Add inverse text normalization for non-streaming ASR (#1017)

@@ -248,7 +248,7 @@ if [[ x$OS != x'windows-latest' ]]; then
   python3 ./python-api-examples/online-decode-files.py \
     --tokens=$repo/tokens.txt \
     --encoder=$repo/encoder-epoch-99-avg-1.int8.onnx \
-    --decoder=$repo/decoder-epoch-99-avg-1.int8.onnx \
+    --decoder=$repo/decoder-epoch-99-avg-1.onnx \
     --joiner=$repo/joiner-epoch-99-avg-1.int8.onnx \
     $repo/test_wavs/0.wav \
     $repo/test_wavs/1.wav \
@@ -286,7 +286,7 @@ python3 ./python-api-examples/offline-decode-files.py \
 python3 ./python-api-examples/offline-decode-files.py \
   --tokens=$repo/tokens.txt \
   --encoder=$repo/encoder-epoch-99-avg-1.int8.onnx \
-  --decoder=$repo/decoder-epoch-99-avg-1.int8.onnx \
+  --decoder=$repo/decoder-epoch-99-avg-1.onnx \
   --joiner=$repo/joiner-epoch-99-avg-1.int8.onnx \
   $repo/test_wavs/0.wav \
   $repo/test_wavs/1.wav \
@@ -330,6 +330,15 @@ if [[ x$OS != x'windows-latest' ]]; then
 
   python3 sherpa-onnx/python/tests/test_offline_recognizer.py --verbose
 
+  ln -s $repo $PWD/
+
+  curl -SL -O https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/itn_zh_number.fst
+  curl -SL -O https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/itn-zh-number.wav
+
+  python3 ./python-api-examples/inverse-text-normalization-offline-asr.py
+
+  rm -rfv sherpa-onnx-paraformer-zh-2023-03-28
+
   rm -rf $repo
 fi
 

+#!/usr/bin/env python3
+#
+# Copyright (c)  2024  Xiaomi Corporation
+
+"""
+This script shows how to use inverse text normalization with non-streaming ASR.
+
+Usage:
+
+(1) Download the test model
+
+wget https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-paraformer-zh-2023-03-28.tar.bz2
+tar xvf sherpa-onnx-paraformer-zh-2023-03-28.tar.bz2
+rm sherpa-onnx-paraformer-zh-2023-03-28.tar.bz2
+
+(2) Download rule fst
+
+wget https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/itn_zh_number.fst
+
+Please refer to
+https://github.com/k2-fsa/colab/blob/master/sherpa-onnx/itn_zh_number.ipynb
+for how itn_zh_number.fst is generated.
+
+(3) Download test wave
+
+wget https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/itn-zh-number.wav
+
+(4) Run this script
+
+python3 ./python-api-examples/inverse-text-normalization-offline-asr.py
+"""
+from pathlib import Path
+
+import sherpa_onnx
+import soundfile as sf
+
+
+def create_recognizer():
+    model = "./sherpa-onnx-paraformer-zh-2023-03-28/model.int8.onnx"
+    tokens = "./sherpa-onnx-paraformer-zh-2023-03-28/tokens.txt"
+    rule_fsts = "./itn_zh_number.fst"
+
+    if (
+        not Path(model).is_file()
+        or not Path(tokens).is_file()
+        or not Path(rule_fsts).is_file()
+    ):
+        raise ValueError(
+            """Please download model files from
+            https://github.com/k2-fsa/sherpa-onnx/releases/tag/asr-models
+            """
+        )
+    return sherpa_onnx.OfflineRecognizer.from_paraformer(
+        paraformer=model,
+        tokens=tokens,
+        debug=True,
+        rule_fsts=rule_fsts,
+    )
+
+
+def main():
+    recognizer = create_recognizer()
+    wave_filename = "./itn-zh-number.wav"
+    if not Path(wave_filename).is_file():
+        raise ValueError(
+            """Please download model files from
+            https://github.com/k2-fsa/sherpa-onnx/releases/tag/asr-models
+            """
+        )
+    audio, sample_rate = sf.read(wave_filename, dtype="float32", always_2d=True)
+    audio = audio[:, 0]  # only use the first channel
+
+    stream = recognizer.create_stream()
+    stream.accept_waveform(sample_rate, audio)
+    recognizer.decode_stream(stream)
+    print(wave_filename)
+    print(stream.result)
+
+
+if __name__ == "__main__":
+    main()

