Support Chinese vits models (#368)

@@ -9,6 +9,10 @@ log() {
 }
 
 log "Offline TTS test"
+# test waves are saved in ./tts
+mkdir ./tts
+
+log "vits-ljs test"
 
 wget -qq https://huggingface.co/csukuangfj/vits-ljs/resolve/main/vits-ljs.onnx
 wget -qq https://huggingface.co/csukuangfj/vits-ljs/resolve/main/lexicon.txt
@@ -18,14 +22,48 @@ python3 ./python-api-examples/offline-tts.py \
   --vits-model=./vits-ljs.onnx \
   --vits-lexicon=./lexicon.txt \
   --vits-tokens=./tokens.txt \
-  --output-filename=./tts.wav \
+  --output-filename=./tts/vits-ljs.wav \
   'liliana, the most beautiful and lovely assistant of our team!'
 
-ls -lh ./tts.wav
-file ./tts.wav
+ls -lh ./tts
 
 rm -v vits-ljs.onnx ./lexicon.txt ./tokens.txt
 
+log "vits-vctk test"
+wget -qq https://huggingface.co/csukuangfj/vits-vctk/resolve/main/vits-vctk.onnx
+wget -qq https://huggingface.co/csukuangfj/vits-vctk/resolve/main/lexicon.txt
+wget -qq https://huggingface.co/csukuangfj/vits-vctk/resolve/main/tokens.txt
+
+for sid in 0 10 90; do
+  python3 ./python-api-examples/offline-tts.py \
+    --vits-model=./vits-vctk.onnx \
+    --vits-lexicon=./lexicon.txt \
+    --vits-tokens=./tokens.txt \
+    --sid=$sid \
+    --output-filename=./tts/vits-vctk-${sid}.wav \
+    'liliana, the most beautiful and lovely assistant of our team!'
+done
+
+rm -v vits-vctk.onnx ./lexicon.txt ./tokens.txt
+
+log "vits-zh-aishell3"
+
+wget -qq https://huggingface.co/csukuangfj/vits-zh-aishell3/resolve/main/vits-aishell3.onnx
+wget -qq https://huggingface.co/csukuangfj/vits-zh-aishell3/resolve/main/lexicon.txt
+wget -qq https://huggingface.co/csukuangfj/vits-zh-aishell3/resolve/main/tokens.txt
+
+for sid in 0 10 90; do
+  python3 ./python-api-examples/offline-tts.py \
+    --vits-model=./vits-aishell3.onnx \
+    --vits-lexicon=./lexicon.txt \
+    --vits-tokens=./tokens.txt \
+    --sid=$sid \
+    --output-filename=./tts/vits-aishell3-${sid}.wav \
+    '林美丽最美丽'
+done
+
+rm -v vits-aishell3.onnx ./lexicon.txt ./tokens.txt
+
 mkdir -p /tmp/icefall-models
 dir=/tmp/icefall-models
 

@@ -69,4 +69,4 @@ jobs:
       - uses: actions/upload-artifact@v3
         with:
           name: tts-generated-test-files
-          path: tts.wav
+          path: tts

 cmake_minimum_required(VERSION 3.13 FATAL_ERROR)
 project(sherpa-onnx)
 
-set(SHERPA_ONNX_VERSION "1.8.1")
+set(SHERPA_ONNX_VERSION "1.8.2")
 
 # Disable warning about
 #
@@ -175,6 +175,8 @@ if(SHERPA_ONNX_ENABLE_WEBSOCKET)
   include(asio)
 endif()
 
+include(utfcpp)
+
 add_subdirectory(sherpa-onnx)
 
 if(SHERPA_ONNX_ENABLE_C_API)

@@ -6,7 +6,7 @@ function(download_kaldi_decoder)
   set(kaldi_decoder_HASH "SHA256=98bf445a5b7961ccf3c3522317d900054eaadb6a9cdcf4531e7d9caece94a56d")
 
   set(KALDI_DECODER_BUILD_PYTHON OFF CACHE BOOL "" FORCE)
-  set(KALDI_DECODER_BUILD_PYTHON OFF CACHE BOOL "" FORCE)
+  set(KALDI_DECODER_ENABLE_TESTS OFF CACHE BOOL "" FORCE)
   set(KALDIFST_BUILD_PYTHON OFF CACHE BOOL "" FORCE)
 
   # If you don't have access to the Internet,

 function(download_kaldi_native_fbank)
   include(FetchContent)
 
