Add C API for punctuation (#768)

@@ -11,9 +11,22 @@ log() {
 echo "SLID_EXE is $SLID_EXE"
 echo "SID_EXE is $SID_EXE"
 echo "AT_EXE is $AT_EXE"
+echo "PUNCT_EXE is $PUNCT_EXE"
 echo "PATH: $PATH"
 
 log "------------------------------------------------------------"
+log "Test adding punctuations                                    "
+log "------------------------------------------------------------"
+
+curl -SL -O https://github.com/k2-fsa/sherpa-onnx/releases/download/punctuation-models/sherpa-onnx-punct-ct-transformer-zh-en-vocab272727-2024-04-12.tar.bz2
+ls -lh
+tar xf sherpa-onnx-punct-ct-transformer-zh-en-vocab272727-2024-04-12.tar.bz2
+ls -lh sherpa-onnx-punct-ct-transformer-zh-en-vocab272727-2024-04-12
+rm sherpa-onnx-punct-ct-transformer-zh-en-vocab272727-2024-04-12.tar.bz2
+$PUNCT_EXE
+rm -rf sherpa-onnx-punct-ct-transformer-zh-en-vocab272727-2024-04-12
+
+log "------------------------------------------------------------"
 log "Test audio tagging                                          "
 log "------------------------------------------------------------"
 

@@ -126,7 +126,7 @@ jobs:
       - uses: actions/upload-artifact@v4
         with:
           name: release-${{ matrix.build_type }}-with-shared-lib-${{ matrix.shared_lib }}-with-tts-${{ matrix.with_tts }}
-          path: build/bin/*
+          path: install/*
 
       - name: Test offline punctuation
         shell: bash
@@ -143,6 +143,7 @@ jobs:
           export SLID_EXE=spoken-language-identification-c-api
           export SID_EXE=speaker-identification-c-api
           export AT_EXE=audio-tagging-c-api
+          export PUNCT_EXE=add-punctuation-c-api
 
           .github/scripts/test-c-api.sh
 

@@ -122,6 +122,7 @@ jobs:
           export SLID_EXE=spoken-language-identification-c-api
           export SID_EXE=speaker-identification-c-api
           export AT_EXE=audio-tagging-c-api
+          export PUNCT_EXE=add-punctuation-c-api
 
           .github/scripts/test-c-api.sh
 

@@ -89,6 +89,7 @@ jobs:
           export SLID_EXE=spoken-language-identification-c-api.exe
           export SID_EXE=speaker-identification-c-api.exe
           export AT_EXE=audio-tagging-c-api.exe
+          export PUNCT_EXE=add-punctuation-c-api.exe
 
           .github/scripts/test-c-api.sh
 

@@ -89,6 +89,7 @@ jobs:
           export SLID_EXE=spoken-language-identification-c-api.exe
           export SID_EXE=speaker-identification-c-api.exe
           export AT_EXE=audio-tagging-c-api.exe
+          export PUNCT_EXE=add-punctuation-c-api.exe
 
           .github/scripts/test-c-api.sh
 

 cmake_minimum_required(VERSION 3.13 FATAL_ERROR)
 project(sherpa-onnx)
 
-set(SHERPA_ONNX_VERSION "1.9.19")
+set(SHERPA_ONNX_VERSION "1.9.21")
 
 # Disable warning about
 #

@@ -21,6 +21,9 @@ target_link_libraries(streaming-hlg-decode-file-c-api sherpa-onnx-c-api)
 add_executable(audio-tagging-c-api audio-tagging-c-api.c)
 target_link_libraries(audio-tagging-c-api sherpa-onnx-c-api)
 
+add_executable(add-punctuation-c-api add-punctuation-c-api.c)
+target_link_libraries(add-punctuation-c-api sherpa-onnx-c-api)
+
 if(SHERPA_ONNX_HAS_ALSA)
   add_subdirectory(./asr-microphone-example)
 elseif((UNIX AND NOT APPLE) OR LINUX)