@@ -73,7 +73,8 @@ static OfflineRecognitionResult Convert(const OfflineCtcDecoderResult &src,
 class OfflineRecognizerCtcImpl : public OfflineRecognizerImpl {
  public:
   explicit OfflineRecognizerCtcImpl(const OfflineRecognizerConfig &config)
-      : config_(config),
+      : OfflineRecognizerImpl(config),
+        config_(config),
         symbol_table_(config_.model_config.tokens),
         model_(OfflineCtcModel::Create(config_.model_config)) {
     Init();
@@ -82,7 +83,8 @@ class OfflineRecognizerCtcImpl : public OfflineRecognizerImpl {
 #if __ANDROID_API__ >= 9
   OfflineRecognizerCtcImpl(AAssetManager *mgr,
                            const OfflineRecognizerConfig &config)
-      : config_(config),
+      : OfflineRecognizerImpl(mgr, config),
+        config_(config),
         symbol_table_(mgr, config_.model_config.tokens),
         model_(OfflineCtcModel::Create(mgr, config_.model_config)) {
     Init();
@@ -205,6 +207,7 @@ class OfflineRecognizerCtcImpl : public OfflineRecognizerImpl {
     for (int32_t i = 0; i != n; ++i) {
       auto r = Convert(results[i], symbol_table_, frame_shift_ms,
                        model_->SubsamplingFactor());
+      r.text = ApplyInverseTextNormalization(std::move(r.text));
       ss[i]->SetResult(r);
     }
   }
@@ -238,6 +241,7 @@ class OfflineRecognizerCtcImpl : public OfflineRecognizerImpl {
 
     auto r = Convert(results[0], symbol_table_, frame_shift_ms,
                      model_->SubsamplingFactor());
+    r.text = ApplyInverseTextNormalization(std::move(r.text));
     s->SetResult(r);
   }
 

@@ -5,7 +5,18 @@
 #include "sherpa-onnx/csrc/offline-recognizer-impl.h"
 
 #include <string>
+#include <utility>
+#include <vector>
 
+#if __ANDROID_API__ >= 9
+#include <strstream>
+
+#include "android/asset_manager.h"
+#include "android/asset_manager_jni.h"
+#endif
+
+#include "fst/extensions/far/far.h"
+#include "kaldifst/csrc/kaldi-fst-io.h"
 #include "onnxruntime_cxx_api.h"  // NOLINT
 #include "sherpa-onnx/csrc/macros.h"
 #include "sherpa-onnx/csrc/offline-recognizer-ctc-impl.h"
@@ -316,4 +327,111 @@ std::unique_ptr<OfflineRecognizerImpl> OfflineRecognizerImpl::Create(
 }
 #endif
 
