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Add more C API examples for Moonshine
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// c-api-examples/vad-sense-voice-c-api.c | ||
// | ||
// Copyright (c) 2024 Xiaomi Corporation | ||
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// | ||
// This file demonstrates how to use VAD + Moonshine with sherpa-onnx's C API. | ||
// clang-format off | ||
// | ||
// wget https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/silero_vad.onnx | ||
// 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/sherpa-onnx-moonshine-tiny-en-int8.tar.bz2 | ||
// tar xvf sherpa-onnx-moonshine-tiny-en-int8.tar.bz2 | ||
// rm sherpa-onnx-moonshine-tiny-en-int8.tar.bz2 | ||
// | ||
// clang-format on | ||
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#include <stdio.h> | ||
#include <stdlib.h> | ||
#include <string.h> | ||
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#include "sherpa-onnx/c-api/c-api.h" | ||
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int32_t main() { | ||
const char *wav_filename = "./Obama.wav"; | ||
const char *vad_filename = "./silero_vad.onnx"; | ||
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const char *preprocessor = | ||
"./sherpa-onnx-moonshine-tiny-en-int8/preprocess.onnx"; | ||
const char *encoder = "./sherpa-onnx-moonshine-tiny-en-int8/encode.int8.onnx"; | ||
const char *uncached_decoder = | ||
"./sherpa-onnx-moonshine-tiny-en-int8/uncached_decode.int8.onnx"; | ||
const char *cached_decoder = | ||
"./sherpa-onnx-moonshine-tiny-en-int8/cached_decode.int8.onnx"; | ||
const char *tokens = "./sherpa-onnx-moonshine-tiny-en-int8/tokens.txt"; | ||
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const SherpaOnnxWave *wave = SherpaOnnxReadWave(wav_filename); | ||
if (wave == NULL) { | ||
fprintf(stderr, "Failed to read %s\n", wav_filename); | ||
return -1; | ||
} | ||
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if (wave->sample_rate != 16000) { | ||
fprintf(stderr, "Expect the sample rate to be 16000. Given: %d\n", | ||
wave->sample_rate); | ||
SherpaOnnxFreeWave(wave); | ||
return -1; | ||
} | ||
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// Offline model config | ||
SherpaOnnxOfflineModelConfig offline_model_config; | ||
memset(&offline_model_config, 0, sizeof(offline_model_config)); | ||
offline_model_config.debug = 0; | ||
offline_model_config.num_threads = 1; | ||
offline_model_config.provider = "cpu"; | ||
offline_model_config.tokens = tokens; | ||
offline_model_config.moonshine.preprocessor = preprocessor; | ||
offline_model_config.moonshine.encoder = encoder; | ||
offline_model_config.moonshine.uncached_decoder = uncached_decoder; | ||
offline_model_config.moonshine.cached_decoder = cached_decoder; | ||
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// Recognizer config | ||
SherpaOnnxOfflineRecognizerConfig recognizer_config; | ||
memset(&recognizer_config, 0, sizeof(recognizer_config)); | ||
recognizer_config.decoding_method = "greedy_search"; | ||
recognizer_config.model_config = offline_model_config; | ||
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const SherpaOnnxOfflineRecognizer *recognizer = | ||
SherpaOnnxCreateOfflineRecognizer(&recognizer_config); | ||
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if (recognizer == NULL) { | ||
fprintf(stderr, "Please check your recognizer config!\n"); | ||
SherpaOnnxFreeWave(wave); | ||
return -1; | ||
} | ||
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SherpaOnnxVadModelConfig vadConfig; | ||
memset(&vadConfig, 0, sizeof(vadConfig)); | ||
vadConfig.silero_vad.model = vad_filename; | ||
vadConfig.silero_vad.threshold = 0.5; | ||
vadConfig.silero_vad.min_silence_duration = 0.5; | ||
vadConfig.silero_vad.min_speech_duration = 0.5; | ||
vadConfig.silero_vad.max_speech_duration = 10; | ||
vadConfig.silero_vad.window_size = 512; | ||
vadConfig.sample_rate = 16000; | ||
vadConfig.num_threads = 1; | ||
vadConfig.debug = 1; | ||
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SherpaOnnxVoiceActivityDetector *vad = | ||
SherpaOnnxCreateVoiceActivityDetector(&vadConfig, 30); | ||
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if (vad == NULL) { | ||
fprintf(stderr, "Please check your recognizer config!\n"); | ||
SherpaOnnxFreeWave(wave); | ||
SherpaOnnxDestroyOfflineRecognizer(recognizer); | ||
return -1; | ||
} | ||
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int32_t window_size = vadConfig.silero_vad.window_size; | ||
int32_t i = 0; | ||
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while (i + window_size < wave->num_samples) { | ||
SherpaOnnxVoiceActivityDetectorAcceptWaveform(vad, wave->samples + i, | ||
window_size); | ||
i += window_size; | ||
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while (!SherpaOnnxVoiceActivityDetectorEmpty(vad)) { | ||
const SherpaOnnxSpeechSegment *segment = | ||
SherpaOnnxVoiceActivityDetectorFront(vad); | ||
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const SherpaOnnxOfflineStream *stream = | ||
SherpaOnnxCreateOfflineStream(recognizer); | ||
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SherpaOnnxAcceptWaveformOffline(stream, wave->sample_rate, | ||
segment->samples, segment->n); | ||
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SherpaOnnxDecodeOfflineStream(recognizer, stream); | ||
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const SherpaOnnxOfflineRecognizerResult *result = | ||
SherpaOnnxGetOfflineStreamResult(stream); | ||
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float start = segment->start / 16000.0f; | ||
float duration = segment->n / 16000.0f; | ||
float stop = start + duration; | ||
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fprintf(stderr, "%.3f -- %.3f: %s\n", start, stop, result->text); | ||
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SherpaOnnxDestroyOfflineRecognizerResult(result); | ||
SherpaOnnxDestroyOfflineStream(stream); | ||
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SherpaOnnxDestroySpeechSegment(segment); | ||
SherpaOnnxVoiceActivityDetectorPop(vad); | ||
} | ||
} | ||
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SherpaOnnxVoiceActivityDetectorFlush(vad); | ||
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while (!SherpaOnnxVoiceActivityDetectorEmpty(vad)) { | ||
const SherpaOnnxSpeechSegment *segment = | ||
SherpaOnnxVoiceActivityDetectorFront(vad); | ||
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const SherpaOnnxOfflineStream *stream = | ||
SherpaOnnxCreateOfflineStream(recognizer); | ||
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SherpaOnnxAcceptWaveformOffline(stream, wave->sample_rate, segment->samples, | ||
segment->n); | ||
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SherpaOnnxDecodeOfflineStream(recognizer, stream); | ||
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const SherpaOnnxOfflineRecognizerResult *result = | ||
SherpaOnnxGetOfflineStreamResult(stream); | ||
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float start = segment->start / 16000.0f; | ||
float duration = segment->n / 16000.0f; | ||
float stop = start + duration; | ||
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fprintf(stderr, "%.3f -- %.3f: %s\n", start, stop, result->text); | ||
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SherpaOnnxDestroyOfflineRecognizerResult(result); | ||
SherpaOnnxDestroyOfflineStream(stream); | ||
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SherpaOnnxDestroySpeechSegment(segment); | ||
SherpaOnnxVoiceActivityDetectorPop(vad); | ||
} | ||
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SherpaOnnxDestroyOfflineRecognizer(recognizer); | ||
SherpaOnnxDestroyVoiceActivityDetector(vad); | ||
SherpaOnnxFreeWave(wave); | ||
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return 0; | ||
} |
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