33 lines
1.2 KiB
Markdown
33 lines
1.2 KiB
Markdown
# Introduction
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Please refer to
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https://k2-fsa.github.io/sherpa/onnx/android/index.html
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for usage.
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- [SherpaOnnx](./SherpaOnnx) It uses a streaming ASR model.
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- [SherpaOnnx2Pass](./SherpaOnnx2Pass) It uses a streaming ASR model
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for the first pass and use a non-streaming ASR model for the second pass
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- [SherpaOnnxKws](./SherpaOnnxKws) It demonstrates how to use keyword spotting
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- [SherpaOnnxSpeakerIdentification](./SherpaOnnxSpeakerIdentification) It demonstrates
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how to use speaker identification
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- [SherpaOnnxTts](./SherpaOnnxTts) It is for standalone text-to-speech.
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- [SherpaOnnxTtsEngine](./SherpaOnnxTtsEngine) It is for text-to-speech engine;
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you can use it to replace the system TTS engine.
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- [SherpaOnnxVad](./SherpaOnnxVad) It demonstrates how to use a VAD
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- [SherpaOnnxVadAsr](./SherpaOnnxVadAsr) It uses a VAD with a non-streaming
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ASR model.
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- [SherpaOnnxWebSocket](./SherpaOnnxWebSocket) It shows how to write a websocket
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client for the Python streaming websocket server.
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- [SherpaOnnxAudioTagging](./SherpaOnnxAudioTagging) It shows how to use audio tagging.
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- [SherpaOnnxAudioTaggingWearOS](./SherpaOnnxAudioTagging) It shows how to use audio tagging on WearOS.
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