b5093e27f9
Save APKs for each release in a separate directory. Huggingface requires that each directory cannot contain more than 1000 files. Since we have so many tts models and for each model we need to build APKs of 4 different ABIs, it is a workaround for the huggingface's constraint by placing them into separate directories for different releases.
Introduction
This folder contains Go API examples for sherpa-onnx.
Please refer to the documentation https://k2-fsa.github.io/sherpa/onnx/go-api/index.html for details.
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./non-streaming-decode-files It shows how to use a non-streaming ASR model to decode files
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./non-streaming-tts It shows how to use a non-streaming TTS model to convert text to speech
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./real-time-speech-recognition-from-microphone It shows how to use a streaming ASR model to recognize speech from a microphone in real-time
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./vad It shows how to use silero VAD with Golang.
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./vad-asr-whisper It shows how to use silero VAD + Whisper for speech recognition.
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./vad-asr-paraformer It shows how to use silero VAD + Paraformer for speech recognition.
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./vad-spoken-language-identification It shows how to use silero VAD + Whisper for spoken language identification.
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./speaker-identification It shows how to use Go API for speaker identification.
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./vad-speaker-identification It shows how to use Go API for VAD + speaker identification.