+// c-api-examples/add-punctuation-c-api.c
+//
+// Copyright (c)  2024  Xiaomi Corporation
+
+// We assume you have pre-downloaded the model files for testing
+// from https://github.com/k2-fsa/sherpa-onnx/releases/tag/punctuation-models
+//
+// An example is given below:
+//
+// clang-format off
+//
+// wget https://github.com/k2-fsa/sherpa-onnx/releases/download/punctuation-models/sherpa-onnx-punct-ct-transformer-zh-en-vocab272727-2024-04-12.tar.bz2
+// tar xvf sherpa-onnx-punct-ct-transformer-zh-en-vocab272727-2024-04-12.tar.bz2
+// rm sherpa-onnx-punct-ct-transformer-zh-en-vocab272727-2024-04-12.tar.bz2
+//
+// clang-format on
+
+#include <stdio.h>
+#include <stdlib.h>
+#include <string.h>
+
+#include "sherpa-onnx/c-api/c-api.h"
+
+int32_t main() {
+  SherpaOnnxOfflinePunctuationConfig config;
+  memset(&config, 0, sizeof(config));
+
+  // clang-format off
+  config.model.ct_transformer = "./sherpa-onnx-punct-ct-transformer-zh-en-vocab272727-2024-04-12/model.onnx";
+  // clang-format on
+  config.model.num_threads = 1;
+  config.model.debug = 1;
+  config.model.provider = "cpu";
+
+  const SherpaOnnxOfflinePunctuation *punct =
+      SherpaOnnxCreateOfflinePunctuation(&config);
+  if (!punct) {
+    fprintf(stderr,
+            "Failed to create OfflinePunctuation. Please check your config");
+    return -1;
+  }
+
+  const char *texts[] = {
+      "这是一个测试你好吗How are you我很好thank you are you ok谢谢你",
+      "我们都是木头人不会说话不会动",
+      "The African blogosphere is rapidly expanding bringing more voices "
+      "online in the form of commentaries opinions analyses rants and poetry",
+  };
+
+  int32_t n = sizeof(texts) / sizeof(const char *);
+  fprintf(stderr, "n: %d\n", n);
+
+  fprintf(stderr, "--------------------\n");
+  for (int32_t i = 0; i != n; ++i) {
+    const char *text_with_punct =
+        SherpaOfflinePunctuationAddPunct(punct, texts[i]);
+
+    fprintf(stderr, "Input text: %s\n", texts[i]);
+    fprintf(stderr, "Output text: %s\n", text_with_punct);
+    SherpaOfflinePunctuationFreeText(text_with_punct);
+    fprintf(stderr, "--------------------\n");
+  }
+
+  SherpaOnnxDestroyOfflinePunctuation(punct);
+
+  return 0;
+};

+#!/usr/bin/env python3
+
+# Real-time speech recognition from a microphone with sherpa-onnx Python API
+# with endpoint detection.
+# This script uses a streaming paraformer
+#
+# Please refer to
+# https://k2-fsa.github.io/sherpa/onnx/pretrained_models/online-paraformer/paraformer-models.html#
+# to download pre-trained models
+
+import sys
+from pathlib import Path
+
+try:
+    import sounddevice as sd
+except ImportError:
+    print("Please install sounddevice first. You can use")
+    print()
+    print("  pip install sounddevice")
+    print()
+    print("to install it")
+    sys.exit(-1)
+
+import sherpa_onnx
+
+
+def assert_file_exists(filename: str):
+    assert Path(filename).is_file(), (
+        f"{filename} does not exist!\n"
+        "Please refer to "
+        "https://k2-fsa.github.io/sherpa/onnx/pretrained_models/online-paraformer/paraformer-models.html to download it"
+    )
+
+
+def create_recognizer():
+    encoder = "./sherpa-onnx-streaming-paraformer-bilingual-zh-en/encoder.int8.onnx"
+    decoder = "./sherpa-onnx-streaming-paraformer-bilingual-zh-en/decoder.int8.onnx"
+    tokens = "./sherpa-onnx-streaming-paraformer-bilingual-zh-en/tokens.txt"
+    assert_file_exists(encoder)
+    assert_file_exists(decoder)
+    assert_file_exists(tokens)
+    recognizer = sherpa_onnx.OnlineRecognizer.from_paraformer(
+        tokens=tokens,
+        encoder=encoder,
+        decoder=decoder,
+        num_threads=1,
+        sample_rate=16000,
+        feature_dim=80,
+        enable_endpoint_detection=True,
+        rule1_min_trailing_silence=2.4,
+        rule2_min_trailing_silence=1.2,
+        rule3_min_utterance_length=300,  # it essentially disables this rule
+    )
+    return recognizer
+
+
+def main():
+    devices = sd.query_devices()
+    if len(devices) == 0:
+        print("No microphone devices found")
+        sys.exit(0)
+
+    print(devices)
+    default_input_device_idx = sd.default.device[0]
+    print(f'Use default device: {devices[default_input_device_idx]["name"]}')
+
+    recognizer = create_recognizer()
+    print("Started! Please speak")
+
+    # The model is using 16 kHz, we use 48 kHz here to demonstrate that
+    # sherpa-onnx will do resampling inside.
+    sample_rate = 48000
+    samples_per_read = int(0.1 * sample_rate)  # 0.1 second = 100 ms
+
+    stream = recognizer.create_stream()
+
+    last_result = ""
+    segment_id = 0
+    with sd.InputStream(channels=1, dtype="float32", samplerate=sample_rate) as s:
+        while True:
+            samples, _ = s.read(samples_per_read)  # a blocking read
+            samples = samples.reshape(-1)
+            stream.accept_waveform(sample_rate, samples)
+            while recognizer.is_ready(stream):
+                recognizer.decode_stream(stream)
+
+            is_endpoint = recognizer.is_endpoint(stream)
+
+            result = recognizer.get_result(stream)
+
+            if result and (last_result != result):
+                last_result = result
+                print("\r{}:{}".format(segment_id, result), end="", flush=True)
+            if is_endpoint:
+                if result:
+                    print("\r{}:{}".format(segment_id, result), flush=True)
+                    segment_id += 1
+                recognizer.reset(stream)
+
+
+if __name__ == "__main__":
+    try:
+        main()
+    except KeyboardInterrupt:
+        print("\nCaught Ctrl + C. Exiting")

