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First working version with libpiper_phonemize
This commit is contained in:
Michael Hansen
393
src/cpp/piper.cpp
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393
src/cpp/piper.cpp
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#include <array>
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#include <chrono>
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#include <fstream>
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#include <limits>
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#include <stdexcept>
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#include <espeak-ng/speak_lib.h>
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#include <onnxruntime_cxx_api.h>
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#include "piper.hpp"
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#include "utf8.h"
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#include "wavfile.hpp"
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namespace piper {
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// Maximum value for 16-bit signed WAV sample
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const float MAX_WAV_VALUE = 32767.0f;
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const std::string instanceName{"piper"};
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bool isSingleCodepoint(std::string s) {
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return utf8::distance(s.begin(), s.end()) == 1;
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}
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Phoneme getCodepoint(std::string s) {
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utf8::iterator character_iter(s.begin(), s.begin(), s.end());
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return *character_iter;
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}
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void parsePhonemizeConfig(json &configRoot, PhonemizeConfig &phonemizeConfig) {
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if (configRoot.contains("espeak")) {
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if (!phonemizeConfig.eSpeak) {
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phonemizeConfig.eSpeak.emplace();
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}
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auto espeakValue = configRoot["espeak"];
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if (espeakValue.contains("voice")) {
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phonemizeConfig.eSpeak->voice = espeakValue["voice"].get<std::string>();
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}
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}
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if (configRoot.contains("phoneme_type")) {
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auto phonemeTypeStr = configRoot["phoneme_type"].get<std::string>();
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if (phonemeTypeStr == "text") {
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phonemizeConfig.phonemeType = TextPhonemes;
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}
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}
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// phoneme to [phoneme] map
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if (configRoot.contains("phoneme_map")) {
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if (!phonemizeConfig.phonemeMap) {
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phonemizeConfig.phonemeMap.emplace();
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}
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auto phonemeMapValue = configRoot["phoneme_map"];
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for (auto &fromPhonemeItem : phonemeMapValue.items()) {
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std::string fromPhoneme = fromPhonemeItem.key();
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if (!isSingleCodepoint(fromPhoneme)) {
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throw std::runtime_error(
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"Phonemes must be one codepoint (phoneme map)");
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}
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auto fromCodepoint = getCodepoint(fromPhoneme);
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for (auto &toPhonemeValue : fromPhonemeItem.value()) {
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std::string toPhoneme = toPhonemeValue.get<std::string>();
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if (!isSingleCodepoint(toPhoneme)) {
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throw std::runtime_error(
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"Phonemes must be one codepoint (phoneme map)");
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}
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auto toCodepoint = getCodepoint(toPhoneme);
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(*phonemizeConfig.phonemeMap)[fromCodepoint].push_back(toCodepoint);
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}
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}
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}
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// phoneme to [id] map
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if (configRoot.contains("phoneme_id_map")) {
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auto phonemeIdMapValue = configRoot["phoneme_id_map"];
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for (auto &fromPhonemeItem : phonemeIdMapValue.items()) {
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std::string fromPhoneme = fromPhonemeItem.key();
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if (!isSingleCodepoint(fromPhoneme)) {
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throw std::runtime_error(
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"Phonemes must be one codepoint (phoneme id map)");
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}
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auto fromCodepoint = getCodepoint(fromPhoneme);
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for (auto &toIdValue : fromPhonemeItem.value()) {
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PhonemeId toId = toIdValue.get<PhonemeId>();
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phonemizeConfig.phonemeIdMap[fromCodepoint].push_back(toId);
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}
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}
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}
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} /* parsePhonemizeConfig */
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void parseSynthesisConfig(json &configRoot, SynthesisConfig &synthesisConfig) {
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if (configRoot.contains("audio")) {
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auto audioValue = configRoot["audio"];
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if (audioValue.contains("sample_rate")) {
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// Default sample rate is 22050 Hz
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synthesisConfig.sampleRate = audioValue.value("sample_rate", 22050);
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}
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}
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} /* parseSynthesisConfig */
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void parseModelConfig(json &configRoot, ModelConfig &modelConfig) {
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modelConfig.numSpeakers = configRoot["num_speakers"].get<SpeakerId>();
