!7

lib 1001094 // JavaLayer 1.0.1
lib 1003620 // mp3spi1.9.4.jar
lib 1003621 // tritonus_share.jar

p {
  S text = or2(smartJoin(args), "hello");
  print("TEXT: " + text);
  
  File mp3 = william_silent(text);
  try { playMp3(mp3); } catch {}
  
  File wavFile1 = prepareProgramFile("speech-big.wav");
  File wavFile = prepareProgramFile("speech.wav");
  //mp3ToWAV(mp3, wavFile1);
  //convertWAVForSphinx(wavFile1, wavFile);
  fixContextClassLoader();
  convertWAVForSphinx(mp3, wavFile);
  print("WAV: " + wavFile + " (" + wavFile.length() + ")");
  //pcall { playWAV(wavFile); }
                                 
  // Try to suppress logging
  // java.util.logging.LogManager.getLogManager().reset(); // no workie
  // java.util.logging.Logger.getLogger("global").setLevel(java.util.logging.Level.SEVERE);
  java.util.logging.Logger.getLogger("").setLevel(java.util.logging.Level.SEVERE);
  
  StreamSpeechRecognizer recognizer = makeSphinxRecognizer();

  print("Recognizing " + wavFile);

  new L<Long> times;
  new L<S> lines;
  for (int i = 0; i < 4; i++) {
    long time = now();
    recognizer.startRecognition(new FileInputStream(wavFile));
    SpeechResult result;
    print("loop");
    lines = new L;
    while ((result = recognizer.getResult()) != null) {
      S line = result.getHypothesis();
      lines.add(line);
      print("Hypothesis: " + line);
    }
    print("done");
    recognizer.stopRecognition();
    times.add(now()-time);
  }
  
  print("Recognition times: " + struct(times));
  
  S recognized = trim(fromLines(lines));
  print("recognized: " + recognized);
  if (match(text, recognized))
    print("perfect match!!!");
  else {
    print("not quite.");
    print("input was: " + text);
  }
}