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Add JavaScript API for Moonshine models (#1480)

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This commit is contained in:
Fangjun Kuang
2024-10-27 11:31:01 +08:00
committed by GitHub
parent 3d3edabb5f
commit 6f261d39f3
13 changed files with 719 additions and 88 deletions
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nodejs-examples/README.md
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@@ -133,7 +133,25 @@ tar xvf sherpa-onnx-zipformer-en-2023-06-26.tar.bz2
node ./test-offline-transducer.js
```
## ./test-vad-with-non-streaming-asr-whisper.js
[./test-vad-with-non-streaming-asr-whisper.js](./test-vad-with-non-streaming-asr-whisper.js)
shows how to use VAD + whisper to decode a very long file.
You can use the following command to run it:
```bash
wget -q https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-whisper-tiny.en.tar.bz2
tar xvf sherpa-onnx-whisper-tiny.en.tar.bz2
wget https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/Obama.wav
wget https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/silero_vad.onnx
node ./test-vad-with-non-streaming-asr-whisper.js
```
## ./test-offline-whisper.js
[./test-offline-whisper.js](./test-offline-whisper.js) demonstrates
how to decode a file with a Whisper model. In the code we use
[sherpa-onnx-whisper-tiny.en](https://k2-fsa.github.io/sherpa/onnx/pretrained_models/whisper/tiny.en.html).
@@ -146,7 +164,40 @@ tar xvf sherpa-onnx-whisper-tiny.en.tar.bz2
node ./test-offline-whisper.js
```
## ./test-offline-moonshine.js
[./test-offline-moonshine.js](./test-offline-moonshine.js) demonstrates
how to decode a file with a Moonshine model. In the code we use
[sherpa-onnx-moonshine-tiny-en-int8](https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-moonshine-tiny-en-int8.tar.bz2).
You can use the following command to run it:
```bash
wget https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-moonshine-tiny-en-int8.tar.bz2
tar xvf sherpa-onnx-moonshine-tiny-en-int8.tar.bz2
node ./test-offline-moonshine.js
```
## ./test-vad-with-non-streaming-asr-moonshine.js
[./test-vad-with-non-streaming-asr-moonshine.js](./test-vad-with-non-streaming-asr-moonshine.js)
shows how to use VAD + whisper to decode a very long file.
You can use the following command to run it:
```bash
wget https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-moonshine-tiny-en-int8.tar.bz2
tar xvf sherpa-onnx-moonshine-tiny-en-int8.tar.bz2
wget https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/Obama.wav
wget https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/silero_vad.onnx
node ./test-vad-with-non-streaming-asr-moonshine.js
```
## ./test-online-paraformer-microphone.js
[./test-online-paraformer-microphone.js](./test-online-paraformer-microphone.js)
demonstrates how to do real-time speech recognition from microphone
with a streaming Paraformer model. In the code we use