Save APKs for each release in a separate directory. Huggingface requires that each directory cannot contain more than 1000 files. Since we have so many tts models and for each model we need to build APKs of 4 different ABIs, it is a workaround for the huggingface's constraint by placing them into separate directories for different releases.
213 lines
6.3 KiB
C++
213 lines
6.3 KiB
C++
// sherpa-onnx/csrc/sherpa-onnx-vad-microphone.cc
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//
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// Copyright (c) 2022-2023 Xiaomi Corporation
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#include <signal.h>
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#include <stdio.h>
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#include <stdlib.h>
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#include <algorithm>
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#include <mutex> // NOLINT
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#include "portaudio.h" // NOLINT
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#include "sherpa-onnx/csrc/circular-buffer.h"
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#include "sherpa-onnx/csrc/microphone.h"
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#include "sherpa-onnx/csrc/resample.h"
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#include "sherpa-onnx/csrc/voice-activity-detector.h"
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#include "sherpa-onnx/csrc/wave-writer.h"
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bool stop = false;
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std::mutex mutex;
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sherpa_onnx::CircularBuffer buffer(16000 * 60);
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static int32_t RecordCallback(const void *input_buffer,
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void * /*output_buffer*/,
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unsigned long frames_per_buffer, // NOLINT
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const PaStreamCallbackTimeInfo * /*time_info*/,
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PaStreamCallbackFlags /*status_flags*/,
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void * /*user_data*/) {
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std::lock_guard<std::mutex> lock(mutex);
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buffer.Push(reinterpret_cast<const float *>(input_buffer), frames_per_buffer);
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return stop ? paComplete : paContinue;
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}
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static void Handler(int32_t /*sig*/) {
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stop = true;
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fprintf(stderr, "\nCaught Ctrl + C. Exiting...\n");
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}
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int32_t main(int32_t argc, char *argv[]) {
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signal(SIGINT, Handler);
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const char *kUsageMessage = R"usage(
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This program shows how to use VAD in sherpa-onnx.
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./bin/sherpa-onnx-vad-microphone \
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--silero-vad-model=/path/to/silero_vad.onnx \
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--vad-provider=cpu \
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--vad-num-threads=1
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Please download silero_vad.onnx from
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https://github.com/snakers4/silero-vad/raw/master/src/silero_vad/data/silero_vad.onnx
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For instance, use
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wget https://github.com/snakers4/silero-vad/raw/master/src/silero_vad/data/silero_vad.onnx
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)usage";
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sherpa_onnx::ParseOptions po(kUsageMessage);
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sherpa_onnx::VadModelConfig config;
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config.Register(&po);
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po.Read(argc, argv);
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if (po.NumArgs() != 0) {
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po.PrintUsage();
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exit(EXIT_FAILURE);
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}
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fprintf(stderr, "%s\n", config.ToString().c_str());
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if (!config.Validate()) {
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fprintf(stderr, "Errors in config!\n");
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return -1;
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}
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sherpa_onnx::Microphone mic;
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PaDeviceIndex num_devices = Pa_GetDeviceCount();
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fprintf(stderr, "Num devices: %d\n", num_devices);
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int32_t device_index = Pa_GetDefaultInputDevice();
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if (device_index == paNoDevice) {
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fprintf(stderr, "No default input device found\n");
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fprintf(stderr, "If you are using Linux, please switch to \n");
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fprintf(stderr, " ./bin/sherpa-onnx-vad-alsa \n");
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exit(EXIT_FAILURE);
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}
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const char *pDeviceIndex = std::getenv("SHERPA_ONNX_MIC_DEVICE");
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if (pDeviceIndex) {
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fprintf(stderr, "Use specified device: %s\n", pDeviceIndex);
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device_index = atoi(pDeviceIndex);
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}
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for (int32_t i = 0; i != num_devices; ++i) {
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const PaDeviceInfo *info = Pa_GetDeviceInfo(i);
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fprintf(stderr, " %s %d %s\n", (i == device_index) ? "*" : " ", i,
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info->name);
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}
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PaStreamParameters param;
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param.device = device_index;
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fprintf(stderr, "Use device: %d\n", param.device);
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const PaDeviceInfo *info = Pa_GetDeviceInfo(param.device);