+OfflineRecognizerImpl::OfflineRecognizerImpl(
+    const OfflineRecognizerConfig &config)
+    : config_(config) {
+  if (!config.rule_fsts.empty()) {
+    std::vector<std::string> files;
+    SplitStringToVector(config.rule_fsts, ",", false, &files);
+    itn_list_.reserve(files.size());
+    for (const auto &f : files) {
+      if (config.model_config.debug) {
+        SHERPA_ONNX_LOGE("rule fst: %s", f.c_str());
+      }
+      itn_list_.push_back(std::make_unique<kaldifst::TextNormalizer>(f));
+    }
+  }
+
+  if (!config.rule_fars.empty()) {
+    if (config.model_config.debug) {
+      SHERPA_ONNX_LOGE("Loading FST archives");
+    }
+    std::vector<std::string> files;
+    SplitStringToVector(config.rule_fars, ",", false, &files);
+
+    itn_list_.reserve(files.size() + itn_list_.size());
+
+    for (const auto &f : files) {
+      if (config.model_config.debug) {
+        SHERPA_ONNX_LOGE("rule far: %s", f.c_str());
+      }
+      std::unique_ptr<fst::FarReader<fst::StdArc>> reader(
+          fst::FarReader<fst::StdArc>::Open(f));
+      for (; !reader->Done(); reader->Next()) {
+        std::unique_ptr<fst::StdConstFst> r(
+            fst::CastOrConvertToConstFst(reader->GetFst()->Copy()));
+
+        itn_list_.push_back(
+            std::make_unique<kaldifst::TextNormalizer>(std::move(r)));
+      }
+    }
+
+    if (config.model_config.debug) {
+      SHERPA_ONNX_LOGE("FST archives loaded!");
+    }
+  }
+}
+
+#if __ANDROID_API__ >= 9
+OfflineRecognizerImpl::OfflineRecognizerImpl(
+    AAssetManager *mgr, const OfflineRecognizerConfig &config)
+    : config_(config) {
+  if (!config.rule_fsts.empty()) {
+    std::vector<std::string> files;
+    SplitStringToVector(config.rule_fsts, ",", false, &files);
+    itn_list_.reserve(files.size());
+    for (const auto &f : files) {
+      if (config.model_config.debug) {
+        SHERPA_ONNX_LOGE("rule fst: %s", f.c_str());
+      }
+      auto buf = ReadFile(mgr, f);
+      std::istrstream is(buf.data(), buf.size());
+      itn_list_.push_back(std::make_unique<kaldifst::TextNormalizer>(is));
+    }
+  }
+
+  if (!config.rule_fars.empty()) {
+    std::vector<std::string> files;
+    SplitStringToVector(config.rule_fars, ",", false, &files);
+    itn_list_.reserve(files.size() + itn_list_.size());
+
+    for (const auto &f : files) {
+      if (config.model_config.debug) {
+        SHERPA_ONNX_LOGE("rule far: %s", f.c_str());
+      }
+
+      auto buf = ReadFile(mgr, f);
+
+      std::unique_ptr<std::istream> s(
+          new std::istrstream(buf.data(), buf.size()));
+
+      std::unique_ptr<fst::FarReader<fst::StdArc>> reader(
+          fst::FarReader<fst::StdArc>::Open(std::move(s)));
+
+      for (; !reader->Done(); reader->Next()) {
+        std::unique_ptr<fst::StdConstFst> r(
+            fst::CastOrConvertToConstFst(reader->GetFst()->Copy()));
+
+        itn_list_.push_back(
+            std::make_unique<kaldifst::TextNormalizer>(std::move(r)));
+      }  // for (; !reader->Done(); reader->Next())
+    }    // for (const auto &f : files)
+  }      // if (!config.rule_fars.empty())
+}
+#endif
+
+std::string OfflineRecognizerImpl::ApplyInverseTextNormalization(
+    std::string text) const {
+  if (!itn_list_.empty()) {
+    for (const auto &tn : itn_list_) {
+      text = tn->Normalize(text);
+      if (config_.model_config.debug) {
+        SHERPA_ONNX_LOGE("After inverse text normalization: %s", text.c_str());
+      }
+    }
+  }
+
+  return text;
+}
+
 }  // namespace sherpa_onnx

@@ -14,6 +14,7 @@
 #include "android/asset_manager_jni.h"
 #endif
 
+#include "kaldifst/csrc/text-normalizer.h"
 #include "sherpa-onnx/csrc/macros.h"
 #include "sherpa-onnx/csrc/offline-recognizer.h"
 #include "sherpa-onnx/csrc/offline-stream.h"
@@ -22,10 +23,15 @@ namespace sherpa_onnx {
 
 class OfflineRecognizerImpl {
  public:
+  explicit OfflineRecognizerImpl(const OfflineRecognizerConfig &config);
+
   static std::unique_ptr<OfflineRecognizerImpl> Create(
       const OfflineRecognizerConfig &config);
 
 #if __ANDROID_API__ >= 9
+  OfflineRecognizerImpl(AAssetManager *mgr,
+                        const OfflineRecognizerConfig &config);
+
   static std::unique_ptr<OfflineRecognizerImpl> Create(
       AAssetManager *mgr, const OfflineRecognizerConfig &config);
 #endif
@@ -41,6 +47,15 @@ class OfflineRecognizerImpl {
   virtual std::unique_ptr<OfflineStream> CreateStream() const = 0;
 
   virtual void DecodeStreams(OfflineStream **ss, int32_t n) const = 0;
+
+  std::string ApplyInverseTextNormalization(std::string text) const;
+
+ private:
+  OfflineRecognizerConfig config_;
+  // for inverse text normalization. Used only if
+  // config.rule_fsts is not empty or
+  // config.rule_fars is not empty
+  std::vector<std::unique_ptr<kaldifst::TextNormalizer>> itn_list_;
 };
 
