219 lines
6.2 KiB
C++
219 lines
6.2 KiB
C++
// sherpa-onnx/csrc/sherpa-onnx-tts-play-alsa.cc
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//
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// Copyright (c) 2022-2023 Xiaomi Corporation
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// see https://www.alsa-project.org/alsa-doc/alsa-lib/group___p_c_m.html
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// https://www.alsa-project.org/alsa-doc/alsa-lib/group___p_c_m___h_w___params.html
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// https://www.alsa-project.org/alsa-doc/alsa-lib/group___p_c_m.html
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#include <signal.h>
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#include <algorithm>
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#include <chrono> // NOLINT
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#include <condition_variable> // NOLINT
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#include <fstream>
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#include <mutex> // NOLINT
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#include <queue>
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#include <thread> // NOLINT
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#include <vector>
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#include "sherpa-onnx/csrc/alsa-play.h"
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#include "sherpa-onnx/csrc/offline-tts.h"
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#include "sherpa-onnx/csrc/parse-options.h"
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#include "sherpa-onnx/csrc/wave-writer.h"
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static std::condition_variable g_cv;
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static std::mutex g_cv_m;
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struct Buffer {
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std::queue<std::vector<float>> samples;
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std::mutex mutex;
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};
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static Buffer g_buffer;
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static bool g_stopped = false;
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static bool g_killed = false;
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static void Handler(int32_t /*sig*/) {
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if (g_killed) {
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exit(0);
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}
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g_killed = true;
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fprintf(stderr, "\nCaught Ctrl + C. Exiting\n");
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}
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static void AudioGeneratedCallback(const float *s, int32_t n) {
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if (n > 0) {
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std::lock_guard<std::mutex> lock(g_buffer.mutex);
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g_buffer.samples.push({s, s + n});
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g_cv.notify_all();
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}
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}
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static void StartPlayback(const std::string &device_name, int32_t sample_rate) {
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sherpa_onnx::AlsaPlay alsa(device_name.c_str(), sample_rate);
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std::unique_lock<std::mutex> lock(g_cv_m);
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while (!g_killed && !g_stopped) {
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while (!g_buffer.samples.empty()) {
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auto &p = g_buffer.samples.front();
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alsa.Play(p);
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g_buffer.samples.pop();
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}
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g_cv.wait(lock);
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}
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if (g_killed) {
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return;
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}
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if (g_stopped) {
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while (!g_buffer.samples.empty()) {
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auto &p = g_buffer.samples.front();
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alsa.Play(p);
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g_buffer.samples.pop();
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}
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}
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alsa.Drain();
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}
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int 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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Offline text-to-speech with sherpa-onnx.
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It plays the generated audio as the model is processing.
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Note that it is alsa so it works only on **Linux**. For instance, you can
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use it on Raspberry Pi.
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Usage example:
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wget https://github.com/k2-fsa/sherpa-onnx/releases/download/tts-models/vits-piper-en_US-amy-low.tar.bz2
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tar xf vits-piper-en_US-amy-low.tar.bz2
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./bin/sherpa-onnx-offline-tts-play-alsa \
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--vits-model=./vits-piper-en_US-amy-low/en_US-amy-low.onnx \
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--vits-tokens=./vits-piper-en_US-amy-low/tokens.txt \
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--vits-data-dir=./vits-piper-en_US-amy-low/espeak-ng-data \
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--output-filename=./generated.wav \
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"Today as always, men fall into two groups: slaves and free men. Whoever does not have two-thirds of his day for himself, is a slave, whatever he may be: a statesman, a businessman, an official, or a scholar."
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It will generate a file ./generated.wav as specified by --output-filename.
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You can find more models at
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https://github.com/k2-fsa/sherpa-onnx/releases/tag/tts-models
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Please see
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https://k2-fsa.github.io/sherpa/onnx/tts/index.html
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or details.
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)usage";
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sherpa_onnx::ParseOptions po(kUsageMessage);
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std::string device_name = "default";
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std::string output_filename = "./generated.wav";
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int32_t sid = 0;
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po.Register("output-filename", &output_filename,
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"Path to save the generated audio");
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po.Register("device-name", &device_name,
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"Name of the device to play the generated audio");
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po.Register("sid", &sid,
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"Speaker ID. Used only for multi-speaker models, e.g., models "
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"trained using the VCTK dataset. Not used for single-speaker "
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"models, e.g., models trained using the LJSpeech dataset");
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sherpa_onnx::OfflineTtsConfig 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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fprintf(stderr, "Error: Please provide the text to generate audio.\n\n");
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po.PrintUsage();
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exit(EXIT_FAILURE);
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}
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if (po.NumArgs() > 1) {
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fprintf(stderr,
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"Error: Accept only one positional argument. Please use single "
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"quotes to wrap your text\n");
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po.PrintUsage();
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exit(EXIT_FAILURE);
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}
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if (!config.Validate()) {
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fprintf(stderr, "Errors in config!\n");
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exit(EXIT_FAILURE);
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}
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if (config.max_num_sentences != 1) {
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fprintf(stderr, "Setting config.max_num_sentences to 1\n");
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config.max_num_sentences = 1;
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}
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fprintf(stderr, "Loading the model\n");
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sherpa_onnx::OfflineTts tts(config);
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fprintf(stderr, "Start the playback thread\n");
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std::thread playback_thread(StartPlayback, device_name, tts.SampleRate());
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float speed = 1.0;
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fprintf(stderr, "Generating ...\n");
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const auto begin = std::chrono::steady_clock::now();
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auto audio = tts.Generate(po.GetArg(1), sid, speed, AudioGeneratedCallback);
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const auto end = std::chrono::steady_clock::now();
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g_stopped = true;
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g_cv.notify_all();
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fprintf(stderr, "Generating done!\n");
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if (audio.samples.empty()) {
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fprintf(
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stderr,
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"Error in generating audio. Please read previous error messages.\n");
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exit(EXIT_FAILURE);
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}
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float elapsed_seconds =
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std::chrono::duration_cast<std::chrono::milliseconds>(end - begin)
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.count() /
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1000.;
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float duration = audio.samples.size() / static_cast<float>(audio.sample_rate);
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float rtf = elapsed_seconds / duration;
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fprintf(stderr, "Elapsed seconds: %.3f s\n", elapsed_seconds);
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fprintf(stderr, "Audio duration: %.3f s\n", duration);
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fprintf(stderr, "Real-time factor (RTF): %.3f/%.3f = %.3f\n", elapsed_seconds,
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duration, rtf);
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bool ok = sherpa_onnx::WriteWave(output_filename, audio.sample_rate,
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audio.samples.data(), audio.samples.size());
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if (!ok) {
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fprintf(stderr, "Failed to write wave to %s\n", output_filename.c_str());
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exit(EXIT_FAILURE);
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}
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fprintf(stderr, "The text is: %s. Speaker ID: %d\n\n", po.GetArg(1).c_str(),
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sid);
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fprintf(stderr, "\n**** Saved to %s successfully! ****\n",
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output_filename.c_str());
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fprintf(stderr, "\n");
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fprintf(
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stderr,
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"Wait for the playback to finish. You can safely press ctrl + C to stop "
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"the playback.\n");
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playback_thread.join();
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fprintf(stderr, "Done!\n");
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return 0;
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}
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