sherpa-onnx-offline-source-separation.cc
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// sherpa-onnx/csrc/sherpa-onnx-offline-source-separation.cc
//
// Copyright (c) 2025 Xiaomi Corporation
#include <stdio.h>
#include <chrono> // NOLINT
#include <string>
#include "sherpa-onnx/csrc/offline-source-separation.h"
#include "sherpa-onnx/csrc/wave-reader.h"
#include "sherpa-onnx/csrc/wave-writer.h"
int main(int32_t argc, char *argv[]) {
const char *kUsageMessage = R"usage(
Non-streaming source separation with sherpa-onnx.
Please visit
https://github.com/k2-fsa/sherpa-onnx/releases/tag/source-separation-models
to download models.
Usage:
(1) Use spleeter models
wget https://github.com/k2-fsa/sherpa-onnx/releases/download/source-separation-models/sherpa-onnx-spleeter-2stems-fp16.tar.bz2
tar xvf sherpa-onnx-spleeter-2stems-fp16.tar.bz2
wget https://github.com/k2-fsa/sherpa-onnx/releases/download/source-separation-models/audio_example.wav
./bin/sherpa-onnx-offline-source-separation \
--spleeter-vocals=sherpa-onnx-spleeter-2stems-fp16/vocals.fp16.onnx \
--spleeter-accompaniment=sherpa-onnx-spleeter-2stems-fp16/accompaniment.fp16.onnx \
--input-wav=audio_example.wav \
--output-vocals-wav=output_vocals.wav \
--output-accompaniment-wav=output_accompaniment.wav
(2) Use UVR models
wget https://github.com/k2-fsa/sherpa-onnx/releases/download/source-separation-models/UVR_MDXNET_1_9703.onnx
wget https://github.com/k2-fsa/sherpa-onnx/releases/download/source-separation-models/audio_example.wav
./bin/sherpa-onnx-offline-source-separation \
--uvr-model=./UVR_MDXNET_1_9703.onnx \
--input-wav=audio_example.wav \
--output-vocals-wav=output_vocals.wav \
--output-accompaniment-wav=output_accompaniment.wav
)usage";
sherpa_onnx::ParseOptions po(kUsageMessage);
sherpa_onnx::OfflineSourceSeparationConfig config;
std::string input_wave;
std::string output_vocals_wave;
std::string output_accompaniment_wave;
config.Register(&po);
po.Register("input-wav", &input_wave, "Path to input wav.");
po.Register("output-vocals-wav", &output_vocals_wave,
"Path to output vocals wav");
po.Register("output-accompaniment-wav", &output_accompaniment_wave,
"Path to output accompaniment wav");
po.Read(argc, argv);
if (po.NumArgs() != 0) {
fprintf(stderr, "Please don't give positional arguments\n");
po.PrintUsage();
exit(EXIT_FAILURE);
}
fprintf(stderr, "%s\n", config.ToString().c_str());
if (input_wave.empty()) {
fprintf(stderr, "Please provide --input-wav\n");
po.PrintUsage();
exit(EXIT_FAILURE);
}
if (output_vocals_wave.empty()) {
fprintf(stderr, "Please provide --output-vocals-wav\n");
po.PrintUsage();
exit(EXIT_FAILURE);
}
if (output_accompaniment_wave.empty()) {
fprintf(stderr, "Please provide --output-accompaniment-wav\n");
po.PrintUsage();
exit(EXIT_FAILURE);
}
if (!config.Validate()) {
fprintf(stderr, "Errors in config!\n");
exit(EXIT_FAILURE);
}
bool is_ok = false;
sherpa_onnx::OfflineSourceSeparationInput input;
input.samples.data =
sherpa_onnx::ReadWaveMultiChannel(input_wave, &input.sample_rate, &is_ok);
if (!is_ok) {
fprintf(stderr, "Failed to read '%s'\n", input_wave.c_str());
return -1;
}
fprintf(stderr, "Started\n");
sherpa_onnx::OfflineSourceSeparation sp(config);
const auto begin = std::chrono::steady_clock::now();
auto output = sp.Process(input);
const auto end = std::chrono::steady_clock::now();
float elapsed_seconds =
std::chrono::duration_cast<std::chrono::milliseconds>(end - begin)
.count() /
1000.;
is_ok = sherpa_onnx::WriteWave(
output_vocals_wave, output.sample_rate, output.stems[0].data[0].data(),
output.stems[0].data[1].data(), output.stems[0].data[0].size());
if (!is_ok) {
fprintf(stderr, "Failed to write to '%s'\n", output_vocals_wave.c_str());
exit(EXIT_FAILURE);
}
is_ok = sherpa_onnx::WriteWave(output_accompaniment_wave, output.sample_rate,
output.stems[1].data[0].data(),
output.stems[1].data[1].data(),
output.stems[1].data[0].size());
if (!is_ok) {
fprintf(stderr, "Failed to write to '%s'\n",
output_accompaniment_wave.c_str());
exit(EXIT_FAILURE);
}
fprintf(stderr, "Done\n");
fprintf(stderr, "Saved to write to '%s' and '%s'\n",
output_vocals_wave.c_str(), output_accompaniment_wave.c_str());
float duration =
input.samples.data[0].size() / static_cast<float>(input.sample_rate);
fprintf(stderr, "num threads: %d\n", config.model.num_threads);
fprintf(stderr, "Elapsed seconds: %.3f s\n", elapsed_seconds);
float rtf = elapsed_seconds / duration;
fprintf(stderr, "Real time factor (RTF): %.3f / %.3f = %.3f\n",
elapsed_seconds, duration, rtf);
return 0;
}