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fprintf(stderr, " Name: %s\n", info->name);
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fprintf(stderr, " Max input channels: %d\n", info->maxInputChannels);
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param.channelCount = 1;
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param.sampleFormat = paFloat32;
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param.suggestedLatency = info->defaultLowInputLatency;
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param.hostApiSpecificStreamInfo = nullptr;
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float mic_sample_rate = 16000;
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const char *pSampleRateStr = std::getenv("SHERPA_ONNX_MIC_SAMPLE_RATE");
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if (pSampleRateStr) {
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fprintf(stderr, "Use sample rate %f for mic\n", mic_sample_rate);
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mic_sample_rate = atof(pSampleRateStr);
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}
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float sample_rate = 16000;
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std::unique_ptr<sherpa_onnx::LinearResample> resampler;
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if (mic_sample_rate != sample_rate) {
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float min_freq = std::min(mic_sample_rate, sample_rate);
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float lowpass_cutoff = 0.99 * 0.5 * min_freq;
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int32_t lowpass_filter_width = 6;
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resampler = std::make_unique<sherpa_onnx::LinearResample>(
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mic_sample_rate, sample_rate, lowpass_cutoff, lowpass_filter_width);
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}
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PaStream *stream;
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PaError err =
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Pa_OpenStream(&stream, ¶m, nullptr, /* &outputParameters, */
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mic_sample_rate,
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0, // frames per buffer
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paClipOff, // we won't output out of range samples
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// so don't bother clipping them
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RecordCallback, nullptr);
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if (err != paNoError) {
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fprintf(stderr, "portaudio error: %s\n", Pa_GetErrorText(err));
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exit(EXIT_FAILURE);
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}
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err = Pa_StartStream(stream);
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auto vad = std::make_unique<sherpa_onnx::VoiceActivityDetector>(config);
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fprintf(stderr, "Started\n");
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if (err != paNoError) {
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fprintf(stderr, "portaudio error: %s\n", Pa_GetErrorText(err));
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exit(EXIT_FAILURE);
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}
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int32_t window_size = config.silero_vad.window_size;
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bool printed = false;
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int32_t k = 0;
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while (!stop) {
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{
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std::lock_guard<std::mutex> lock(mutex);
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while (buffer.Size() >= window_size) {
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std::vector<float> samples = buffer.Get(buffer.Head(), window_size);
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buffer.Pop(window_size);
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if (resampler) {
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std::vector<float> tmp;
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resampler->Resample(samples.data(), samples.size(), true, &tmp);
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samples = std::move(tmp);
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}
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vad->AcceptWaveform(samples.data(), samples.size());
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if (vad->IsSpeechDetected() && !printed) {
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printed = true;
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fprintf(stderr, "\nDetected speech!\n");
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}
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if (!vad->IsSpeechDetected()) {
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printed = false;
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}
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while (!vad->Empty()) {
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const auto &segment = vad->Front();
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float duration = segment.samples.size() / sample_rate;
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fprintf(stderr, "Duration: %.3f seconds\n", duration);
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char filename[128];
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snprintf(filename, sizeof(filename), "seg-%d-%.3fs.wav", k, duration);
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k += 1;
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sherpa_onnx::WriteWave(filename, sample_rate, segment.samples.data(),
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segment.samples.size());
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fprintf(stderr, "Saved to %s\n", filename);
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fprintf(stderr, "----------\n");
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vad->Pop();
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}
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}
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}
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Pa_Sleep(100); // sleep for 100ms
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}
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err = Pa_CloseStream(stream);
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if (err != paNoError) {
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fprintf(stderr, "portaudio error: %s\n", Pa_GetErrorText(err));
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exit(EXIT_FAILURE);
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}
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return 0;
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}
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