 }  // namespace sherpa_onnx

@@ -89,7 +89,8 @@ class OfflineRecognizerParaformerImpl : public OfflineRecognizerImpl {
  public:
   explicit OfflineRecognizerParaformerImpl(
       const OfflineRecognizerConfig &config)
-      : config_(config),
+      : OfflineRecognizerImpl(config),
+        config_(config),
         symbol_table_(config_.model_config.tokens),
         model_(std::make_unique<OfflineParaformerModel>(config.model_config)) {
     if (config.decoding_method == "greedy_search") {
@@ -109,7 +110,8 @@ class OfflineRecognizerParaformerImpl : public OfflineRecognizerImpl {
 #if __ANDROID_API__ >= 9
   OfflineRecognizerParaformerImpl(AAssetManager *mgr,
                                   const OfflineRecognizerConfig &config)
-      : config_(config),
+      : OfflineRecognizerImpl(mgr, config),
+        config_(config),
         symbol_table_(mgr, config_.model_config.tokens),
         model_(std::make_unique<OfflineParaformerModel>(mgr,
                                                         config.model_config)) {
@@ -204,6 +206,7 @@ class OfflineRecognizerParaformerImpl : public OfflineRecognizerImpl {
 
     for (int32_t i = 0; i != n; ++i) {
       auto r = Convert(results[i], symbol_table_);
+      r.text = ApplyInverseTextNormalization(std::move(r.text));
       ss[i]->SetResult(r);
     }
   }

@@ -74,7 +74,8 @@ class OfflineRecognizerTransducerImpl : public OfflineRecognizerImpl {
  public:
   explicit OfflineRecognizerTransducerImpl(
       const OfflineRecognizerConfig &config)
-      : config_(config),
+      : OfflineRecognizerImpl(config),
+        config_(config),
         symbol_table_(config_.model_config.tokens),
         model_(std::make_unique<OfflineTransducerModel>(config_.model_config)) {
     if (config_.decoding_method == "greedy_search") {
@@ -107,7 +108,8 @@ class OfflineRecognizerTransducerImpl : public OfflineRecognizerImpl {
 #if __ANDROID_API__ >= 9
   explicit OfflineRecognizerTransducerImpl(
       AAssetManager *mgr, const OfflineRecognizerConfig &config)
-      : config_(config),
+      : OfflineRecognizerImpl(mgr, config),
+        config_(config),
         symbol_table_(mgr, config_.model_config.tokens),
         model_(std::make_unique<OfflineTransducerModel>(mgr,
                                                         config_.model_config)) {
@@ -230,6 +232,7 @@ class OfflineRecognizerTransducerImpl : public OfflineRecognizerImpl {
     for (int32_t i = 0; i != n; ++i) {
       auto r = Convert(results[i], symbol_table_, frame_shift_ms,
                        model_->SubsamplingFactor());
+      r.text = ApplyInverseTextNormalization(std::move(r.text));
 
       ss[i]->SetResult(r);
     }

@@ -41,7 +41,8 @@ class OfflineRecognizerTransducerNeMoImpl : public OfflineRecognizerImpl {
  public:
   explicit OfflineRecognizerTransducerNeMoImpl(
       const OfflineRecognizerConfig &config)
-      : config_(config),
+      : OfflineRecognizerImpl(config),
+        config_(config),
         symbol_table_(config_.model_config.tokens),
         model_(std::make_unique<OfflineTransducerNeMoModel>(
             config_.model_config)) {
@@ -59,7 +60,8 @@ class OfflineRecognizerTransducerNeMoImpl : public OfflineRecognizerImpl {
 #if __ANDROID_API__ >= 9
   explicit OfflineRecognizerTransducerNeMoImpl(
       AAssetManager *mgr, const OfflineRecognizerConfig &config)
-      : config_(config),
+      : OfflineRecognizerImpl(mgr, config),
+        config_(config),
         symbol_table_(mgr, config_.model_config.tokens),
         model_(std::make_unique<OfflineTransducerNeMoModel>(
             mgr, config_.model_config)) {
@@ -131,6 +133,7 @@ class OfflineRecognizerTransducerNeMoImpl : public OfflineRecognizerImpl {
     for (int32_t i = 0; i != n; ++i) {
       auto r = Convert(results[i], symbol_table_, frame_shift_ms,
                        model_->SubsamplingFactor());
+      r.text = ApplyInverseTextNormalization(std::move(r.text));
 
