apk-vad-asr-cn]: https://k2-fsa.github.io/sherpa/onnx/vad/apk-asr-cn.html
[apk-2pass]: https://k2-fsa.github.io/sherpa/onnx/android/apk-2pass.html
[apk-2pass-cn]: https://k2-fsa.github.io/sherpa/onnx/android/apk-2pass-cn.html
[apk-at]: https://k2-fsa.github.io/sherpa/onnx/audio-tagging/apk.html
[apk-at-cn]: https://k2-fsa.github.io/sherpa/onnx/audio-tagging/apk-cn.html
[apk-at-wearos]: https://k2-fsa.github.io/sherpa/onnx/audio-tagging/apk-wearos.html
[apk-at-wearos-cn]: https://k2-fsa.github.io/sherpa/onnx/audio-tagging/apk-wearos-cn.html
[apk-sid]: https://k2-fsa.github.io/sherpa/onnx/speaker-identification/apk.html
[apk-sid-cn]: https://k2-fsa.github.io/sherpa/onnx/speaker-identification/apk-cn.html
[apk-slid]: https://k2-fsa.github.io/sherpa/onnx/spoken-language-identification/apk.html
[apk-slid-cn]: https://k2-fsa.github.io/sherpa/onnx/spoken-language-identification/apk-cn.html
[apk-kws]: https://k2-fsa.github.io/sherpa/onnx/kws/apk.html
[apk-kws-cn]: https://k2-fsa.github.io/sherpa/onnx/kws/apk-cn.html
[apk-flutter-streaming-asr]: https://k2-fsa.github.io/sherpa/onnx/flutter/asr/app.html
[apk-flutter-streaming-asr-cn]: https://k2-fsa.github.io/sherpa/onnx/flutter/asr/app-cn.html
[flutter-tts-android]: https://k2-fsa.github.io/sherpa/onnx/flutter/tts-android.html
[flutter-tts-android-cn]: https://k2-fsa.github.io/sherpa/onnx/flutter/tts-android-cn.html
[flutter-tts-linux]: https://k2-fsa.github.io/sherpa/onnx/flutter/tts-linux.html
[flutter-tts-linux-cn]: https://k2-fsa.github.io/sherpa/onnx/flutter/tts-linux-cn.html
[flutter-tts-macos-x64]: https://k2-fsa.github.io/sherpa/onnx/flutter/tts-macos-x64.html
[flutter-tts-macos-arm64-cn]: https://k2-fsa.github.io/sherpa/onnx/flutter/tts-macos-x64-cn.html
[flutter-tts-macos-arm64]: https://k2-fsa.github.io/sherpa/onnx/flutter/tts-macos-arm64.html
[flutter-tts-macos-x64-cn]: https://k2-fsa.github.io/sherpa/onnx/flutter/tts-macos-arm64-cn.html
[flutter-tts-win-x64]: https://k2-fsa.github.io/sherpa/onnx/flutter/tts-win.html
[flutter-tts-win-x64-cn]: https://k2-fsa.github.io/sherpa/onnx/flutter/tts-win-cn.html
[lazarus-subtitle]: https://k2-fsa.github.io/sherpa/onnx/lazarus/download-generated-subtitles.html
[lazarus-subtitle-cn]: https://k2-fsa.github.io/sherpa/onnx/lazarus/download-generated-subtitles-cn.html
[asr-models]: https://github.com/k2-fsa/sherpa-onnx/releases/tag/asr-models
[tts-models]: https://github.com/k2-fsa/sherpa-onnx/releases/tag/tts-models
[vad-models]: https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/silero_vad.onnx
[kws-models]: https://github.com/k2-fsa/sherpa-onnx/releases/tag/kws-models
[at-models]: https://github.com/k2-fsa/sherpa-onnx/releases/tag/audio-tagging-models
[sid-models]: https://github.com/k2-fsa/sherpa-onnx/releases/tag/speaker-recongition-models
[slid-models]: https://github.com/k2-fsa/sherpa-onnx/releases/tag/speaker-recongition-models
[punct-models]: https://github.com/k2-fsa/sherpa-onnx/releases/tag/punctuation-models
WebAssembly exmaple for speaker diarization (#1411)
2024-10-10 22:14:45 +08:00
[speaker-segmentation-models]: https://github.com/k2-fsa/sherpa-onnx/releases/tag/speaker-segmentation-models
WebAssembly example for VAD + Non-streaming ASR (#1284)
2024-08-24 13:24:52 +08:00
[GigaSpeech]: https://github.com/SpeechColab/GigaSpeech
[WenetSpeech]: https://github.com/wenet-e2e/WenetSpeech
Add some commonly used models to README.md (#1486)
2024-10-28 12:49:47 +08:00
[sherpa-onnx-streaming-zipformer-bilingual-zh-en-2023-02-20]: https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-streaming-zipformer-bilingual-zh-en-2023-02-20.tar.bz2
[sherpa-onnx-streaming-zipformer-small-bilingual-zh-en-2023-02-16]: https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-streaming-zipformer-small-bilingual-zh-en-2023-02-16.tar.bz2
[sherpa-onnx-streaming-zipformer-korean-2024-06-16]: https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-streaming-zipformer-korean-2024-06-16.tar.bz2