-  set(kaldi_native_fbank_URL  "https://github.com/csukuangfj/kaldi-native-fbank/archive/refs/tags/v1.18.1.tar.gz")
-  set(kaldi_native_fbank_URL2 "https://huggingface.co/csukuangfj/sherpa-onnx-cmake-deps/resolve/main/kaldi-native-fbank-1.18.1.tar.gz")
-  set(kaldi_native_fbank_HASH "SHA256=c7676f319fa97e8c8bca6018792de120895dcfe122fa9b4bff00f8f9165348e7")
+  set(kaldi_native_fbank_URL  "https://github.com/csukuangfj/kaldi-native-fbank/archive/refs/tags/v1.18.5.tar.gz")
+  set(kaldi_native_fbank_URL2 "https://huggingface.co/csukuangfj/sherpa-onnx-cmake-deps/resolve/main/kaldi-native-fbank-1.18.5.tar.gz")
+  set(kaldi_native_fbank_HASH "SHA256=dce0cb3bc6fece5d8053d8780cb4ce22da57cb57ebec332641661521a0425283")
 
   set(KALDI_NATIVE_FBANK_BUILD_TESTS OFF CACHE BOOL "" FORCE)
   set(KALDI_NATIVE_FBANK_BUILD_PYTHON OFF CACHE BOOL "" FORCE)
@@ -12,11 +12,11 @@ function(download_kaldi_native_fbank)
   # If you don't have access to the Internet,
   # please pre-download kaldi-native-fbank
   set(possible_file_locations
-    $ENV{HOME}/Downloads/kaldi-native-fbank-1.18.1.tar.gz
-    ${PROJECT_SOURCE_DIR}/kaldi-native-fbank-1.18.1.tar.gz
-    ${PROJECT_BINARY_DIR}/kaldi-native-fbank-1.18.1.tar.gz
-    /tmp/kaldi-native-fbank-1.18.1.tar.gz
-    /star-fj/fangjun/download/github/kaldi-native-fbank-1.18.1.tar.gz
+    $ENV{HOME}/Downloads/kaldi-native-fbank-1.18.5.tar.gz
+    ${PROJECT_SOURCE_DIR}/kaldi-native-fbank-1.18.5.tar.gz
+    ${PROJECT_BINARY_DIR}/kaldi-native-fbank-1.18.5.tar.gz
+    /tmp/kaldi-native-fbank-1.18.5.tar.gz
+    /star-fj/fangjun/download/github/kaldi-native-fbank-1.18.5.tar.gz
   )
 
   foreach(f IN LISTS possible_file_locations)

+function(download_utfcpp)
+  include(FetchContent)
+
+  set(utfcpp_URL  "https://github.com/nemtrif/utfcpp/archive/refs/tags/v3.2.5.tar.gz")
+  set(utfcpp_URL2 "https://huggingface.co/csukuangfj/sherpa-onnx-cmake-deps/resolve/main/utfcpp-3.2.5.tar.gz")
+  set(utfcpp_HASH "SHA256=14fd1b3c466814cb4c40771b7f207b61d2c7a0aa6a5e620ca05c00df27f25afd")
+
+  # If you don't have access to the Internet,
+  # please pre-download utfcpp
+  set(possible_file_locations
+    $ENV{HOME}/Downloads/utfcpp-3.2.5.tar.gz
+    ${PROJECT_SOURCE_DIR}/utfcpp-3.2.5.tar.gz
+    ${PROJECT_BINARY_DIR}/utfcpp-3.2.5.tar.gz
+    /tmp/utfcpp-3.2.5.tar.gz
+    /star-fj/fangjun/download/github/utfcpp-3.2.5.tar.gz
+  )
+
+  foreach(f IN LISTS possible_file_locations)
+    if(EXISTS ${f})
+      set(utfcpp_URL  "${f}")
+      file(TO_CMAKE_PATH "${utfcpp_URL}" utfcpp_URL)
+      message(STATUS "Found local downloaded utfcpp: ${utfcpp_URL}")
+      set(utfcpp_URL2)
+      break()
+    endif()
+  endforeach()
+
+  FetchContent_Declare(utfcpp
+    URL
+      ${utfcpp_URL}
+      ${utfcpp_URL2}
+    URL_HASH          ${utfcpp_HASH}
+  )
+
+  FetchContent_GetProperties(utfcpp)
+  if(NOT utfcpp_POPULATED)
+    message(STATUS "Downloading utfcpp from ${utfcpp_URL}")
+    FetchContent_Populate(utfcpp)
+  endif()
+  message(STATUS "utfcpp is downloaded to ${utfcpp_SOURCE_DIR}")
+  # add_subdirectory(${utfcpp_SOURCE_DIR} ${utfcpp_BINARY_DIR} EXCLUDE_FROM_ALL)
+  include_directories(${utfcpp_SOURCE_DIR})
+endfunction()
+
+download_utfcpp()

