Remove rnn_vad_tool.cc that contains main().
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6e37f37c4e
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@ -215,19 +215,4 @@ if (rtc_include_tests) {
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deps += [ ":unittests_bundle_data" ]
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}
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}
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rtc_executable("rnn_vad_tool") {
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testonly = true
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sources = [ "rnn_vad_tool.cc" ]
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deps = [
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":rnn_vad",
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":rnn_vad_common",
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"../../../../api:array_view",
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"../../../../common_audio",
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"../../../../rtc_base:rtc_base_approved",
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"../../../../test:test_support",
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"//third_party/abseil-cpp/absl/flags:flag",
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"//third_party/abseil-cpp/absl/flags:parse",
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]
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}
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}
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@ -1,120 +0,0 @@
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/*
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* Copyright (c) 2018 The WebRTC project authors. All Rights Reserved.
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*
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* Use of this source code is governed by a BSD-style license
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* that can be found in the LICENSE file in the root of the source
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* tree. An additional intellectual property rights grant can be found
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* in the file PATENTS. All contributing project authors may
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* be found in the AUTHORS file in the root of the source tree.
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*/
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#include <array>
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#include <string>
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#include <vector>
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#include "absl/flags/flag.h"
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#include "absl/flags/parse.h"
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#include "common_audio/resampler/push_sinc_resampler.h"
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#include "common_audio/wav_file.h"
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#include "modules/audio_processing/agc2/rnn_vad/common.h"
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#include "modules/audio_processing/agc2/rnn_vad/features_extraction.h"
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#include "modules/audio_processing/agc2/rnn_vad/rnn.h"
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#include "rtc_base/logging.h"
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ABSL_FLAG(std::string, i, "", "Path to the input wav file");
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ABSL_FLAG(std::string, f, "", "Path to the output features file");
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ABSL_FLAG(std::string, o, "", "Path to the output VAD probabilities file");
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namespace webrtc {
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namespace rnn_vad {
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namespace test {
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int main(int argc, char* argv[]) {
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absl::ParseCommandLine(argc, argv);
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rtc::LogMessage::LogToDebug(rtc::LS_INFO);
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// Open wav input file and check properties.
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const std::string input_wav_file = absl::GetFlag(FLAGS_i);
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WavReader wav_reader(input_wav_file);
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if (wav_reader.num_channels() != 1) {
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RTC_LOG(LS_ERROR) << "Only mono wav files are supported";
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return 1;
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}
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if (wav_reader.sample_rate() % 100 != 0) {
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RTC_LOG(LS_ERROR) << "The sample rate rate must allow 10 ms frames.";
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return 1;
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}
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RTC_LOG(LS_INFO) << "Input sample rate: " << wav_reader.sample_rate();
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// Init output files.
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const std::string output_vad_probs_file = absl::GetFlag(FLAGS_o);
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FILE* vad_probs_file = fopen(output_vad_probs_file.c_str(), "wb");
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FILE* features_file = nullptr;
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const std::string output_feature_file = absl::GetFlag(FLAGS_f);
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if (!output_feature_file.empty()) {
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features_file = fopen(output_feature_file.c_str(), "wb");
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}
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// Initialize.
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const size_t frame_size_10ms =
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rtc::CheckedDivExact(wav_reader.sample_rate(), 100);
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std::vector<float> samples_10ms;
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samples_10ms.resize(frame_size_10ms);
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std::array<float, kFrameSize10ms24kHz> samples_10ms_24kHz;
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PushSincResampler resampler(frame_size_10ms, kFrameSize10ms24kHz);
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FeaturesExtractor features_extractor;
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std::array<float, kFeatureVectorSize> feature_vector;
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RnnBasedVad rnn_vad;
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// Compute VAD probabilities.
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while (true) {
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// Read frame at the input sample rate.
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const auto read_samples =
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wav_reader.ReadSamples(frame_size_10ms, samples_10ms.data());
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if (read_samples < frame_size_10ms) {
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break; // EOF.
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}
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// Resample input.
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resampler.Resample(samples_10ms.data(), samples_10ms.size(),
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samples_10ms_24kHz.data(), samples_10ms_24kHz.size());
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// Extract features and feed the RNN.
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bool is_silence = features_extractor.CheckSilenceComputeFeatures(
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samples_10ms_24kHz, feature_vector);
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float vad_probability =
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rnn_vad.ComputeVadProbability(feature_vector, is_silence);
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// Write voice probability.
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RTC_DCHECK_GE(vad_probability, 0.f);
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RTC_DCHECK_GE(1.f, vad_probability);
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fwrite(&vad_probability, sizeof(float), 1, vad_probs_file);
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// Write features.
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if (features_file) {
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const float float_is_silence = is_silence ? 1.f : 0.f;
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fwrite(&float_is_silence, sizeof(float), 1, features_file);
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if (is_silence) {
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// Do not write uninitialized values.
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feature_vector.fill(0.f);
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}
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fwrite(feature_vector.data(), sizeof(float), kFeatureVectorSize,
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features_file);
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}
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}
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// Close output file(s).
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fclose(vad_probs_file);
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RTC_LOG(LS_INFO) << "VAD probabilities written to " << output_vad_probs_file;
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if (features_file) {
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fclose(features_file);
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RTC_LOG(LS_INFO) << "features written to " << output_feature_file;
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}
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return 0;
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}
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} // namespace test
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} // namespace rnn_vad
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} // namespace webrtc
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int main(int argc, char* argv[]) {
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return webrtc::rnn_vad::test::main(argc, argv);
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}
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@ -88,7 +88,6 @@ webrtc_audio_processing_sources = [
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'agc2/rnn_vad/pitch_search.cc',
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'agc2/rnn_vad/pitch_search_internal.cc',
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'agc2/rnn_vad/rnn.cc',
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'agc2/rnn_vad/rnn_vad_tool.cc',
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'agc2/rnn_vad/spectral_features.cc',
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'agc2/rnn_vad/spectral_features_internal.cc',
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'agc2/saturation_protector.cc',
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