[sherpa-onnx-streaming-zipformer-zh-14M-2023-02-23]: https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-streaming-zipformer-zh-14M-2023-02-23.tar.bz2
[sherpa-onnx-streaming-zipformer-en-20M-2023-02-17]: https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-streaming-zipformer-en-20M-2023-02-17.tar.bz2
[sherpa-onnx-zipformer-ja-reazonspeech-2024-08-01]: https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-zipformer-ja-reazonspeech-2024-08-01.tar.bz2
[sherpa-onnx-zipformer-ru-2024-09-18]: https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-zipformer-ru-2024-09-18.tar.bz2
[sherpa-onnx-zipformer-korean-2024-06-24]: https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-zipformer-korean-2024-06-24.tar.bz2
[sherpa-onnx-zipformer-thai-2024-06-20]: https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-zipformer-thai-2024-06-20.tar.bz2
[sherpa-onnx-nemo-transducer-giga-am-russian-2024-10-24]: https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-nemo-transducer-giga-am-russian-2024-10-24.tar.bz2
[sherpa-onnx-paraformer-zh-2024-03-09]: https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-paraformer-zh-2024-03-09.tar.bz2
[sherpa-onnx-nemo-ctc-giga-am-russian-2024-10-24]: https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-nemo-ctc-giga-am-russian-2024-10-24.tar.bz2
[sherpa-onnx-telespeech-ctc-int8-zh-2024-06-04]: https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-telespeech-ctc-int8-zh-2024-06-04.tar.bz2
[sherpa-onnx-sense-voice-zh-en-ja-ko-yue-2024-07-17]: https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-sense-voice-zh-en-ja-ko-yue-2024-07-17.tar.bz2
[sherpa-onnx-streaming-zipformer-fr-2023-04-14]: https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-streaming-zipformer-fr-2023-04-14.tar.bz2
Add WebAssembly example for VAD + Moonshine models. (#1535)
2024-11-13 21:06:50 +08:00
[Moonshine tiny]: https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-moonshine-tiny-en-int8.tar.bz2
Update readme to include jetson orin nx and nano b01 (#1631)
2024-12-19 18:52:42 +08:00
[NVIDIA Jetson Orin NX]: https://developer.download.nvidia.com/assets/embedded/secure/jetson/orin_nx/docs/Jetson_Orin_NX_DS-10712-001_v0.5.pdf?RCPGu9Q6OVAOv7a7vgtwc9-BLScXRIWq6cSLuditMALECJ_dOj27DgnqAPGVnT2VpiNpQan9SyFy-9zRykR58CokzbXwjSA7Gj819e91AXPrWkGZR3oS1VLxiDEpJa_Y0lr7UT-N4GnXtb8NlUkP4GkCkkF_FQivGPrAucCUywL481GH_WpP_p7ziHU1Wg==&t=eyJscyI6ImdzZW8iLCJsc2QiOiJodHRwczovL3d3dy5nb29nbGUuY29tLmhrLyJ9
[NVIDIA Jetson Nano B01]: https://www.seeedstudio.com/blog/2020/01/16/new-revision-of-jetson-nano-dev-kit-now-supports-new-jetson-nano-module/
Add C++ runtime for speech enhancement GTCRN models (#1977) See also https://github.com/Xiaobin-Rong/gtcrn
2025-03-10 18:11:16 +08:00
[speech-enhancement-models]: https://github.com/k2-fsa/sherpa-onnx/releases/tag/speech-enhancement-models
Add C++ support for UVR models (#2269)
2025-06-01 17:22:08 +08:00
[source-separation-models]: https://github.com/k2-fsa/sherpa-onnx/releases/tag/source-separation-models
[RK3588]: https://www.rock-chips.com/uploads/pdf/2022.8.26/192/RK3588%20Brief%20Datasheet.pdf
[spleeter]: https://github.com/deezer/spleeter
[UVR]: https://github.com/Anjok07/ultimatevocalremovergui
[gtcrn]: https://github.com/Xiaobin-Rong/gtcrn
Support extra languages in multi-lang kokoro tts (#2303)
2025-06-20 11:22:52 +08:00
[tts-url]: https://k2-fsa.github.io/sherpa/onnx/tts/all-in-one.html
[ss-url]: https://k2-fsa.github.io/sherpa/onnx/source-separation/index.html
[sd-url]: https://k2-fsa.github.io/sherpa/onnx/speaker-diarization/index.html
[slid-url]: https://k2-fsa.github.io/sherpa/onnx/spoken-language-identification/index.html
[at-url]: https://k2-fsa.github.io/sherpa/onnx/audio-tagging/index.html
[vad-url]: https://k2-fsa.github.io/sherpa/onnx/vad/index.html
[kws-url]: https://k2-fsa.github.io/sherpa/onnx/kws/index.html
[punct-url]: https://k2-fsa.github.io/sherpa/onnx/punctuation/index.html
[se-url]: https://k2-fsa.github.io/sherpa/onnx/speech-enhancment/index.html
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