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enginex_bi_series-sherpa-onnx/cxx-api-examples/speech-enhancement-gtcrn-cxx-api.cc
2025-03-11 17:07:52 +08:00

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// cxx-api-examples/speech-enhancement-gtcrn-cxx-api.cc
//
// Copyright (c) 2025 Xiaomi Corporation
//
// We assume you have pre-downloaded model
// from
// https://github.com/k2-fsa/sherpa-onnx/releases/tag/speech-enhancement-models
//
//
// An example command to download
// clang-format off
/*
wget https://github.com/k2-fsa/sherpa-onnx/releases/download/speech-enhancement-models/gtcrn_simple.onnx
wget https://github.com/k2-fsa/sherpa-onnx/releases/download/speech-enhancement-models/inp_16k.wav
*/
// clang-format on
#include <chrono> // NOLINT
#include <iostream>
#include <string>
#include "sherpa-onnx/c-api/cxx-api.h"
int32_t main() {
using namespace sherpa_onnx::cxx; // NOLINT
OfflineSpeechDenoiserConfig config;
std::string wav_filename = "./inp_16k.wav";
std::string out_wave_filename = "./enhanced_16k.wav";
config.model.gtcrn.model = "./gtcrn_simple.onnx";
auto sd = OfflineSpeechDenoiser::Create(config);
if (!sd.Get()) {
std::cerr << "Please check your config\n";
return -1;
}
Wave wave = ReadWave(wav_filename);
if (wave.samples.empty()) {
std::cerr << "Failed to read: '" << wav_filename << "'\n";
return -1;
}
std::cout << "Started\n";
const auto begin = std::chrono::steady_clock::now();
auto denoised =
sd.Run(wave.samples.data(), wave.samples.size(), wave.sample_rate);
const auto end = std::chrono::steady_clock::now();
std::cout << "Done\n";
WriteWave(out_wave_filename, {denoised.samples, denoised.sample_rate});
const float elapsed_seconds =
std::chrono::duration_cast<std::chrono::milliseconds>(end - begin)
.count() /
1000.;
float duration = wave.samples.size() / static_cast<float>(wave.sample_rate);
float rtf = elapsed_seconds / duration;
std::cout << "Saved to " << out_wave_filename << "\n";
printf("Duration: %.3fs\n", duration);
printf("Elapsed seconds: %.3fs\n", elapsed_seconds);
printf("(Real time factor) RTF = %.3f / %.3f = %.3f\n", elapsed_seconds,
duration, rtf);
}