Add C++ example for real-time ASR with nvidia/parakeet-tdt-0.6b-v2. (#2201)

@@ -36,6 +36,15 @@ if(SHERPA_ONNX_ENABLE_PORTAUDIO)
     sherpa-onnx-cxx-api
     portaudio_static
   )
+
+  add_executable(parakeet-tdt-simulate-streaming-microphone-cxx-api
+    ./parakeet-tdt-simulate-streaming-microphone-cxx-api.cc
+    ${CMAKE_CURRENT_LIST_DIR}/../sherpa-onnx/csrc/microphone.cc
+  )
+  target_link_libraries(parakeet-tdt-simulate-streaming-microphone-cxx-api
+    sherpa-onnx-cxx-api
+    portaudio_static
+  )
 endif()
 
 add_executable(sense-voice-with-hr-cxx-api ./sense-voice-with-hr-cxx-api.cc)

+// cxx-api-examples/parakeet-tdt-simulate-streaming-microphone-cxx-api.cc
+// Copyright (c)  2025  Xiaomi Corporation
+
+//
+// This file demonstrates how to use parakeet-tdt with sherpa-onnx's C++ API
+// for streaming speech recognition from a microphone.
+//
+// clang-format off
+//
+// wget https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/silero_vad.onnx
+//
+// wget https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-nemo-parakeet-tdt-0.6b-v2-int8.tar.bz2
+// tar xvf sherpa-onnx-nemo-parakeet-tdt-0.6b-v2-int8.tar.bz2
+// rm sherpa-onnx-nemo-parakeet-tdt-0.6b-v2-int8.tar.bz2
+//
+// clang-format on
+
+#include <signal.h>
+#include <stdio.h>
+#include <stdlib.h>
+
+#include <chrono>              // NOLINT
+#include <condition_variable>  // NOLINT
+#include <iostream>
+#include <mutex>  // NOLINT
+#include <queue>
+#include <vector>
+
+#include "portaudio.h"       // NOLINT
+#include "sherpa-display.h"  // NOLINT
+#include "sherpa-onnx/c-api/cxx-api.h"
+#include "sherpa-onnx/csrc/microphone.h"
+
+std::queue<std::vector<float>> samples_queue;
+std::condition_variable condition_variable;
+std::mutex mutex;
+bool stop = false;
+
+static void Handler(int32_t /*sig*/) {
+  stop = true;
+  condition_variable.notify_one();
+  fprintf(stderr, "\nCaught Ctrl + C. Exiting...\n");
+}
+
+static int32_t RecordCallback(const void *input_buffer,
+                              void * /*output_buffer*/,
+                              unsigned long frames_per_buffer,  // NOLINT
+                              const PaStreamCallbackTimeInfo * /*time_info*/,
+                              PaStreamCallbackFlags /*status_flags*/,
+                              void * /*user_data*/) {
+  std::lock_guard<std::mutex> lock(mutex);
+  samples_queue.emplace(
+      reinterpret_cast<const float *>(input_buffer),
+      reinterpret_cast<const float *>(input_buffer) + frames_per_buffer);
+  condition_variable.notify_one();
+
+  return stop ? paComplete : paContinue;
+}
+
+static sherpa_onnx::cxx::VoiceActivityDetector CreateVad() {
+  using namespace sherpa_onnx::cxx;  // NOLINT
+  VadModelConfig config;
+  config.silero_vad.model = "./silero_vad.onnx";
+  config.silero_vad.threshold = 0.5;
+  config.silero_vad.min_silence_duration = 0.25;
+  config.silero_vad.min_speech_duration = 0.25;
+  config.silero_vad.max_speech_duration = 5;
+  config.sample_rate = 16000;
+  config.debug = false;
+
+  VoiceActivityDetector vad = VoiceActivityDetector::Create(config, 60);
+  if (!vad.Get()) {
+    std::cerr << "Failed to create VAD. Please check your config\n";
+    exit(-1);
+  }
+
+  return vad;
+}
+
+static sherpa_onnx::cxx::OfflineRecognizer CreateOfflineRecognizer() {
+  using namespace sherpa_onnx::cxx;  // NOLINT
+  OfflineRecognizerConfig config;
+
+  config.model_config.transducer.encoder =
