mirror of https://github.com/alibaba/MNN.git
86 lines
2.9 KiB
C
86 lines
2.9 KiB
C
// c-api-examples/sense-voice-c-api.c
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//
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// Copyright (c) 2024 Xiaomi Corporation
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//
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// This file demonstrates how to use SenseVoice with sherpa-onnx's C API.
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// clang-format off
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//
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// wget https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-sense-voice-zh-en-ja-ko-yue-2024-07-17.tar.bz2
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// tar xvf sherpa-onnx-sense-voice-zh-en-ja-ko-yue-2024-07-17.tar.bz2
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// rm sherpa-onnx-sense-voice-zh-en-ja-ko-yue-2024-07-17.tar.bz2
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//
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// clang-format on
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#include <stdio.h>
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#include <stdlib.h>
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#include <string.h>
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#include "sherpa-mnn/c-api/c-api.h"
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int32_t main() {
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const char *wav_filename =
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"./sherpa-onnx-sense-voice-zh-en-ja-ko-yue-2024-07-17/test_wavs/en.wav";
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const char *model_filename =
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"./sherpa-onnx-sense-voice-zh-en-ja-ko-yue-2024-07-17/model.int8.onnx";
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const char *tokens_filename =
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"./sherpa-onnx-sense-voice-zh-en-ja-ko-yue-2024-07-17/tokens.txt";
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const char *language = "auto";
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const char *provider = "cpu";
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int32_t use_inverse_text_normalization = 1;
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const SherpaMnnWave *wave = SherpaMnnReadWave(wav_filename);
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if (wave == NULL) {
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fprintf(stderr, "Failed to read %s\n", wav_filename);
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return -1;
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}
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SherpaMnnOfflineSenseVoiceModelConfig sense_voice_config;
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memset(&sense_voice_config, 0, sizeof(sense_voice_config));
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sense_voice_config.model = model_filename;
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sense_voice_config.language = language;
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sense_voice_config.use_itn = use_inverse_text_normalization;
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// Offline model config
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SherpaMnnOfflineModelConfig offline_model_config;
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memset(&offline_model_config, 0, sizeof(offline_model_config));
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offline_model_config.debug = 1;
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offline_model_config.num_threads = 1;
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offline_model_config.provider = provider;
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offline_model_config.tokens = tokens_filename;
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offline_model_config.sense_voice = sense_voice_config;
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// Recognizer config
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SherpaMnnOfflineRecognizerConfig recognizer_config;
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memset(&recognizer_config, 0, sizeof(recognizer_config));
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recognizer_config.decoding_method = "greedy_search";
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recognizer_config.model_config = offline_model_config;
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const SherpaMnnOfflineRecognizer *recognizer =
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SherpaMnnCreateOfflineRecognizer(&recognizer_config);
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if (recognizer == NULL) {
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fprintf(stderr, "Please check your config!\n");
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SherpaMnnFreeWave(wave);
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return -1;
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}
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const SherpaMnnOfflineStream *stream =
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SherpaMnnCreateOfflineStream(recognizer);
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SherpaMnnAcceptWaveformOffline(stream, wave->sample_rate, wave->samples,
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wave->num_samples);
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SherpaMnnDecodeOfflineStream(recognizer, stream);
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const SherpaMnnOfflineRecognizerResult *result =
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SherpaMnnGetOfflineStreamResult(stream);
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fprintf(stderr, "Decoded text: %s\n", result->text);
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SherpaMnnDestroyOfflineRecognizerResult(result);
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SherpaMnnDestroyOfflineStream(stream);
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SherpaMnnDestroyOfflineRecognizer(recognizer);
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SherpaMnnFreeWave(wave);
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return 0;
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}
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