MNN/apps/frameworks/sherpa-mnn/c-api-examples/whisper-c-api.c

90 lines
2.9 KiB
C

// c-api-examples/whisper-c-api.c
//
// Copyright (c) 2024 Xiaomi Corporation
// We assume you have pre-downloaded the whisper multi-lingual models
// from https://github.com/k2-fsa/sherpa-onnx/releases/tag/asr-models
// An example command to download the "tiny" whisper model is given below:
//
// clang-format off
//
// wget https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-whisper-tiny.tar.bz2
// tar xvf sherpa-onnx-whisper-tiny.tar.bz2
// rm sherpa-onnx-whisper-tiny.tar.bz2
//
// clang-format on
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include "sherpa-mnn/c-api/c-api.h"
int32_t main() {
const char *wav_filename = "./sherpa-onnx-whisper-tiny/test_wavs/0.wav";
const char *encoder_filename = "sherpa-onnx-whisper-tiny/tiny-encoder.onnx";
const char *decoder_filename = "sherpa-onnx-whisper-tiny/tiny-decoder.onnx";
const char *tokens_filename = "sherpa-onnx-whisper-tiny/tiny-tokens.txt";
const char *language = "en";
const char *provider = "cpu";
const SherpaMnnWave *wave = SherpaMnnReadWave(wav_filename);
if (wave == NULL) {
fprintf(stderr, "Failed to read %s\n", wav_filename);
return -1;
}
// Whisper config
SherpaMnnOfflineWhisperModelConfig whisper_config;
memset(&whisper_config, 0, sizeof(whisper_config));
whisper_config.decoder = decoder_filename;
whisper_config.encoder = encoder_filename;
whisper_config.language = language;
whisper_config.tail_paddings = 0;
whisper_config.task = "transcribe";
// Offline model config
SherpaMnnOfflineModelConfig offline_model_config;
memset(&offline_model_config, 0, sizeof(offline_model_config));
offline_model_config.debug = 1;
offline_model_config.num_threads = 1;
offline_model_config.provider = provider;
offline_model_config.tokens = tokens_filename;
offline_model_config.whisper = whisper_config;
// Recognizer config
SherpaMnnOfflineRecognizerConfig recognizer_config;
memset(&recognizer_config, 0, sizeof(recognizer_config));
recognizer_config.decoding_method = "greedy_search";
recognizer_config.model_config = offline_model_config;
const SherpaMnnOfflineRecognizer *recognizer =
SherpaMnnCreateOfflineRecognizer(&recognizer_config);
if (recognizer == NULL) {
fprintf(stderr, "Please check your config!\n");
SherpaMnnFreeWave(wave);
return -1;
}
const SherpaMnnOfflineStream *stream =
SherpaMnnCreateOfflineStream(recognizer);
SherpaMnnAcceptWaveformOffline(stream, wave->sample_rate, wave->samples,
wave->num_samples);
SherpaMnnDecodeOfflineStream(recognizer, stream);
const SherpaMnnOfflineRecognizerResult *result =
SherpaMnnGetOfflineStreamResult(stream);
fprintf(stderr, "Decoded text: %s\n", result->text);
SherpaMnnDestroyOfflineRecognizerResult(result);
SherpaMnnDestroyOfflineStream(stream);
SherpaMnnDestroyOfflineRecognizer(recognizer);
SherpaMnnFreeWave(wave);
return 0;
}