+      "./sherpa-onnx-nemo-parakeet-tdt-0.6b-v2-int8/encoder.int8.onnx";
+  config.model_config.transducer.decoder =
+      "./sherpa-onnx-nemo-parakeet-tdt-0.6b-v2-int8/decoder.int8.onnx";
+  config.model_config.transducer.joiner =
+      "./sherpa-onnx-nemo-parakeet-tdt-0.6b-v2-int8/joiner.int8.onnx";
+  config.model_config.tokens =
+      "./sherpa-onnx-nemo-parakeet-tdt-0.6b-v2-int8/tokens.txt";
+
+  config.model_config.model_type = "nemo_transducer";
+
+  config.model_config.num_threads = 2;
+  config.model_config.debug = false;
+
+  std::cout << "Loading model\n";
+  OfflineRecognizer recognizer = OfflineRecognizer::Create(config);
+  if (!recognizer.Get()) {
+    std::cerr << "Please check your config\n";
+    exit(-1);
+  }
+  std::cout << "Loading model done\n";
+  return recognizer;
+}
+
+int32_t main() {
+  signal(SIGINT, Handler);
+
+  using namespace sherpa_onnx::cxx;  // NOLINT
+
+  auto vad = CreateVad();
+  auto recognizer = CreateOfflineRecognizer();
+
+  sherpa_onnx::Microphone mic;
+
+  PaDeviceIndex num_devices = Pa_GetDeviceCount();
+  std::cout << "Num devices: " << num_devices << "\n";
+  if (num_devices == 0) {
+    std::cerr << "  If you are using Linux, please try "
+                 "./build/bin/sense-voice-simulate-streaming-alsa-cxx-api\n";
+    return -1;
+  }
+
+  int32_t device_index = Pa_GetDefaultInputDevice();
+
+  const char *pDeviceIndex = std::getenv("SHERPA_ONNX_MIC_DEVICE");
+  if (pDeviceIndex) {
+    fprintf(stderr, "Use specified device: %s\n", pDeviceIndex);
+    device_index = atoi(pDeviceIndex);
+  }
+
+  for (int32_t i = 0; i != num_devices; ++i) {
+    const PaDeviceInfo *info = Pa_GetDeviceInfo(i);
+    fprintf(stderr, " %s %d %s\n", (i == device_index) ? "*" : " ", i,
+            info->name);
+  }
+
+  PaStreamParameters param;
+  param.device = device_index;
+
+  fprintf(stderr, "Use device: %d\n", param.device);
+
+  const PaDeviceInfo *info = Pa_GetDeviceInfo(param.device);
+  fprintf(stderr, "  Name: %s\n", info->name);
+  fprintf(stderr, "  Max input channels: %d\n", info->maxInputChannels);
+
+  param.channelCount = 1;
+  param.sampleFormat = paFloat32;
+
+  param.suggestedLatency = info->defaultLowInputLatency;
+  param.hostApiSpecificStreamInfo = nullptr;
+  float mic_sample_rate = 16000;
+  const char *sample_rate_str = std::getenv("SHERPA_ONNX_MIC_SAMPLE_RATE");
+  if (sample_rate_str) {
+    fprintf(stderr, "Use sample rate %f for mic\n", mic_sample_rate);
+    mic_sample_rate = atof(sample_rate_str);
+  }
+  float sample_rate = 16000;
+  LinearResampler resampler;
+  if (mic_sample_rate != sample_rate) {
+    float min_freq = std::min(mic_sample_rate, sample_rate);
+    float lowpass_cutoff = 0.99 * 0.5 * min_freq;
+
+    int32_t lowpass_filter_width = 6;
+    resampler = LinearResampler::Create(mic_sample_rate, sample_rate,
+                                        lowpass_cutoff, lowpass_filter_width);
+  }
+
+  PaStream *stream;
+  PaError err =
+      Pa_OpenStream(&stream, &param, nullptr, /* &outputParameters, */
+                    mic_sample_rate,
+                    0,               // frames per buffer
+                    paClipOff,       // we won't output out of range samples
+                                     // so don't bother clipping them
+                    RecordCallback,  // RecordCallback is run in a separate
+                                     // thread created by portaudio
+                    nullptr);
+  if (err != paNoError) {