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} /* parseModelConfig */
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void initialize(PiperConfig &config) {
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if (config.useESpeak) {
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// Set up espeak-ng for calling espeak_TextToPhonemesWithTerminator
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// See: https://github.com/rhasspy/espeak-ng
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int result = espeak_Initialize(AUDIO_OUTPUT_SYNCHRONOUS,
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/*buflength*/ 0,
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/*path*/ config.eSpeakDataPath.c_str(),
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/*options*/ 0);
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if (result < 0) {
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throw std::runtime_error("Failed to initialize eSpeak-ng");
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}
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}
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}
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void terminate(PiperConfig &config) {
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if (config.useESpeak) {
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// Clean up espeak-ng
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espeak_Terminate();
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}
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}
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void loadModel(std::string modelPath, ModelSession &session) {
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session.env = Ort::Env(OrtLoggingLevel::ORT_LOGGING_LEVEL_WARNING,
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instanceName.c_str());
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session.env.DisableTelemetryEvents();
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// Slows down performance by ~2x
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// session.options.SetIntraOpNumThreads(1);
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// Roughly doubles load time for no visible inference benefit
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// session.options.SetGraphOptimizationLevel(
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// GraphOptimizationLevel::ORT_ENABLE_EXTENDED);
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session.options.SetGraphOptimizationLevel(
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GraphOptimizationLevel::ORT_DISABLE_ALL);
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// Slows down performance very slightly
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// session.options.SetExecutionMode(ExecutionMode::ORT_PARALLEL);
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session.options.DisableCpuMemArena();
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session.options.DisableMemPattern();
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session.options.DisableProfiling();
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auto startTime = std::chrono::steady_clock::now();
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session.onnx = Ort::Session(session.env, modelPath.c_str(), session.options);
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auto endTime = std::chrono::steady_clock::now();
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auto loadDuration = std::chrono::duration<double>(endTime - startTime);
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}
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// Load Onnx model and JSON config file
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void loadVoice(PiperConfig &config, std::string modelPath,
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std::string modelConfigPath, Voice &voice,
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std::optional<SpeakerId> &speakerId) {
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std::ifstream modelConfigFile(modelConfigPath);
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voice.configRoot = json::parse(modelConfigFile);
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parsePhonemizeConfig(voice.configRoot, voice.phonemizeConfig);
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parseSynthesisConfig(voice.configRoot, voice.synthesisConfig);
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parseModelConfig(voice.configRoot, voice.modelConfig);
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if (voice.modelConfig.numSpeakers > 1) {
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// Multi-speaker model
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if (speakerId) {
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voice.synthesisConfig.speakerId = speakerId;
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} else {
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// Default speaker
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voice.synthesisConfig.speakerId = 0;
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}
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}
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loadModel(modelPath, voice.session);
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} /* loadVoice */
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// Phoneme ids to WAV audio
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void synthesize(std::vector<PhonemeId> &phonemeIds,
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SynthesisConfig &synthesisConfig, ModelSession &session,
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std::vector<int16_t> &audioBuffer, SynthesisResult &result) {
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auto memoryInfo = Ort::MemoryInfo::CreateCpu(
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OrtAllocatorType::OrtArenaAllocator, OrtMemType::OrtMemTypeDefault);
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// Allocate
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std::vector<int64_t> phonemeIdLengths{(int64_t)phonemeIds.size()};
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std::vector<float> scales{synthesisConfig.noiseScale,
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synthesisConfig.lengthScale,
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synthesisConfig.noiseW};
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std::vector<Ort::Value> inputTensors;
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std::vector<int64_t> phonemeIdsShape{1, (int64_t)phonemeIds.size()};
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inputTensors.push_back(Ort::Value::CreateTensor<int64_t>(
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memoryInfo, phonemeIds.data(), phonemeIds.size(), phonemeIdsShape.data(),
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phonemeIdsShape.size()));
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std::vector<int64_t> phomemeIdLengthsShape{(int64_t)phonemeIdLengths.size()};
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inputTensors.push_back(Ort::Value::CreateTensor<int64_t>(
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memoryInfo, phonemeIdLengths.data(), phonemeIdLengths.size(),
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phomemeIdLengthsShape.data(), phomemeIdLengthsShape.size()));
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std::vector<int64_t> scalesShape{(int64_t)scales.size()};
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inputTensors.push_back(
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Ort::Value::CreateTensor<float>(memoryInfo, scales.data(), scales.size(),
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scalesShape.data(), scalesShape.size()));
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// Add speaker id.
