!7

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_2(mp3, wavFile1);

  convertWAVForSphinx(wavFile1, wavFile);

  // direct conversion leads to robot voice bug

  // 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);

  long loadTime = sysNow();

  StreamSpeechRecognizer2 recognizer = new StreamSpeechRecognizer2(makeSphinxConfig());

  loadTime = sysNow()-loadTime;

  print("Recognizing " + wavFile);

  new L<Long> times;

  new L<S> lines;

  for (int i = 0; i < 10; 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("Loading time: " + loadTime + ". Recognition times (ms): " + 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);

  }

}