public static void asyncRecognizeGcs(String gcsUri) throws Exception, IOException {
  // Instantiates a client with GOOGLE_APPLICATION_CREDENTIALS
  SpeechClient speech = SpeechClient.create();
  long seconds = 0;
  long minutes = 0;

  // Configure remote file request for Linear16
  RecognitionConfig config = RecognitionConfig.newBuilder()
      .setEncoding(AudioEncoding.LINEAR16)
      .setLanguageCode("en-US")  /*en-US*/ /*fr-CA*/
      .setSampleRateHertz(44100)
      .setEnableWordTimeOffsets(true)
      .build();
  RecognitionAudio audio = RecognitionAudio.newBuilder()
      .setUri(gcsUri)
      .build();

  // Use non-blocking call for getting file transcription
  OperationFuture<LongRunningRecognizeResponse, LongRunningRecognizeMetadata> response =
      speech.longRunningRecognizeAsync(config, audio);
  while (!response.isDone()) {
    System.out.println("Waiting for response...");
    /*Thread.sleep(10000);*/
  }

  List<SpeechRecognitionResult> results = response.get().getResultsList();

  for (SpeechRecognitionResult result: results) {
    // There can be several alternative transcripts for a given chunk of speech. Just use the
    // first (most likely) one here.
    for (int i=0; i<result.getAlternativesCount();i++){
        seconds = result.getAlternativesList().get(i).getWordsList().get(0).getStartTimeOrBuilder().getSeconds();
        minutes = (int) (seconds / 60.0);
        HelloAppEngine.textTransalated = HelloAppEngine.textTransalated + "rn[" + minutes + "m et " + (seconds % 60) + "s][" + result.getAlternativesList().get(i).getConfidence() + "] " + result.getAlternativesList().get(i).getTranscript();
    }

     /*SpeechRecognitionAlternative alternative = result.getAlternativesList().get(0);
    System.out.printf("Transcription: %sn",alternative.getTranscript());
    HelloAppEngine.textTransalated = alternative.getTranscript();*/
  }
  speech.close();
}