Add C and C++ API for Moonshine models (#1476)

cxx-api-examples/CMakeLists.txt

@@ -6,5 +6,8 @@ target_link_libraries(streaming-zipformer-cxx-api sherpa-onnx-cxx-api)
 add_executable(whisper-cxx-api ./whisper-cxx-api.cc)
 target_link_libraries(whisper-cxx-api sherpa-onnx-cxx-api)
 
+add_executable(moonshine-cxx-api ./moonshine-cxx-api.cc)
+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)

cxx-api-examples/moonshine-cxx-api.cc

@@ -0,0 +1,81 @@
+// cxx-api-examples/moonshine-cxx-api.cc
+// Copyright (c)  2024  Xiaomi Corporation
+
+//
+// This file demonstrates how to use Moonshine with sherpa-onnx's C++ API.
+//
+// clang-format off
+//
+// wget https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-moonshine-tiny-en-int8.tar.bz2
+// tar xvf sherpa-onnx-moonshine-tiny-en-int8.tar.bz2
+// rm sherpa-onnx-moonshine-tiny-en-int8.tar.bz2
+//
+// clang-format on
+
+#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.moonshine.preprocessor =
+      "./sherpa-onnx-moonshine-tiny-en-int8/preprocess.onnx";
+  config.model_config.moonshine.encoder =
+      "./sherpa-onnx-moonshine-tiny-en-int8/encode.int8.onnx";
+  config.model_config.moonshine.uncached_decoder =
+      "./sherpa-onnx-moonshine-tiny-en-int8/uncached_decode.int8.onnx";
+  config.model_config.moonshine.cached_decoder =
+      "./sherpa-onnx-moonshine-tiny-en-int8/cached_decode.int8.onnx";
+  config.model_config.tokens =
+      "./sherpa-onnx-moonshine-tiny-en-int8/tokens.txt";
+
+  config.model_config.num_threads = 1;
+
+  std::cout << "Loading model\n";
+  OfflineRecognizer recongizer = OfflineRecognizer::Create(config);
+  if (!recongizer.Get()) {
+    std::cerr << "Please check your config\n";
+    return -1;
+  }
+  std::cout << "Loading model done\n";
+
+  std::string wave_filename =
+      "./sherpa-onnx-moonshine-tiny-en-int8/test_wavs/0.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 = recongizer.CreateStream();
+  stream.AcceptWaveform(wave.sample_rate, wave.samples.data(),
+                        wave.samples.size());
+
+  recongizer.Decode(&stream);
+
+  OfflineRecognizerResult result = recongizer.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: " << 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);
+
+  return 0;
+}