Transcribe audio with multiple channels

 // transcribeMultichannel generates a transcript from a multichannel speech file and tags the speech from each channel. func transcribeMultichannel(w io.Writer) error { ctx := context.Background() client, err := speech.NewClient(ctx) if err != nil { return fmt.Errorf("NewClient: %w", err) } defer client.Close() data, err := os.ReadFile("../testdata/commercial_stereo.wav") if err != nil { return fmt.Errorf("ReadFile: %w", err) } resp, err := client.Recognize(ctx, &speechpb.RecognizeRequest{ Config: &speechpb.RecognitionConfig{ Encoding: speechpb.RecognitionConfig_LINEAR16, SampleRateHertz: 44100, LanguageCode: "en-US", AudioChannelCount: 2, EnableSeparateRecognitionPerChannel: true, }, Audio: &speechpb.RecognitionAudio{ AudioSource: &speechpb.RecognitionAudio_Content{Content: data}, }, }) if err != nil { return fmt.Errorf("Recognize: %w", err) } // Print the results. for _, result := range resp.Results { for _, alt := range result.Alternatives { fmt.Fprintf(w, "Channel %v: %v\n", result.ChannelTag, alt.Transcript) } } return nil } 

/**  * Transcribe a remote audio file with multi-channel recognition  *  * @param gcsUri the path to the audio file  */ public static void transcribeMultiChannelGcs(String gcsUri) throws Exception {  try (SpeechClient speechClient = SpeechClient.create()) {  // Configure request to enable multiple channels  RecognitionConfig config =  RecognitionConfig.newBuilder()  .setEncoding(AudioEncoding.LINEAR16)  .setLanguageCode("en-US")  .setSampleRateHertz(44100)  .setAudioChannelCount(2)  .setEnableSeparateRecognitionPerChannel(true)  .build();  // Set the remote path for the audio file  RecognitionAudio audio = RecognitionAudio.newBuilder().setUri(gcsUri).build();  // Use non-blocking call for getting file transcription  OperationFuture<LongRunningRecognizeResponse, LongRunningRecognizeMetadata> response =  speechClient.longRunningRecognizeAsync(config, audio);  while (!response.isDone()) {  System.out.println("Waiting for response...");  Thread.sleep(10000);  }  // Just print the first result here.  for (SpeechRecognitionResult result : response.get().getResultsList()) {  // 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);  // Print out the result  System.out.printf("Transcript : %s\n", alternative.getTranscript());  System.out.printf("Channel Tag : %s\n", result.getChannelTag());  }  } }

const speech = require('@google-cloud/speech').v1; // Creates a client const client = new speech.SpeechClient(); const config = {  encoding: 'LINEAR16',  languageCode: 'en-US',  audioChannelCount: 2,  enableSeparateRecognitionPerChannel: true, }; const audio = {  uri: gcsUri, }; const request = {  config: config,  audio: audio, }; const [response] = await client.recognize(request); const transcription = response.results  .map(  result =>  ` Channel Tag: ${result.channelTag} ${result.alternatives[0].transcript}`  )  .join('\n'); console.log(`Transcription: \n${transcription}`);

 from google.cloud import speech def transcribe_file_with_multichannel(audio_file: str) -> speech.RecognizeResponse:  """Transcribe the given audio file synchronously with multi channel.  Args:  audio_file (str): Path to the local audio file to be transcribed.  Example: "resources/multi.wav"  Returns:  cloud_speech.RecognizeResponse: The full response object which includes the transcription results.  """ client = speech.SpeechClient() with open(audio_file, "rb") as f: audio_content = f.read() audio = speech.RecognitionAudio(content=audio_content) config = speech.RecognitionConfig( encoding=speech.RecognitionConfig.AudioEncoding.LINEAR16, sample_rate_hertz=44100, language_code="en-US", audio_channel_count=2, enable_separate_recognition_per_channel=True, ) response = client.recognize(config=config, audio=audio) for i, result in enumerate(response.results): alternative = result.alternatives[0] print("-" * 20) print(f"First alternative of result {i}") print(f"Transcript: {alternative.transcript}") print(f"Channel Tag: {result.channel_tag}") return result