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#include <iostream>
#include "Voice.h"
#define LOGF(txt) std::cout << txt << "\n"
#include "phonemizer.h"
#include "ext/ZCharScanner.h"
#include <algorithm>
#include <cctype>
#include <string>
#include "ext/cxxopts.hpp"
std::vector<std::string> GetTxtFile(const std::string& InFn) {
std::vector<std::string> Ret;
std::ifstream InFile(InFn);
if (!InFile.good())
return Ret;
std::string Line;
while (std::getline(InFile, Line))
{
Ret.push_back(Line);
}
InFile.close();
return Ret;
}
std::vector<std::string> SuperWordSplit(const std::string& InStr, int MaxLen)
{
ZStringDelimiter Del1(InStr);
Del1.AddDelimiter(" ");
std::vector<std::string> RawWords = Del1.GetTokens();
int AmtWords = RawWords.size();
int Idx = 0;
std::string CurrentStr = "";
std::vector<std::string> SplitStrs;
while (Idx < AmtWords)
{
if (CurrentStr.size() > 0)
CurrentStr.append(" ");
std::string CuWord = RawWords[Idx];
// phonetic input has to be uppercase
if (CuWord.find("@") == std::string::npos)
{
std::transform(CuWord.begin(), CuWord.end(), CuWord.begin(),
[](unsigned char c) { return std::tolower(c); });
}
CurrentStr.append(CuWord);
if (CurrentStr.length() > MaxLen) {
SplitStrs.push_back(CurrentStr);
CurrentStr = "";
}
Idx += 1;
// Add the last string
if (Idx == AmtWords)
SplitStrs.push_back(CurrentStr);
}
return SplitStrs;
}
int main(int argc, char* argv[])
{
cxxopts::Options options("TFTTSInfer", "Inference with TensorflowTTS models in command line");
options.add_options()
("v,voice", "Path to the voice folder", cxxopts::value<std::string>()->default_value("LJ")) // a bool parameter
("l,language", "Path to the language folder for G2P", cxxopts::value<std::string>()->default_value("g2p/English"))
("o,output", "Name of .wav file output of all infers", cxxopts::value<std::string>()->default_value("AllAud.wav"))
("m,maxlen", "Optional, max length of split for TTS. Default is 180", cxxopts::value<int>()->default_value("180"))
;
auto Args = options.parse(argc, argv);
std::string Name = Args["voice"].as<std::string>();
std::string Lang = Args["language"].as<std::string>();
std::string OutputFileName = Args["output"].as<std::string>();
int MaxLen = Args["maxlen"].as<int>();
if (OutputFileName.find(".wav") == std::string::npos)
OutputFileName += ".wav";
LOGF("Loading voice...");
// Load phonemizer
Phonemizer StdPh;
bool G2pInit = StdPh.Initialize(Lang);
if (!G2pInit) {
LOGF("Could not initialize language and/or G2P model! See if the path is correct and try again!");
return -2;
}
// Load the voice itself
Voice CurrentVox(Name,Name,&StdPh);
std::vector<float> AllAud;
// Begin interactive console
bool Running = true;
while (Running)
{
std::string Prompt = "";
LOGF("Type a prompt, or type EXIT to exit ");
std::getline(std::cin, Prompt);
if (Prompt == "EXIT") {
Running = false;
break;
}
std::vector<float> Audata;
// Split the prompt into chunks (if the user inputs like that)
for (const auto& Spli : SuperWordSplit(Prompt, MaxLen)) {
std::vector<float> ImmediateAudata = CurrentVox.Vocalize(Prompt + CurrentVox.GetInfo().EndPadding);
// Insert the audio data to the end of the mid-level audata vector
Audata.insert(Audata.end(), ImmediateAudata.begin(), ImmediateAudata.end());
}
std::string Filename = Prompt.substr(0, std::min(16, (int)Prompt.size())) + ".wav";
VoxUtil::ExportWAV(Filename, Audata, CurrentVox.GetInfo().SampleRate);
// Insert the audio into the AllAud vector
AllAud.insert(AllAud.end(), Audata.begin(), Audata.end());
LOGF("Saved to " + Filename);
}
// Export all the audio
VoxUtil::ExportWAV(OutputFileName, AllAud, CurrentVox.GetInfo().SampleRate);
LOGF("Saved ALL to " + OutputFileName);
std::cout << "Hello TensorflowTTS!\n";
return 0;
}
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