+    fprintf(stderr, "portaudio error: %s\n", Pa_GetErrorText(err));
+    exit(EXIT_FAILURE);
+  }
+
+  err = Pa_StartStream(stream);
+  if (err != paNoError) {
+    fprintf(stderr, "portaudio error: %s\n", Pa_GetErrorText(err));
+    exit(EXIT_FAILURE);
+  }
+
+  int32_t window_size = 512;  // samples, please don't change
+
+  int32_t offset = 0;
+  std::vector<float> buffer;
+  bool speech_started = false;
+
+  auto started_time = std::chrono::steady_clock::now();
+
+  SherpaDisplay display;
+
+  std::cout << "Started! Please speak\n";
+
+  while (!stop) {
+    {
+      std::unique_lock<std::mutex> lock(mutex);
+      while (samples_queue.empty() && !stop) {
+        condition_variable.wait(lock);
+      }
+
+      const auto &s = samples_queue.front();
+      if (!resampler.Get()) {
+        buffer.insert(buffer.end(), s.begin(), s.end());
+      } else {
+        auto resampled = resampler.Resample(s.data(), s.size(), false);
+        buffer.insert(buffer.end(), resampled.begin(), resampled.end());
+      }
+
+      samples_queue.pop();
+    }
+
+    for (; offset + window_size < buffer.size(); offset += window_size) {
+      vad.AcceptWaveform(buffer.data() + offset, window_size);
+      if (!speech_started && vad.IsDetected()) {
+        speech_started = true;
+        started_time = std::chrono::steady_clock::now();
+      }
+    }
+    if (!speech_started) {
+      if (buffer.size() > 10 * window_size) {
+        offset -= buffer.size() - 10 * window_size;
+        buffer = {buffer.end() - 10 * window_size, buffer.end()};
+      }
+    }
+
+    auto current_time = std::chrono::steady_clock::now();
+    const float elapsed_seconds =
+        std::chrono::duration_cast<std::chrono::milliseconds>(current_time -
+                                                              started_time)
+            .count() /
+        1000.;
+
+    if (speech_started && elapsed_seconds > 0.2) {
+      OfflineStream stream = recognizer.CreateStream();
+      stream.AcceptWaveform(sample_rate, buffer.data(), buffer.size());
+
+      recognizer.Decode(&stream);
+
+      OfflineRecognizerResult result = recognizer.GetResult(&stream);
+      display.UpdateText(result.text);
+      display.Display();
+
+      started_time = std::chrono::steady_clock::now();
+    }
+
+    while (!vad.IsEmpty()) {
+      auto segment = vad.Front();
+
+      vad.Pop();
+
+      OfflineStream stream = recognizer.CreateStream();
+      stream.AcceptWaveform(sample_rate, segment.samples.data(),
+                            segment.samples.size());
+
+      recognizer.Decode(&stream);
+
+      OfflineRecognizerResult result = recognizer.GetResult(&stream);
+
+      display.UpdateText(result.text);
+      display.FinalizeCurrentSentence();
+      display.Display();
+
+      buffer.clear();
+      offset = 0;
+      speech_started = false;
+    }
+  }
+
+  err = Pa_CloseStream(stream);
+  if (err != paNoError) {
+    fprintf(stderr, "portaudio error: %s\n", Pa_GetErrorText(err));
+    exit(EXIT_FAILURE);
+  }
+
+  return 0;
+}

@@ -14,7 +14,8 @@ class SherpaDisplay {
   void UpdateText(const std::string &text) { current_text_ = text; }
 
   void FinalizeCurrentSentence() {
-    if (!current_text_.empty() && current_text_[0] != ' ') {
+    if (!current_text_.empty() &&
+        (current_text_[0] != ' ' || current_text_.size() > 1)) {
       sentences_.push_back({GetCurrentDateTime(), std::move(current_text_)});
     }
   }