@@ -15,6 +15,7 @@
 #include "sherpa-onnx/csrc/display.h"
 #include "sherpa-onnx/csrc/keyword-spotter.h"
 #include "sherpa-onnx/csrc/macros.h"
+#include "sherpa-onnx/csrc/offline-punctuation.h"
 #include "sherpa-onnx/csrc/offline-recognizer.h"
 #include "sherpa-onnx/csrc/online-recognizer.h"
 #include "sherpa-onnx/csrc/speaker-embedding-extractor.h"
@@ -1299,3 +1300,48 @@ void SherpaOnnxAudioTaggingFreeResults(
 
   delete[] events;
 }
+
+struct SherpaOnnxOfflinePunctuation {
+  std::unique_ptr<sherpa_onnx::OfflinePunctuation> impl;
+};
+
+const SherpaOnnxOfflinePunctuation *SherpaOnnxCreateOfflinePunctuation(
+    const SherpaOnnxOfflinePunctuationConfig *config) {
+  sherpa_onnx::OfflinePunctuationConfig c;
+  c.model.ct_transformer = SHERPA_ONNX_OR(config->model.ct_transformer, "");
+  c.model.num_threads = SHERPA_ONNX_OR(config->model.num_threads, 1);
+  c.model.debug = config->model.debug;
+  c.model.provider = SHERPA_ONNX_OR(config->model.provider, "cpu");
+
+  if (c.model.debug) {
+    SHERPA_ONNX_LOGE("%s\n", c.ToString().c_str());
+  }
+
+  if (!c.Validate()) {
+    SHERPA_ONNX_LOGE("Errors in config");
+    return nullptr;
+  }
+
+  SherpaOnnxOfflinePunctuation *punct = new SherpaOnnxOfflinePunctuation;
+  punct->impl = std::make_unique<sherpa_onnx::OfflinePunctuation>(c);
+
+  return punct;
+}
+
+void SherpaOnnxDestroyOfflinePunctuation(
+    const SherpaOnnxOfflinePunctuation *punct) {
+  delete punct;
+}
+
+const char *SherpaOfflinePunctuationAddPunct(
+    const SherpaOnnxOfflinePunctuation *punct, const char *text) {
+  std::string text_with_punct = punct->impl->AddPunctuation(text);
+
+  char *ans = new char[text_with_punct.size() + 1];
+  std::copy(text_with_punct.begin(), text_with_punct.end(), ans);
+  ans[text_with_punct.size()] = 0;
+
+  return ans;
+}
+
+void SherpaOfflinePunctuationFreeText(const char *text) { delete[] text; }

