47 lines
1.9 KiB
Markdown
47 lines
1.9 KiB
Markdown
# Introduction
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This folder contains Go API examples for [sherpa-onnx][sherpa-onnx].
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Please refer to the documentation
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https://k2-fsa.github.io/sherpa/onnx/go-api/index.html
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for details.
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- [./add-punctuation](./add-punctuation) It shows how to use
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a punctuation model to add punctuations to text
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- [./non-streaming-decode-files](./non-streaming-decode-files) It shows how to use
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a non-streaming ASR model to decode files
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- [./non-streaming-speaker-diarization](./non-streaming-speaker-diarization) It shows how to use
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a speaker segmentation model and a speaker embedding model for speaker diarization.
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- [./non-streaming-tts](./non-streaming-tts) It shows how to use a non-streaming TTS
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model to convert text to speech
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- [./real-time-speech-recognition-from-microphone](./real-time-speech-recognition-from-microphone)
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It shows how to use a streaming ASR model to recognize speech from a microphone in real-time
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- [./speaker-identification](./speaker-identification) It shows how to use a speaker
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embedding model for speaker identification.
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- [./streaming-decode-files](./streaming-decode-files) It shows how to use a streaming
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model for streaming speech recognition
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- [./streaming-hlg-decoding](./streaming-hlg-decoding) It shows how to use a streaming
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model for streaming speech recognition with HLG decoding
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- [./vad](./vad) It shows how to use silero VAD with Golang.
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- [./vad-asr-paraformer](./vad-asr-paraformer) It shows how to use silero VAD + Paraformer
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for speech recognition.
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- [./vad-asr-whisper](./vad-asr-whisper) It shows how to use silero VAD + Whisper
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- [./vad-speaker-identification](./vad-speaker-identification) It shows how to use Go API for VAD + speaker identification.
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for speech recognition.
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- [./vad-spoken-language-identification](./vad-spoken-language-identification) It shows how to use silero VAD + Whisper
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for spoken language identification.
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[sherpa-onnx]: https://github.com/k2-fsa/sherpa-onnx
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