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