@@ -1149,6 +1149,41 @@ SherpaOnnxAudioTaggingCompute(const SherpaOnnxAudioTagging *tagger,
 SHERPA_ONNX_API void SherpaOnnxAudioTaggingFreeResults(
     const SherpaOnnxAudioEvent *const *p);
 
+// ============================================================
+// For punctuation
+// ============================================================
+
+SHERPA_ONNX_API typedef struct SherpaOnnxOfflinePunctuationModelConfig {
+  const char *ct_transformer;
+  int32_t num_threads;
+  int32_t debug;  // true to print debug information of the model
+  const char *provider;
+} SherpaOnnxOfflinePunctuationModelConfig;
+
+SHERPA_ONNX_API typedef struct SherpaOnnxOfflinePunctuationConfig {
+  SherpaOnnxOfflinePunctuationModelConfig model;
+} SherpaOnnxOfflinePunctuationConfig;
+
+SHERPA_ONNX_API typedef struct SherpaOnnxOfflinePunctuation
+    SherpaOnnxOfflinePunctuation;
+
+// The user has to invoke SherpaOnnxDestroyOfflinePunctuation()
+// to free the returned pointer to avoid memory leak
+SHERPA_ONNX_API const SherpaOnnxOfflinePunctuation *
+SherpaOnnxCreateOfflinePunctuation(
+    const SherpaOnnxOfflinePunctuationConfig *config);
+
+SHERPA_ONNX_API void SherpaOnnxDestroyOfflinePunctuation(
+    const SherpaOnnxOfflinePunctuation *punct);
+
+// Add punctuations to the input text.
+// The user has to invoke SherpaOfflinePunctuationFreeText()
+// to free the returned pointer to avoid memory leak
+SHERPA_ONNX_API const char *SherpaOfflinePunctuationAddPunct(
+    const SherpaOnnxOfflinePunctuation *punct, const char *text);
+
+SHERPA_ONNX_API void SherpaOfflinePunctuationFreeText(const char *text);
+
 #if defined(__GNUC__)
 #pragma GCC diagnostic pop
 #endif

@@ -134,25 +134,40 @@ class OfflinePunctuationCtTransformerImpl : public OfflinePunctuationImpl {
       }
     }  // for (int32_t i = 0; i != num_segments; ++i)
 
-    std::string ans;
+    if (punctuations.empty()) {
+      return text + meta_data.id2punct[meta_data.dot_id];
+    }
+    std::vector<std::string> words_punct;
 
     for (int32_t i = 0; i != static_cast<int32_t>(punctuations.size()); ++i) {
-      if (i > tokens.size()) {
+      if (i >= tokens.size()) {
         break;
       }
-      const std::string &w = tokens[i];
-      if (i > 0 && !(ans.back() & 0x80) && !(w[0] & 0x80)) {
-        ans.push_back(' ');
+      std::string &w = tokens[i];
+      if (i > 0 && !(words_punct.back()[0] & 0x80) && !(w[0] & 0x80)) {
+        words_punct.push_back(" ");
       }
-      ans.append(w);
+      words_punct.push_back(std::move(w));
+
       if (punctuations[i] != meta_data.underline_id) {
-        ans.append(meta_data.id2punct[punctuations[i]]);
+        words_punct.push_back(meta_data.id2punct[punctuations[i]]);
       }
     }
-    if (ans.back() != meta_data.dot_id && ans.back() != meta_data.quest_id) {
-      ans.push_back(meta_data.dot_id);
+
+    if (words_punct.back() == meta_data.id2punct[meta_data.comma_id] ||
+        words_punct.back() == meta_data.id2punct[meta_data.pause_id]) {
+      words_punct.back() = meta_data.id2punct[meta_data.dot_id];
+    }
+
+    if (words_punct.back() != meta_data.id2punct[meta_data.dot_id] &&
+        words_punct.back() != meta_data.id2punct[meta_data.quest_id]) {
+      words_punct.push_back(meta_data.id2punct[meta_data.dot_id]);
     }
 
+    std::string ans;
+    for (const auto &w : words_punct) {
+      ans.append(w);
+    }
     return ans;
   }
 

@@ -4,6 +4,8 @@
 
 #include "sherpa-onnx/python/csrc/offline-punctuation.h"
 
+#include <string>
+
 #include "sherpa-onnx/csrc/offline-punctuation.h"
 
 namespace sherpa_onnx {