       ss[i]->SetResult(r);
     }

@@ -52,7 +52,8 @@ static OfflineRecognitionResult Convert(const OfflineWhisperDecoderResult &src,
 class OfflineRecognizerWhisperImpl : public OfflineRecognizerImpl {
  public:
   explicit OfflineRecognizerWhisperImpl(const OfflineRecognizerConfig &config)
-      : config_(config),
+      : OfflineRecognizerImpl(config),
+        config_(config),
         symbol_table_(config_.model_config.tokens),
         model_(std::make_unique<OfflineWhisperModel>(config.model_config)) {
     Init();
@@ -61,7 +62,8 @@ class OfflineRecognizerWhisperImpl : public OfflineRecognizerImpl {
 #if __ANDROID_API__ >= 9
   OfflineRecognizerWhisperImpl(AAssetManager *mgr,
                                const OfflineRecognizerConfig &config)
-      : config_(config),
+      : OfflineRecognizerImpl(mgr, config),
+        config_(config),
         symbol_table_(mgr, config_.model_config.tokens),
         model_(
             std::make_unique<OfflineWhisperModel>(mgr, config.model_config)) {
@@ -150,6 +152,7 @@ class OfflineRecognizerWhisperImpl : public OfflineRecognizerImpl {
                                       std::move(cross_kv.second));
 
       auto r = Convert(results[0], symbol_table_);
+      r.text = ApplyInverseTextNormalization(std::move(r.text));
       s->SetResult(r);
     } catch (const Ort::Exception &ex) {
       SHERPA_ONNX_LOGE(

@@ -10,7 +10,7 @@
 #include "sherpa-onnx/csrc/macros.h"
 #include "sherpa-onnx/csrc/offline-lm-config.h"
 #include "sherpa-onnx/csrc/offline-recognizer-impl.h"
-
+#include "sherpa-onnx/csrc/text-utils.h"
 namespace sherpa_onnx {
 
 void OfflineRecognizerConfig::Register(ParseOptions *po) {
@@ -44,6 +44,16 @@ void OfflineRecognizerConfig::Register(ParseOptions *po) {
   po->Register("hotwords-score", &hotwords_score,
                "The bonus score for each token in context word/phrase. "
                "Used only when decoding_method is modified_beam_search");
+
+  po->Register(
+      "rule-fsts", &rule_fsts,
+      "If not empty, it specifies fsts for inverse text normalization. "
+      "If there are multiple fsts, they are separated by a comma.");
+
+  po->Register(
+      "rule-fars", &rule_fars,
+      "If not empty, it specifies fst archives for inverse text normalization. "
+      "If there are multiple archives, they are separated by a comma.");
 }
 
 bool OfflineRecognizerConfig::Validate() const {
@@ -61,7 +71,7 @@ bool OfflineRecognizerConfig::Validate() const {
   if (!hotwords_file.empty() && decoding_method != "modified_beam_search") {
     SHERPA_ONNX_LOGE(
         "Please use --decoding-method=modified_beam_search if you"
-        " provide --hotwords-file. Given --decoding-method=%s",
+        " provide --hotwords-file. Given --decoding-method='%s'",
         decoding_method.c_str());
     return false;
   }
@@ -72,6 +82,34 @@ bool OfflineRecognizerConfig::Validate() const {
     return false;
   }
 
