24 lines
767 B
Markdown
24 lines
767 B
Markdown
# Introduction
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## Download VAD models
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Please download
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https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/silero_vad.onnx
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and put `silero_vad.onnx` into the current directory, i.e., `wasm/vad/assets`.
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## Download non-streaming ASR models
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Please refer to
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https://k2-fsa.github.io/sherpa/onnx/pretrained_models/index.html
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to download a non-streaming ASR model, i.e., an offline ASR model.
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After downloading, you should rename the model files.
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Please refer to
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https://k2-fsa.github.io/sherpa/onnx/lazarus/generate-subtitles.html#download-a-speech-recognition-model
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for how to rename.
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You can find example build scripts at the following address:
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https://github.com/k2-fsa/sherpa-onnx/blob/master/.github/workflows/wasm-simd-hf-space-vad-asr.yaml
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