jieba-lexicon.cc
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// sherpa-onnx/csrc/jieba-lexicon.cc
//
// Copyright (c) 2022-2024 Xiaomi Corporation
#include "sherpa-onnx/csrc/jieba-lexicon.h"
#include <fstream>
#include <regex> // NOLINT
#include <utility>
#include "cppjieba/Jieba.hpp"
#include "sherpa-onnx/csrc/file-utils.h"
#include "sherpa-onnx/csrc/macros.h"
#include "sherpa-onnx/csrc/text-utils.h"
namespace sherpa_onnx {
// implemented in ./lexicon.cc
std::unordered_map<std::string, int32_t> ReadTokens(std::istream &is);
std::vector<int32_t> ConvertTokensToIds(
const std::unordered_map<std::string, int32_t> &token2id,
const std::vector<std::string> &tokens);
class JiebaLexicon::Impl {
public:
Impl(const std::string &lexicon, const std::string &tokens,
const std::string &dict_dir,
const OfflineTtsVitsModelMetaData &meta_data, bool debug)
: meta_data_(meta_data), debug_(debug) {
std::string dict = dict_dir + "/jieba.dict.utf8";
std::string hmm = dict_dir + "/hmm_model.utf8";
std::string user_dict = dict_dir + "/user.dict.utf8";
std::string idf = dict_dir + "/idf.utf8";
std::string stop_word = dict_dir + "/stop_words.utf8";
AssertFileExists(dict);
AssertFileExists(hmm);
AssertFileExists(user_dict);
AssertFileExists(idf);
AssertFileExists(stop_word);
jieba_ =
std::make_unique<cppjieba::Jieba>(dict, hmm, user_dict, idf, stop_word);
{
std::ifstream is(tokens);
InitTokens(is);
}
{
std::ifstream is(lexicon);
InitLexicon(is);
}
}
std::vector<std::vector<int64_t>> ConvertTextToTokenIds(
const std::string &text) const {
// see
// https://github.com/Plachtaa/VITS-fast-fine-tuning/blob/main/text/mandarin.py#L244
std::regex punct_re{":|、|;"};
std::string s = std::regex_replace(text, punct_re, ",");
std::regex punct_re2("[.]");
s = std::regex_replace(s, punct_re2, "。");
std::regex punct_re3("[?]");
s = std::regex_replace(s, punct_re3, "?");
std::regex punct_re4("[!]");
s = std::regex_replace(s, punct_re4, "!");
std::vector<std::string> words;
bool is_hmm = true;
jieba_->Cut(text, words, is_hmm);
if (debug_) {
SHERPA_ONNX_LOGE("input text: %s", text.c_str());
SHERPA_ONNX_LOGE("after replacing punctuations: %s", s.c_str());
std::ostringstream os;
std::string sep = "";
for (const auto &w : words) {
os << sep << w;
sep = "_";
}
SHERPA_ONNX_LOGE("after jieba processing: %s", os.str().c_str());
}
std::vector<std::vector<int64_t>> ans;
std::vector<int64_t> this_sentence;
int32_t blank = token2id_.at(" ");
for (const auto &w : words) {
auto ids = ConvertWordToIds(w);
if (ids.empty()) {
SHERPA_ONNX_LOGE("Ignore OOV '%s'", w.c_str());
continue;
}
this_sentence.insert(this_sentence.end(), ids.begin(), ids.end());
this_sentence.push_back(blank);
if (w == "。" || w == "!" || w == "?" || w == ",") {
ans.push_back(std::move(this_sentence));
this_sentence = {};
}
} // for (const auto &w : words)
if (!this_sentence.empty()) {
ans.push_back(std::move(this_sentence));
}
return ans;
}
private:
std::vector<int32_t> ConvertWordToIds(const std::string &w) const {
if (word2ids_.count(w)) {
return word2ids_.at(w);
}
if (token2id_.count(w)) {
return {token2id_.at(w)};
}
std::vector<int32_t> ans;
std::vector<std::string> words = SplitUtf8(w);
for (const auto &word : words) {
if (word2ids_.count(word)) {
auto ids = ConvertWordToIds(word);
ans.insert(ans.end(), ids.begin(), ids.end());
}
}
return ans;
}
void InitTokens(std::istream &is) {
token2id_ = ReadTokens(is);
std::vector<std::pair<std::string, std::string>> puncts = {
{",", ","}, {".", "。"}, {"!", "!"}, {"?", "?"}};
for (const auto &p : puncts) {
if (token2id_.count(p.first) && !token2id_.count(p.second)) {
token2id_[p.second] = token2id_[p.first];
}
if (!token2id_.count(p.first) && token2id_.count(p.second)) {
token2id_[p.first] = token2id_[p.second];
}
}
if (!token2id_.count("、") && token2id_.count(",")) {
token2id_["、"] = token2id_[","];
}
}
void InitLexicon(std::istream &is) {
std::string word;
std::vector<std::string> token_list;
std::string line;
std::string phone;
int32_t line_num = 0;
while (std::getline(is, line)) {
++line_num;
std::istringstream iss(line);
token_list.clear();
iss >> word;
ToLowerCase(&word);
if (word2ids_.count(word)) {
SHERPA_ONNX_LOGE("Duplicated word: %s at line %d:%s. Ignore it.",
word.c_str(), line_num, line.c_str());
continue;
}
while (iss >> phone) {
token_list.push_back(std::move(phone));
}
std::vector<int32_t> ids = ConvertTokensToIds(token2id_, token_list);
if (ids.empty()) {
continue;
}
word2ids_.insert({std::move(word), std::move(ids)});
}
}
private:
// lexicon.txt is saved in word2ids_
std::unordered_map<std::string, std::vector<int32_t>> word2ids_;
// tokens.txt is saved in token2id_
std::unordered_map<std::string, int32_t> token2id_;
OfflineTtsVitsModelMetaData meta_data_;
std::unique_ptr<cppjieba::Jieba> jieba_;
bool debug_ = false;
};
JiebaLexicon::~JiebaLexicon() = default;
JiebaLexicon::JiebaLexicon(const std::string &lexicon,
const std::string &tokens,
const std::string &dict_dir,
const OfflineTtsVitsModelMetaData &meta_data,
bool debug)
: impl_(std::make_unique<Impl>(lexicon, tokens, dict_dir, meta_data,
debug)) {}
std::vector<std::vector<int64_t>> JiebaLexicon::ConvertTextToTokenIds(
const std::string &text, const std::string & /*unused_voice = ""*/) const {
return impl_->ConvertTextToTokenIds(text);
}
} // namespace sherpa_onnx