+  if (!hotwords_file.empty() && !FileExists(hotwords_file)) {
+    SHERPA_ONNX_LOGE("--hotwords-file: '%s' does not exist",
+                     hotwords_file.c_str());
+    return false;
+  }
+
+  if (!rule_fsts.empty()) {
+    std::vector<std::string> files;
+    SplitStringToVector(rule_fsts, ",", false, &files);
+    for (const auto &f : files) {
+      if (!FileExists(f)) {
+        SHERPA_ONNX_LOGE("Rule fst '%s' does not exist. ", f.c_str());
+        return false;
+      }
+    }
+  }
+
+  if (!rule_fars.empty()) {
+    std::vector<std::string> files;
+    SplitStringToVector(rule_fars, ",", false, &files);
+    for (const auto &f : files) {
+      if (!FileExists(f)) {
+        SHERPA_ONNX_LOGE("Rule far '%s' does not exist. ", f.c_str());
+        return false;
+      }
+    }
+  }
+
   return model_config.Validate();
 }
 
@@ -87,7 +125,9 @@ std::string OfflineRecognizerConfig::ToString() const {
   os << "max_active_paths=" << max_active_paths << ", ";
   os << "hotwords_file=\"" << hotwords_file << "\", ";
   os << "hotwords_score=" << hotwords_score << ", ";
-  os << "blank_penalty=" << blank_penalty << ")";
+  os << "blank_penalty=" << blank_penalty << ", ";
+  os << "rule_fsts=\"" << rule_fsts << "\", ";
+  os << "rule_fars=\"" << rule_fars << "\")";
 
   return os.str();
 }

@@ -40,6 +40,12 @@ struct OfflineRecognizerConfig {
 
   float blank_penalty = 0.0;
 
+  // If there are multiple rules, they are applied from left to right.
+  std::string rule_fsts;
+
+  // If there are multiple FST archives, they are applied from left to right.
+  std::string rule_fars;
+
   // only greedy_search is implemented
   // TODO(fangjun): Implement modified_beam_search
 
@@ -50,7 +56,8 @@ struct OfflineRecognizerConfig {
       const OfflineCtcFstDecoderConfig &ctc_fst_decoder_config,
       const std::string &decoding_method, int32_t max_active_paths,
       const std::string &hotwords_file, float hotwords_score,
-      float blank_penalty)
+      float blank_penalty, const std::string &rule_fsts,
+      const std::string &rule_fars)
       : feat_config(feat_config),
         model_config(model_config),
         lm_config(lm_config),
@@ -59,7 +66,9 @@ struct OfflineRecognizerConfig {
         max_active_paths(max_active_paths),
         hotwords_file(hotwords_file),
         hotwords_score(hotwords_score),
-        blank_penalty(blank_penalty) {}
+        blank_penalty(blank_penalty),
+        rule_fsts(rule_fsts),
+        rule_fars(rule_fars) {}
 
   void Register(ParseOptions *po);
   bool Validate() const;

@@ -17,13 +17,14 @@ static void PybindOfflineRecognizerConfig(py::module *m) {
       .def(py::init<const FeatureExtractorConfig &, const OfflineModelConfig &,
                     const OfflineLMConfig &, const OfflineCtcFstDecoderConfig &,
                     const std::string &, int32_t, const std::string &, float,
-                    float>(),
+                    float, const std::string &, const std::string &>(),
            py::arg("feat_config"), py::arg("model_config"),
            py::arg("lm_config") = OfflineLMConfig(),
            py::arg("ctc_fst_decoder_config") = OfflineCtcFstDecoderConfig(),
            py::arg("decoding_method") = "greedy_search",
            py::arg("max_active_paths") = 4, py::arg("hotwords_file") = "",
-           py::arg("hotwords_score") = 1.5, py::arg("blank_penalty") = 0.0)
+           py::arg("hotwords_score") = 1.5, py::arg("blank_penalty") = 0.0,
+           py::arg("rule_fsts") = "", py::arg("rule_fars") = "")
       .def_readwrite("feat_config", &PyClass::feat_config)
       .def_readwrite("model_config", &PyClass::model_config)
       .def_readwrite("lm_config", &PyClass::lm_config)
@@ -33,6 +34,8 @@ static void PybindOfflineRecognizerConfig(py::module *m) {
       .def_readwrite("hotwords_file", &PyClass::hotwords_file)
       .def_readwrite("hotwords_score", &PyClass::hotwords_score)
       .def_readwrite("blank_penalty", &PyClass::blank_penalty)
+      .def_readwrite("rule_fsts", &PyClass::rule_fsts)
+      .def_readwrite("rule_fars", &PyClass::rule_fars)
       .def("__str__", &PyClass::ToString);
 }
 