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// NOTE: These must be kept outside the "if" below to avoid being deallocated.
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std::vector<int64_t> speakerId{
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(int64_t)synthesisConfig.speakerId.value_or(0)};
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std::vector<int64_t> speakerIdShape{(int64_t)speakerId.size()};
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if (synthesisConfig.speakerId) {
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inputTensors.push_back(Ort::Value::CreateTensor<int64_t>(
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memoryInfo, speakerId.data(), speakerId.size(), speakerIdShape.data(),
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speakerIdShape.size()));
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}
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// From export_onnx.py
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std::array<const char *, 4> inputNames = {"input", "input_lengths", "scales",
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"sid"};
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std::array<const char *, 1> outputNames = {"output"};
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// Infer
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auto startTime = std::chrono::steady_clock::now();
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auto outputTensors = session.onnx.Run(
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Ort::RunOptions{nullptr}, inputNames.data(), inputTensors.data(),
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inputTensors.size(), outputNames.data(), outputNames.size());
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auto endTime = std::chrono::steady_clock::now();
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if ((outputTensors.size() != 1) || (!outputTensors.front().IsTensor())) {
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throw std::runtime_error("Invalid output tensors");
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}
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auto inferDuration = std::chrono::duration<double>(endTime - startTime);
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result.inferSeconds = inferDuration.count();
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const float *audio = outputTensors.front().GetTensorData<float>();
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auto audioShape =
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outputTensors.front().GetTensorTypeAndShapeInfo().GetShape();
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int64_t audioCount = audioShape[audioShape.size() - 1];
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result.audioSeconds = (double)audioCount / (double)synthesisConfig.sampleRate;
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result.realTimeFactor = 0.0;
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if (result.audioSeconds > 0) {
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result.realTimeFactor = result.inferSeconds / result.audioSeconds;
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}
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// Get max audio value for scaling
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float maxAudioValue = 0.01f;
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for (int64_t i = 0; i < audioCount; i++) {
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float audioValue = abs(audio[i]);
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if (audioValue > maxAudioValue) {
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maxAudioValue = audioValue;
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}
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}
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// We know the size up front
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audioBuffer.reserve(audioCount);
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// Scale audio to fill range and convert to int16
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float audioScale = (MAX_WAV_VALUE / std::max(0.01f, maxAudioValue));
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for (int64_t i = 0; i < audioCount; i++) {
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int16_t intAudioValue = static_cast<int16_t>(
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std::clamp(audio[i] * audioScale,
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static_cast<float>(std::numeric_limits<int16_t>::min()),
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static_cast<float>(std::numeric_limits<int16_t>::max())));
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audioBuffer.push_back(intAudioValue);
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}
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// Clean up
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for (std::size_t i = 0; i < outputTensors.size(); i++) {
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Ort::detail::OrtRelease(outputTensors[i].release());
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}
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for (std::size_t i = 0; i < inputTensors.size(); i++) {
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Ort::detail::OrtRelease(inputTensors[i].release());
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}
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}
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// ----------------------------------------------------------------------------
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// Phonemize text and synthesize audio
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void textToAudio(PiperConfig &config, Voice &voice, std::string text,
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std::vector<int16_t> &audioBuffer, SynthesisResult &result,
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const std::function<void()> &audioCallback) {
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std::size_t sentenceSilenceSamples = 0;
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if (voice.synthesisConfig.sentenceSilenceSeconds > 0) {
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sentenceSilenceSamples = (std::size_t)(
