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66 lines
1.9 KiB
66 lines
1.9 KiB
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#include "vad.h"
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int main(int argc, char* argv[]) {
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if (argc < 3) {
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std::cout << "Usage: infer_onnx_silero_vad path/to/model path/to/audio "
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"run_option, "
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"e.g ./infer_onnx_silero_vad silero_vad.onnx sample.wav"
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<< std::endl;
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return -1;
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}
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std::string model_file = argv[1];
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std::string audio_file = argv[2];
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int sr = 16000;
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Vad vad(model_file);
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// custom config, but must be set before init
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vad.SetConfig(sr, 32, 0.45f, 200, 0, 0);
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vad.Init();
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std::vector<float> inputWav; // [0, 1]
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wav::WavReader wav_reader = wav::WavReader(audio_file);
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assert(wav_reader.sample_rate() == sr);
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auto num_samples = wav_reader.num_samples();
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inputWav.resize(num_samples);
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for (int i = 0; i < num_samples; i++) {
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inputWav[i] = wav_reader.data()[i] / 32768;
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}
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int window_size_samples = vad.WindowSizeSamples();
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for (int64_t j = 0; j < num_samples; j += window_size_samples) {
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auto start = j;
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auto end = start + window_size_samples >= num_samples
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? num_samples
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: start + window_size_samples;
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auto current_chunk_size = end - start;
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std::vector<float> r{&inputWav[0] + start, &inputWav[0] + end};
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assert(r.size() == current_chunk_size);
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if (!vad.ForwardChunk(r)) {
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std::cerr << "Failed to inference while using model:"
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<< vad.ModelName() << "." << std::endl;
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return false;
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}
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Vad::State s = vad.Postprocess();
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std::cout << s << " ";
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}
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std::cout << std::endl;
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std::vector<std::map<std::string, float>> result = vad.GetResult();
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for (auto& res : result) {
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std::cout << "speak start: " << res["start"]
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<< " s, end: " << res["end"] << " s | ";
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}
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std::cout << "\b\b " << std::endl;
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vad.Reset();
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return 0;
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}
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