@@ -54,6 +54,8 @@ class OfflineRecognizer(object):
         debug: bool = False,
         provider: str = "cpu",
         model_type: str = "transducer",
+        rule_fsts: str = "",
+        rule_fars: str = "",
     ):
         """
         Please refer to
@@ -107,6 +109,12 @@ class OfflineRecognizer(object):
             True to show debug messages.
           provider:
             onnxruntime execution providers. Valid values are: cpu, cuda, coreml.
+          rule_fsts:
+            If not empty, it specifies fsts for inverse text normalization.
+            If there are multiple fsts, they are separated by a comma.
+          rule_fars:
+            If not empty, it specifies fst archives for inverse text normalization.
+            If there are multiple archives, they are separated by a comma.
         """
         self = cls.__new__(cls)
         model_config = OfflineModelConfig(
@@ -143,6 +151,8 @@ class OfflineRecognizer(object):
             hotwords_file=hotwords_file,
             hotwords_score=hotwords_score,
             blank_penalty=blank_penalty,
+            rule_fsts=rule_fsts,
+            rule_fars=rule_fars,
         )
         self.recognizer = _Recognizer(recognizer_config)
         self.config = recognizer_config
@@ -159,6 +169,8 @@ class OfflineRecognizer(object):
         decoding_method: str = "greedy_search",
         debug: bool = False,
         provider: str = "cpu",
+        rule_fsts: str = "",
+        rule_fars: str = "",
     ):
         """
         Please refer to
@@ -186,6 +198,12 @@ class OfflineRecognizer(object):
             True to show debug messages.
           provider:
             onnxruntime execution providers. Valid values are: cpu, cuda, coreml.
+          rule_fsts:
+            If not empty, it specifies fsts for inverse text normalization.
+            If there are multiple fsts, they are separated by a comma.
+          rule_fars:
+            If not empty, it specifies fst archives for inverse text normalization.
+            If there are multiple archives, they are separated by a comma.
         """
         self = cls.__new__(cls)
         model_config = OfflineModelConfig(
@@ -206,6 +224,8 @@ class OfflineRecognizer(object):
             feat_config=feat_config,
             model_config=model_config,
             decoding_method=decoding_method,
+            rule_fsts=rule_fsts,
+            rule_fars=rule_fars,
         )
         self.recognizer = _Recognizer(recognizer_config)
         self.config = recognizer_config
@@ -222,6 +242,8 @@ class OfflineRecognizer(object):
         decoding_method: str = "greedy_search",
         debug: bool = False,
         provider: str = "cpu",
+        rule_fsts: str = "",
+        rule_fars: str = "",
     ):
         """
         Please refer to
@@ -251,6 +273,12 @@ class OfflineRecognizer(object):
             True to show debug messages.
           provider:
             onnxruntime execution providers. Valid values are: cpu, cuda, coreml.
+          rule_fsts:
+            If not empty, it specifies fsts for inverse text normalization.
+            If there are multiple fsts, they are separated by a comma.
+          rule_fars:
+            If not empty, it specifies fst archives for inverse text normalization.
+            If there are multiple archives, they are separated by a comma.
         """
         self = cls.__new__(cls)
         model_config = OfflineModelConfig(
@@ -271,6 +299,8 @@ class OfflineRecognizer(object):
             feat_config=feat_config,
             model_config=model_config,
             decoding_method=decoding_method,
+            rule_fsts=rule_fsts,
+            rule_fars=rule_fars,
         )
         self.recognizer = _Recognizer(recognizer_config)
         self.config = recognizer_config
@@ -287,6 +317,8 @@ class OfflineRecognizer(object):
         decoding_method: str = "greedy_search",
         debug: bool = False,
         provider: str = "cpu",
+        rule_fsts: str = "",
+        rule_fars: str = "",
     ):
         """
         Please refer to
@@ -315,6 +347,12 @@ class OfflineRecognizer(object):
             True to show debug messages.
           provider:
             onnxruntime execution providers. Valid values are: cpu, cuda, coreml.
+          rule_fsts:
+            If not empty, it specifies fsts for inverse text normalization.
+            If there are multiple fsts, they are separated by a comma.
