Use alsa to read microphone in speaker identification demo. (#605)
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// sherpa-onnx/csrc/sherpa-onnx-alsa-offline-speaker-identification.cc
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//
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// Copyright (c) 2024 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 <fstream>
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#include <mutex> // NOLINT
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#include <sstream>
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#include <thread> // NOLINT
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#include "sherpa-onnx/csrc/alsa.h"
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#include "sherpa-onnx/csrc/macros.h"
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#include "sherpa-onnx/csrc/microphone.h"
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#include "sherpa-onnx/csrc/speaker-embedding-extractor.h"
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#include "sherpa-onnx/csrc/speaker-embedding-manager.h"
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#include "sherpa-onnx/csrc/wave-reader.h"
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enum class State {
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kIdle,
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kRecording,
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kComputing,
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};
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State state = State::kIdle;
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// true to stop the program and exit
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bool stop = false;
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std::vector<float> samples;
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std::mutex samples_mutex;
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static void DetectKeyPress() {
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SHERPA_ONNX_LOGE("\nPress Enter to start");
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int32_t key;
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while (!stop && (key = getchar())) {
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if (key != 0x0a) {
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continue;
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}
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switch (state) {
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case State::kIdle:
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SHERPA_ONNX_LOGE("\nStart recording. Press Enter to stop recording");
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state = State::kRecording;
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{
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std::lock_guard<std::mutex> lock(samples_mutex);
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samples.clear();
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}
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break;
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case State::kRecording:
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SHERPA_ONNX_LOGE("\nStop recording. Computing ...");
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state = State::kComputing;
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break;
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case State::kComputing:
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break;
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}
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}
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}
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static void Record(const char *device_name, int32_t expected_sample_rate) {
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sherpa_onnx::Alsa alsa(device_name);
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if (alsa.GetExpectedSampleRate() != expected_sample_rate) {
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fprintf(stderr, "sample rate: %d != %d\n", alsa.GetExpectedSampleRate(),
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expected_sample_rate);
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exit(-1);
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}
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int32_t chunk = 0.1 * alsa.GetActualSampleRate();
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while (!stop) {
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std::lock_guard<std::mutex> lock(samples_mutex);
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const std::vector<float> &s = alsa.Read(chunk);
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samples.insert(samples.end(), s.begin(), s.end());
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}
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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. Press Enter to exit\n");
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}
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static std::vector<std::vector<float>> ComputeEmbeddings(
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const std::vector<std::string> &filenames,
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sherpa_onnx::SpeakerEmbeddingExtractor *extractor) {
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std::vector<std::vector<float>> embedding_list;
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embedding_list.reserve(filenames.size());
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for (const auto &f : filenames) {
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int32_t sampling_rate = -1;
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bool is_ok = false;
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const std::vector<float> samples =
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sherpa_onnx::ReadWave(f, &sampling_rate, &is_ok);
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if (!is_ok) {
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fprintf(stderr, "Failed to read %s\n", f.c_str());
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exit(-1);
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}
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auto s = extractor->CreateStream();
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s->AcceptWaveform(sampling_rate, samples.data(), samples.size());
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s->InputFinished();
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auto embedding = extractor->Compute(s.get());
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embedding_list.push_back(embedding);
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}
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return embedding_list;
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}
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static std::unordered_map<std::string, std::vector<std::string>>
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ReadSpeakerFile(const std::string &filename) {
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std::unordered_map<std::string, std::vector<std::string>> ans;
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std::ifstream is(filename);
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if (!is) {
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fprintf(stderr, "Failed to open %s", filename.c_str());
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exit(0);
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}
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std::string line;
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std::string name;
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std::string path;
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while (std::getline(is, line)) {
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std::istringstream iss(line);
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name.clear();
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path.clear();
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iss >> name >> path;
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if (!iss || !iss.eof() || name.empty() || path.empty()) {
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fprintf(stderr, "Invalid line: %s\n", line.c_str());
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exit(-1);
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}
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ans[name].push_back(path);
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}
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return ans;
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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 non-streaming speaker identification.
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Usage:
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(1) Prepare a text file containing speaker related files.
