Agfdhyk

I'm trying to extract text from mp4 media file downloaded from youtube. As I'm using google cloud platform so thought to give a try to google cloud speech.

After all the installations and configurations, I copied the following code snippet to get start with:

with io.open(file_name, 'rb') as audio_file:

    content = audio_file.read()

    audio = types.RecognitionAudio(content=content)



config = types.RecognitionConfig(encoding=enums.RecognitionConfig.AudioEncoding.LINEAR16, sample_rate_hertz=16000, language_code='en-US')   



response = client.long_running_recognize(config, audio)

But I got the following error regarding file size:

InvalidArgument: 400 Inline audio exceeds duration limit. Please use a
GCS URI.

Then I read that I should use streams for large media files. So, I tried the following code snippet:

with io.open(file_name, 'rb') as audio_file:

    content = audio_file.read()



#In practice, stream should be a generator yielding chunks of audio data.



stream = [content]

requests = (types.StreamingRecognizeRequest(audio_content=chunk)for chunk in stream)



config = types.RecognitionConfig(encoding=enums.RecognitionConfig.AudioEncoding.LINEAR16,sample_rate_hertz=16000,language_code='en-US')



streaming_config = types.StreamingRecognitionConfig(config=config)



responses = client.streaming_recognize(streaming_config, requests)

But still I got the following error:

InvalidArgument: 400 Invalid audio content: too long.

So, can anyone please suggest an approach to transcribe an mp4 file and extract text. I don't have any complex requirement of very large media file. Media file can be 10-15 mins long maximum. Thanks

The error message means that the file is too big and you need to first copy the media file to Google Cloud Storage and then specify a Cloud Storage URI such as gs://bucket/path/mediafile.

The key to using a Cloud Storage URI is:

RecognitionAudio audio =
RecognitionAudio.newBuilder().setUri(gcsUri).build();

The following code will show you how to specify a GCS URI for input. Google has a complete example on github.

  public static void syncRecognizeGcs(String gcsUri) throws Exception {

    // Instantiates a client with GOOGLE_APPLICATION_CREDENTIALS

    try (SpeechClient speech = SpeechClient.create()) {

      // Builds the request for remote FLAC file

      RecognitionConfig config =

          RecognitionConfig.newBuilder()

              .setEncoding(AudioEncoding.FLAC)

              .setLanguageCode("en-US")

              .setSampleRateHertz(16000)

              .build();

      RecognitionAudio audio = RecognitionAudio.newBuilder().setUri(gcsUri).build();



      // Use blocking call for getting audio transcript

      RecognizeResponse response = speech.recognize(config, audio);

      List<SpeechRecognitionResult> results = response.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.

        SpeechRecognitionAlternative alternative = result.getAlternativesList().get(0);

        System.out.printf("Transcription: %s%n", alternative.getTranscript());

      }

    }

  }