@@ -20,9 +20,14 @@ python3 ./python-api-examples/offline-tts.py \
   --vits-tokens=./tokens.txt \
   --output-filename=./generated.wav \
   'liliana, the most beautiful and lovely assistant of our team!'
+
+Please see
+https://k2-fsa.github.io/sherpa/onnx/tts/index.html
+for details.
 """
 
 import argparse
+import time
 
 import sherpa_onnx
 import soundfile as sf
@@ -115,7 +120,14 @@ def main():
         )
     )
     tts = sherpa_onnx.OfflineTts(tts_config)
+
+    start = time.time()
     audio = tts.generate(args.text, sid=args.sid)
+    end = time.time()
+    elapsed_seconds = end - start
+    audio_duration = len(audio.samples) / audio.sample_rate
+    real_time_factor = elapsed_seconds / audio_duration
+
     sf.write(
         args.output_filename,
         audio.samples,
@@ -124,6 +136,9 @@ def main():
     )
     print(f"Saved to {args.output_filename}")
     print(f"The text is '{args.text}'")
+    print(f"Elapsed seconds: {elapsed_seconds:.3f}")
+    print(f"Audio duration in seconds: {audio_duration:.3f}")
+    print(f"RTF: {elapsed_seconds:.3f}/{audio_duration:.3f} = {real_time_factor:.3f}")
 
 
 if __name__ == "__main__":

@@ -331,6 +331,7 @@ if(SHERPA_ONNX_ENABLE_TESTS)
     stack-test.cc
     transpose-test.cc
     unbind-test.cc
+    utfcpp-test.cc
   )
 
   function(sherpa_onnx_add_test source)

@@ -76,9 +76,105 @@ static std::vector<int32_t> ConvertTokensToIds(
 }
 
 Lexicon::Lexicon(const std::string &lexicon, const std::string &tokens,
-                 const std::string &punctuations) {
+                 const std::string &punctuations, const std::string &language) {
+  InitLanguage(language);
+  InitTokens(tokens);
+  InitLexicon(lexicon);
+  InitPunctuations(punctuations);
+}
+
+std::vector<int64_t> Lexicon::ConvertTextToTokenIds(
+    const std::string &text) const {
+  switch (language_) {
+    case Language::kEnglish:
+      return ConvertTextToTokenIdsEnglish(text);
+    case Language::kChinese:
+      return ConvertTextToTokenIdsChinese(text);
+    default:
+      SHERPA_ONNX_LOGE("Unknonw language: %d", static_cast<int32_t>(language_));
+      exit(-1);
+  }
+
+  return {};
+}
+
+std::vector<int64_t> Lexicon::ConvertTextToTokenIdsChinese(
+    const std::string &text) const {
+  std::vector<std::string> words = SplitUtf8(text);
+
+  std::vector<int64_t> ans;
+
+  ans.push_back(token2id_.at("sil"));
+
+  for (const auto &w : words) {
+    if (!word2ids_.count(w)) {
+      SHERPA_ONNX_LOGE("OOV %s. Ignore it!", w.c_str());
+      continue;
+    }
+
+    const auto &token_ids = word2ids_.at(w);
+    ans.insert(ans.end(), token_ids.begin(), token_ids.end());
+  }
+  ans.push_back(token2id_.at("sil"));
+  ans.push_back(token2id_.at("eos"));
+  return ans;
+}
+
+std::vector<int64_t> Lexicon::ConvertTextToTokenIdsEnglish(
+    const std::string &_text) const {
+  std::string text(_text);
+  ToLowerCase(&text);
+
+  std::vector<std::string> words = SplitUtf8(text);
+
+  std::vector<int64_t> ans;
+  for (const auto &w : words) {
+    if (punctuations_.count(w)) {
+      ans.push_back(token2id_.at(w));
+      continue;
+    }
+
+    if (!word2ids_.count(w)) {
+      SHERPA_ONNX_LOGE("OOV %s. Ignore it!", w.c_str());
+      continue;
+    }
+
+    const auto &token_ids = word2ids_.at(w);
+    ans.insert(ans.end(), token_ids.begin(), token_ids.end());
+    if (blank_ != -1) {
+      ans.push_back(blank_);
+    }
+  }
+
+  if (blank_ != -1 && !ans.empty()) {
+    // remove the last blank
+    ans.resize(ans.size() - 1);
+  }
+
+  return ans;
+}
+
+void Lexicon::InitTokens(const std::string &tokens) {
   token2id_ = ReadTokens(tokens);
+  if (token2id_.count(" ")) {
     blank_ = token2id_.at(" ");
+  }
+}
+
+void Lexicon::InitLanguage(const std::string &_lang) {
+  std::string lang(_lang);
+  ToLowerCase(&lang);
+  if (lang == "english") {
+    language_ = Language::kEnglish;
+  } else if (lang == "chinese") {
+    language_ = Language::kChinese;
+  } else {
+    SHERPA_ONNX_LOGE("Unknown language: %s", _lang.c_str());
+    exit(-1);
+  }
+}
+
+void Lexicon::InitLexicon(const std::string &lexicon) {
   std::ifstream is(lexicon);
 