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voice.synthesisConfig.sentenceSilenceSeconds *
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voice.synthesisConfig.sampleRate * voice.synthesisConfig.channels);
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}
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// Phonemes for each sentence
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std::vector<std::vector<Phoneme>> phonemes;
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if (voice.phonemizeConfig.phonemeType == eSpeakPhonemes) {
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// Use espeak-ng for phonemization
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eSpeakPhonemeConfig eSpeakConfig;
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eSpeakConfig.voice = voice.phonemizeConfig.eSpeak->voice;
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phonemize_eSpeak(text, eSpeakConfig, phonemes);
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} else {
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// Use UTF-8 codepoints as "phonemes"
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CodepointsPhonemeConfig codepointsConfig;
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phonemize_codepoints(text, codepointsConfig, phonemes);
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}
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// Synthesize each sentence independently.
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std::vector<PhonemeId> phonemeIds;
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std::map<Phoneme, std::size_t> missingPhonemes;
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for (auto phonemesIter = phonemes.begin(); phonemesIter != phonemes.end();
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++phonemesIter) {
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std::vector<Phoneme> &sentencePhonemes = *phonemesIter;
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SynthesisResult sentenceResult;
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PhonemeIdConfig idConfig;
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if (voice.phonemizeConfig.phonemeType == TextPhonemes) {
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auto &language = voice.phonemizeConfig.eSpeak->voice;
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if (DEFAULT_ALPHABET.count(language) < 1) {
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throw std::runtime_error(
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"Text phoneme language for voice is not supported");
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}
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// Use alphabet for language
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idConfig.phonemeIdMap =
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std::make_shared<PhonemeIdMap>(DEFAULT_ALPHABET[language]);
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}
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// phonemes -> ids
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phonemes_to_ids(sentencePhonemes, idConfig, phonemeIds, missingPhonemes);
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// ids -> audio
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synthesize(phonemeIds, voice.synthesisConfig, voice.session, audioBuffer,
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sentenceResult);
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// Add end of sentence silence
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if (sentenceSilenceSamples > 0) {
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for (std::size_t i = 0; i < sentenceSilenceSamples; i++) {
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audioBuffer.push_back(0);
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}
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}
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if (audioCallback) {
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// Call back must copy audio since it is cleared afterwards.
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audioCallback();
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audioBuffer.clear();
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}
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result.audioSeconds += sentenceResult.audioSeconds;
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result.inferSeconds += sentenceResult.inferSeconds;
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phonemeIds.clear();
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}
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if (result.audioSeconds > 0) {
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result.realTimeFactor = result.inferSeconds / result.audioSeconds;
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}
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} /* textToAudio */
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// Phonemize text and synthesize audio to WAV file
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void textToWavFile(PiperConfig &config, Voice &voice, std::string text,
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std::ostream &audioFile, SynthesisResult &result) {
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std::vector<int16_t> audioBuffer;
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textToAudio(config, voice, text, audioBuffer, result, NULL);
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// Write WAV
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auto synthesisConfig = voice.synthesisConfig;
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writeWavHeader(synthesisConfig.sampleRate, synthesisConfig.sampleWidth,
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synthesisConfig.channels, (int32_t)audioBuffer.size(),
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audioFile);
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audioFile.write((const char *)audioBuffer.data(),
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sizeof(int16_t) * audioBuffer.size());
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} /* textToWavFile */
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} // namespace piper
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