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Each line in the text file contains two columns. The first column is the
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speaker name, while the second column contains the wave file of the speaker.
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If the text file contains multiple wave files for the same speaker, then the
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embeddings of these files are averaged.
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An example text file is given below:
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foo /path/to/a.wav
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bar /path/to/b.wav
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foo /path/to/c.wav
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foobar /path/to/d.wav
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Each wave file should contain only a single channel; the sample format
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should be int16_t; the sample rate can be arbitrary.
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(2) Download a model for computing speaker embeddings
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Please visit
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https://github.com/k2-fsa/sherpa-onnx/releases/tag/speaker-recongition-models
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to download a model. An example is given below:
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wget https://github.com/k2-fsa/sherpa-onnx/releases/download/speaker-recongition-models/wespeaker_zh_cnceleb_resnet34.onnx
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Note that `zh` means Chinese, while `en` means English.
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(3) Run it !
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./bin/sherpa-onnx-alsa-offline-speaker-identification \
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--model=/path/to/your-model.onnx \
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--speaker-file=/path/to/speaker.txt \
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device_name
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The device name specifies which microphone to use in case there are several
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on your system. You can use
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arecord -l
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to find all available microphones on your computer. For instance, if it outputs
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**** List of CAPTURE Hardware Devices ****
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card 3: UACDemoV10 [UACDemoV1.0], device 0: USB Audio [USB Audio]
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Subdevices: 1/1
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Subdevice #0: subdevice #0
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and if you want to select card 3 and the device 0 on that card, please use:
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plughw:3,0
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as the device_name.
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)usage";
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sherpa_onnx::ParseOptions po(kUsageMessage);
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float threshold = 0.5;
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std::string speaker_file;
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po.Register("threshold", &threshold,
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"Threshold for comparing embedding scores.");
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po.Register("speaker-file", &speaker_file, "Path to speaker.txt");
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sherpa_onnx::SpeakerEmbeddingExtractorConfig config;
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config.Register(&po);
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po.Read(argc, argv);
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if (po.NumArgs() != 1) {
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fprintf(stderr, "Please provide only 1 argument: the device name\n");
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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! Please use --help to view the usage.\n");
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return -1;
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}
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SHERPA_ONNX_LOGE("\nCreating extractor ...");
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sherpa_onnx::SpeakerEmbeddingExtractor extractor(config);
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SHERPA_ONNX_LOGE("\nextractor created!");
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sherpa_onnx::SpeakerEmbeddingManager manager(extractor.Dim());
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auto name2files = ReadSpeakerFile(speaker_file);
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for (const auto &p : name2files) {
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SHERPA_ONNX_LOGE("\nProcessing speaker %s", p.first.c_str());
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auto embedding_list = ComputeEmbeddings(p.second, &extractor);
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manager.Add(p.first, embedding_list);
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}
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std::string device_name = po.GetArg(1);
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fprintf(stderr, "Use recording device: %s\n", device_name.c_str());
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int32_t sample_rate = 16000;
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std::thread t(DetectKeyPress);
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std::thread t2(Record, device_name.c_str(), sample_rate);
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while (!stop) {
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switch (state) {
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case State::kIdle:
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break;
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case State::kRecording:
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break;
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case State::kComputing: {
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std::vector<float> buf;
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{
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std::lock_guard<std::mutex> lock(samples_mutex);
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buf = std::move(samples);
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}
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auto s = extractor.CreateStream();
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s->AcceptWaveform(sample_rate, buf.data(), buf.size());
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s->InputFinished();
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auto embedding = extractor.Compute(s.get());
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auto name = manager.Search(embedding.data(), threshold);
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if (name.empty()) {
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name = "--Unknown--";
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}
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SHERPA_ONNX_LOGE("\nDone!\nDetected speaker is: %s", name.c_str());
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state = State::kIdle;
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SHERPA_ONNX_LOGE("\nPress Enter to start");
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break;
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}
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}
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using namespace std::chrono_literals;
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std::this_thread::sleep_for(20ms); // sleep for 20ms
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}
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t.join();
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t2.join();
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return 0;
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}
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