   std::string word;
@@ -109,8 +205,9 @@ Lexicon::Lexicon(const std::string &lexicon, const std::string &tokens,
     }
     word2ids_.insert({std::move(word), std::move(ids)});
   }
+}
 
-  // process punctuations
+void Lexicon::InitPunctuations(const std::string &punctuations) {
   std::vector<std::string> punctuation_list;
   SplitStringToVector(punctuations, " ", false, &punctuation_list);
   for (auto &s : punctuation_list) {
@@ -118,46 +215,4 @@ Lexicon::Lexicon(const std::string &lexicon, const std::string &tokens,
   }
 }
 
-std::vector<int64_t> Lexicon::ConvertTextToTokenIds(
-    const std::string &_text) const {
-  std::string text(_text);
-  ToLowerCase(&text);
-
-  std::vector<std::string> words;
-  SplitStringToVector(text, " ", false, &words);
-
-  std::vector<int64_t> ans;
-  for (auto w : words) {
-    std::vector<int64_t> prefix;
-    while (!w.empty() && punctuations_.count(std::string(1, w[0]))) {
-      // if w begins with a punctuation
-      prefix.push_back(token2id_.at(std::string(1, w[0])));
-      w = std::string(w.begin() + 1, w.end());
-    }
-
-    std::vector<int64_t> suffix;
-    while (!w.empty() && punctuations_.count(std::string(1, w.back()))) {
-      suffix.push_back(token2id_.at(std::string(1, w.back())));
-      w = std::string(w.begin(), w.end() - 1);
-    }
-
-    if (!word2ids_.count(w)) {
-      SHERPA_ONNX_LOGE("OOV %s. Ignore it!", w.c_str());
-      continue;
-    }
-
-    const auto &token_ids = word2ids_.at(w);
-    ans.insert(ans.end(), prefix.begin(), prefix.end());
-    ans.insert(ans.end(), token_ids.begin(), token_ids.end());
-    ans.insert(ans.end(), suffix.rbegin(), suffix.rend());
-    ans.push_back(blank_);
-  }
-
-  if (!ans.empty()) {
-    ans.resize(ans.size() - 1);
-  }
-
-  return ans;
-}
-
 }  // namespace sherpa_onnx

@@ -13,18 +13,40 @@
 
 namespace sherpa_onnx {
 
+// TODO(fangjun): Refactor it to an abstract class
 class Lexicon {
  public:
   Lexicon(const std::string &lexicon, const std::string &tokens,
-          const std::string &punctuations);
+          const std::string &punctuations, const std::string &language);
 
   std::vector<int64_t> ConvertTextToTokenIds(const std::string &text) const;
 
  private:
+  std::vector<int64_t> ConvertTextToTokenIdsEnglish(
+      const std::string &text) const;
+
+  std::vector<int64_t> ConvertTextToTokenIdsChinese(
+      const std::string &text) const;
+
+  void InitLanguage(const std::string &lang);
+  void InitTokens(const std::string &tokens);
+  void InitLexicon(const std::string &lexicon);
+  void InitPunctuations(const std::string &punctuations);
+
+ private:
+  enum class Language {
+    kEnglish,
+    kChinese,
+    kUnknown,
+  };
+
+ private:
   std::unordered_map<std::string, std::vector<int32_t>> word2ids_;
   std::unordered_set<std::string> punctuations_;
   std::unordered_map<std::string, int32_t> token2id_;
-  int32_t blank_;  // ID for the blank token
+  int32_t blank_ = -1;  // ID for the blank token
+  Language language_;
+  //
 };
 
 }  // namespace sherpa_onnx

@@ -21,7 +21,7 @@ class OfflineTtsVitsImpl : public OfflineTtsImpl {
   explicit OfflineTtsVitsImpl(const OfflineTtsConfig &config)
       : model_(std::make_unique<OfflineTtsVitsModel>(config.model)),
         lexicon_(config.model.vits.lexicon, config.model.vits.tokens,
-                 model_->Punctuations()) {}
+                 model_->Punctuations(), model_->Language()) {}
 