+          rule_fars:
+            If not empty, it specifies fst archives for inverse text normalization.
+            If there are multiple archives, they are separated by a comma.
         """
         self = cls.__new__(cls)
         model_config = OfflineModelConfig(
@@ -335,6 +373,8 @@ class OfflineRecognizer(object):
             feat_config=feat_config,
             model_config=model_config,
             decoding_method=decoding_method,
+            rule_fsts=rule_fsts,
+            rule_fars=rule_fars,
         )
         self.recognizer = _Recognizer(recognizer_config)
         self.config = recognizer_config
@@ -353,6 +393,8 @@ class OfflineRecognizer(object):
         debug: bool = False,
         provider: str = "cpu",
         tail_paddings: int = -1,
+        rule_fsts: str = "",
+        rule_fars: str = "",
     ):
         """
         Please refer to
@@ -389,6 +431,12 @@ class OfflineRecognizer(object):
             True to show debug messages.
           provider:
             onnxruntime execution providers. Valid values are: cpu, cuda, coreml.
+          rule_fsts:
+            If not empty, it specifies fsts for inverse text normalization.
+            If there are multiple fsts, they are separated by a comma.
+          rule_fars:
+            If not empty, it specifies fst archives for inverse text normalization.
+            If there are multiple archives, they are separated by a comma.
         """
         self = cls.__new__(cls)
         model_config = OfflineModelConfig(
@@ -415,6 +463,8 @@ class OfflineRecognizer(object):
             feat_config=feat_config,
             model_config=model_config,
             decoding_method=decoding_method,
+            rule_fsts=rule_fsts,
+            rule_fars=rule_fars,
         )
         self.recognizer = _Recognizer(recognizer_config)
         self.config = recognizer_config
@@ -431,6 +481,8 @@ class OfflineRecognizer(object):
         decoding_method: str = "greedy_search",
         debug: bool = False,
         provider: str = "cpu",
+        rule_fsts: str = "",
+        rule_fars: str = "",
     ):
         """
         Please refer to
@@ -458,6 +510,12 @@ class OfflineRecognizer(object):
             True to show debug messages.
           provider:
             onnxruntime execution providers. Valid values are: cpu, cuda, coreml.
+          rule_fsts:
+            If not empty, it specifies fsts for inverse text normalization.
+            If there are multiple fsts, they are separated by a comma.
+          rule_fars:
+            If not empty, it specifies fst archives for inverse text normalization.
+            If there are multiple archives, they are separated by a comma.
         """
         self = cls.__new__(cls)
         model_config = OfflineModelConfig(
@@ -478,6 +536,8 @@ class OfflineRecognizer(object):
             feat_config=feat_config,
             model_config=model_config,
             decoding_method=decoding_method,
+            rule_fsts=rule_fsts,
+            rule_fars=rule_fars,
         )
         self.recognizer = _Recognizer(recognizer_config)
         self.config = recognizer_config
@@ -494,6 +554,8 @@ class OfflineRecognizer(object):
         decoding_method: str = "greedy_search",
         debug: bool = False,
         provider: str = "cpu",
+        rule_fsts: str = "",
+        rule_fars: str = "",
     ):
         """
         Please refer to
@@ -522,6 +584,12 @@ class OfflineRecognizer(object):
             True to show debug messages.
           provider:
             onnxruntime execution providers. Valid values are: cpu, cuda, coreml.
+          rule_fsts:
+            If not empty, it specifies fsts for inverse text normalization.
+            If there are multiple fsts, they are separated by a comma.
+          rule_fars:
+            If not empty, it specifies fst archives for inverse text normalization.
+            If there are multiple archives, they are separated by a comma.
         """
         self = cls.__new__(cls)
         model_config = OfflineModelConfig(
@@ -542,6 +610,8 @@ class OfflineRecognizer(object):
             feat_config=feat_config,
             model_config=model_config,
             decoding_method=decoding_method,
+            rule_fsts=rule_fsts,
+            rule_fars=rule_fars,
         )
         self.recognizer = _Recognizer(recognizer_config)
         self.config = recognizer_config