Add C/CXX/JavaScript API for NeMo Canary models (#2357)

This PR introduces support for NeMo Canary models across C, C++, and JavaScript APIs 
by adding new Canary configuration structures, updating bindings, extending examples,
and enhancing CI workflows.

- Add OfflineCanaryModelConfig to all language bindings (C, C++, JS, ETS).
- Implement SetConfig methods and NAPI wrappers for updating recognizer config at runtime.
- Update examples and CI scripts to demonstrate and test NeMo Canary model usage.

cxx-api-examples/CMakeLists.txt

@@ -27,6 +27,9 @@ target_link_libraries(moonshine-cxx-api sherpa-onnx-cxx-api)
 add_executable(sense-voice-cxx-api ./sense-voice-cxx-api.cc)
 target_link_libraries(sense-voice-cxx-api sherpa-onnx-cxx-api)
 
+add_executable(nemo-canary-cxx-api ./nemo-canary-cxx-api.cc)
+target_link_libraries(nemo-canary-cxx-api sherpa-onnx-cxx-api)
+
 if(SHERPA_ONNX_ENABLE_PORTAUDIO)
   add_executable(sense-voice-simulate-streaming-microphone-cxx-api
     ./sense-voice-simulate-streaming-microphone-cxx-api.cc

cxx-api-examples/nemo-canary-cxx-api.cc

@@ -0,0 +1,101 @@
+// cxx-api-examples/nemo-canary-cxx-api.cc
+//
+// Copyright (c)  2025  Xiaomi Corporation
+
+//
+// This file demonstrates how to use NeMo Canary models with
+// sherpa-onnx's C++ API.
+//
+// clang-format off
+//
+// wget https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-nemo-canary-180m-flash-en-es-de-fr-int8.tar.bz2
+// tar xvf sherpa-onnx-nemo-canary-180m-flash-en-es-de-fr-int8.tar.bz2
+// rm sherpa-onnx-nemo-canary-180m-flash-en-es-de-fr-int8.tar.bz2
+//
+// clang-format on
+//
+// see https://k2-fsa.github.io/sherpa/onnx/nemo/canary.html
+// for details
+
+#include <chrono>  // NOLINT
+#include <iostream>
+#include <string>
+
+#include "sherpa-onnx/c-api/cxx-api.h"
+
+int32_t main() {
+  using namespace sherpa_onnx::cxx;  // NOLINT
+  OfflineRecognizerConfig config;
+
+  config.model_config.canary.encoder =
+      "sherpa-onnx-nemo-canary-180m-flash-en-es-de-fr-int8/encoder.int8.onnx";
+  config.model_config.canary.decoder =
+      "sherpa-onnx-nemo-canary-180m-flash-en-es-de-fr-int8/decoder.int8.onnx";
+
+  // our input audio is German, so we set src_lang to "de"
+  config.model_config.canary.src_lang = "de";
+
+  // we can set tgt_lang either to de or en in this specific case
+  config.model_config.canary.tgt_lang = "en";
+  config.model_config.tokens =
+      "sherpa-onnx-nemo-canary-180m-flash-en-es-de-fr-int8/tokens.txt";
+
+  config.model_config.num_threads = 1;
+
+  std::cout << "Loading model\n";
+  OfflineRecognizer recognizer = OfflineRecognizer::Create(config);
+  if (!recognizer.Get()) {
+    std::cerr << "Please check your config\n";
+    return -1;
+  }
+  std::cout << "Loading model done\n";
+
+  std::string wave_filename =
+      "./sherpa-onnx-nemo-canary-180m-flash-en-es-de-fr-int8/test_wavs/de.wav";
+
+  Wave wave = ReadWave(wave_filename);
+  if (wave.samples.empty()) {
+    std::cerr << "Failed to read: '" << wave_filename << "'\n";
+    return -1;
+  }
+
+  std::cout << "Start recognition\n";
+  const auto begin = std::chrono::steady_clock::now();
+
+  OfflineStream stream = recognizer.CreateStream();
+  stream.AcceptWaveform(wave.sample_rate, wave.samples.data(),
+                        wave.samples.size());
+
+  recognizer.Decode(&stream);
+
+  OfflineRecognizerResult result = recognizer.GetResult(&stream);
+
+  const auto end = std::chrono::steady_clock::now();
+  const float elapsed_seconds =
+      std::chrono::duration_cast<std::chrono::milliseconds>(end - begin)
+          .count() /
+      1000.;
+  float duration = wave.samples.size() / static_cast<float>(wave.sample_rate);
+  float rtf = elapsed_seconds / duration;
+
+  std::cout << "text (English): " << result.text << "\n";
+  printf("Number of threads: %d\n", config.model_config.num_threads);
+  printf("Duration: %.3fs\n", duration);
+  printf("Elapsed seconds: %.3fs\n", elapsed_seconds);
+  printf("(Real time factor) RTF = %.3f / %.3f = %.3f\n", elapsed_seconds,
+         duration, rtf);
+
+  // now output text in German
+  config.model_config.canary.tgt_lang = "de";
+  recognizer.SetConfig(config);
+  stream = recognizer.CreateStream();
+  stream.AcceptWaveform(wave.sample_rate, wave.samples.data(),
+                        wave.samples.size());
+
+  recognizer.Decode(&stream);
+
+  result = recognizer.GetResult(&stream);
+  std::cout << "text (German): " << result.text << "\n";
+
+  return 0;
+}