   GeneratedAudio Generate(const std::string &text,
                           int64_t sid = 0) const override {

@@ -84,6 +84,7 @@ class OfflineTtsVitsModel::Impl {
   bool AddBlank() const { return add_blank_; }
 
   std::string Punctuations() const { return punctuations_; }
+  std::string Language() const { return language_; }
 
  private:
   void Init(void *model_data, size_t model_data_length) {
@@ -108,6 +109,7 @@ class OfflineTtsVitsModel::Impl {
     SHERPA_ONNX_READ_META_DATA(add_blank_, "add_blank");
     SHERPA_ONNX_READ_META_DATA(n_speakers_, "n_speakers");
     SHERPA_ONNX_READ_META_DATA_STR(punctuations_, "punctuation");
+    SHERPA_ONNX_READ_META_DATA_STR(language_, "language");
   }
 
  private:
@@ -128,6 +130,7 @@ class OfflineTtsVitsModel::Impl {
   int32_t add_blank_;
   int32_t n_speakers_;
   std::string punctuations_;
+  std::string language_;
 };
 
 OfflineTtsVitsModel::OfflineTtsVitsModel(const OfflineTtsModelConfig &config)
@@ -147,4 +150,6 @@ std::string OfflineTtsVitsModel::Punctuations() const {
   return impl_->Punctuations();
 }
 
+std::string OfflineTtsVitsModel::Language() const { return impl_->Language(); }
+
 }  // namespace sherpa_onnx

@@ -38,6 +38,7 @@ class OfflineTtsVitsModel {
   bool AddBlank() const;
 
   std::string Punctuations() const;
+  std::string Language() const;
 
  private:
   class Impl;

@@ -8,12 +8,16 @@
 #include <assert.h>
 
 #include <algorithm>
+#include <cctype>
 #include <limits>
 #include <sstream>
 #include <string>
 #include <unordered_map>
+#include <utility>
 #include <vector>
 
+#include "source/utf8.h"
+
 // This file is copied/modified from
 // https://github.com/kaldi-asr/kaldi/blob/master/src/util/text-utils.cc
 
@@ -158,4 +162,57 @@ template bool SplitStringToFloats(const std::string &full, const char *delim,
                                   bool omit_empty_strings,
                                   std::vector<double> *out);
 
+std::vector<std::string> SplitUtf8(const std::string &text) {
+  char *begin = const_cast<char *>(text.c_str());
+  char *end = begin + text.size();
+
+  std::vector<std::string> ans;
+  std::string buf;
+
+  while (begin < end) {
+    uint32_t code = utf8::next(begin, end);
+
+    // 1. is punctuation
+    if (std::ispunct(code)) {
+      if (!buf.empty()) {
+        ans.push_back(std::move(buf));
+      }
+
+      char s[5] = {0};
+      utf8::append(code, s);
+      ans.push_back(s);
+      continue;
+    }
+
+    // 2. is space
+    if (std::isspace(code)) {
+      if (!buf.empty()) {
+        ans.push_back(std::move(buf));
+      }
+      continue;
+    }
+
+    // 3. is alpha
+    if (std::isalpha(code)) {
+      buf.push_back(code);
+      continue;
+    }
+
+    if (!buf.empty()) {
+      ans.push_back(std::move(buf));
+    }
+
+    // for others
+
+    char s[5] = {0};
+    utf8::append(code, s);
+    ans.push_back(s);
+  }
+
+  if (!buf.empty()) {
+    ans.push_back(std::move(buf));
+  }
+
+  return ans;
+}
 }  // namespace sherpa_onnx

@@ -119,6 +119,8 @@ bool SplitStringToFloats(const std::string &full, const char *delim,
 template <typename T>
 bool ConvertStringToReal(const std::string &str, T *out);
 
+std::vector<std::string> SplitUtf8(const std::string &text);
+
 }  // namespace sherpa_onnx
 
 #endif  // SHERPA_ONNX_CSRC_TEXT_UTILS_H_

+// sherpa-onnx/csrc/utfcpp-test.cc
+//
+// Copyright (c)  2023  Xiaomi Corporation
+
+#include <cctype>
+#include <string>
+
+#include "gtest/gtest.h"
+#include "sherpa-onnx/csrc/text-utils.h"
+
+namespace sherpa_onnx {
+
+TEST(UTF8, Case1) {
+  std::string hello = "你好, 早上好！世界.  hello!。Hallo";
+  std::vector<std::string> ss = SplitUtf8(hello);
+  for (const auto &s : ss) {
+    std::cout << s << "\n";
+  }
+}
+
+}  // namespace sherpa_onnx