Transcribe a file in Cloud Storage using a transcription model

  import 
  
 ( 
  
 "context" 
  
 "fmt" 
  
 "io" 
  
 "strings" 
  
 speech 
  
 "cloud.google.com/go/speech/apiv1" 
  
 "cloud.google.com/go/speech/apiv1/speechpb" 
 ) 
 // transcribe_model_selection_gcs Transcribes the given audio file asynchronously with 
 // the selected model. 
 func 
  
 transcribe_model_selection_gcs 
 ( 
 w 
  
 io 
 . 
 Writer 
 ) 
  
 error 
  
 { 
  
 ctx 
  
 := 
  
 context 
 . 
 Background 
 () 
  
 client 
 , 
  
 err 
  
 := 
  
 speech 
 . 
  NewClient 
 
 ( 
 ctx 
 ) 
  
 if 
  
 err 
  
 != 
  
 nil 
  
 { 
  
 return 
  
 fmt 
 . 
 Errorf 
 ( 
 "NewClient: %w" 
 , 
  
 err 
 ) 
  
 } 
  
 defer 
  
 client 
 . 
 Close 
 () 
  
 audio 
  
 := 
  
& speechpb 
 . 
 RecognitionAudio 
 { 
  
 AudioSource 
 : 
  
& speechpb 
 . 
 RecognitionAudio_Uri 
 { 
 Uri 
 : 
  
 "gs://cloud-samples-tests/speech/Google_Gnome.wav" 
 }, 
  
 } 
  
 // The speech recognition model to use 
  
 // See, https://cloud.google.com/speech-to-text/docs/speech-to-text-requests#select-model 
  
 recognitionConfig 
  
 := 
  
& speechpb 
 . 
 RecognitionConfig 
 { 
  
 Encoding 
 : 
  
 speechpb 
 . 
  RecognitionConfig_LINEAR16 
 
 , 
  
 SampleRateHertz 
 : 
  
 16000 
 , 
  
 LanguageCode 
 : 
  
 "en-US" 
 , 
  
 Model 
 : 
  
 "video" 
 , 
  
 } 
  
 longRunningRecognizeRequest 
  
 := 
  
& speechpb 
 . 
 LongRunningRecognizeRequest 
 { 
  
 Config 
 : 
  
 recognitionConfig 
 , 
  
 Audio 
 : 
  
 audio 
 , 
  
 } 
  
 operation 
 , 
  
 err 
  
 := 
  
 client 
 . 
 LongRunningRecognize 
 ( 
 ctx 
 , 
  
 longRunningRecognizeRequest 
 ) 
  
 if 
  
 err 
  
 != 
  
 nil 
  
 { 
  
 return 
  
 fmt 
 . 
 Errorf 
 ( 
 "error running recognize %w" 
 , 
  
 err 
 ) 
  
 } 
  
 response 
 , 
  
 err 
  
 := 
  
 operation 
 . 
  Wait 
 
 ( 
 ctx 
 ) 
  
 if 
  
 err 
  
 != 
  
 nil 
  
 { 
  
 return 
  
 err 
  
 } 
  
 for 
  
 i 
 , 
  
 result 
  
 := 
  
 range 
  
 response 
 . 
 Results 
  
 { 
  
 alternative 
  
 := 
  
 result 
 . 
 Alternatives 
 [ 
 0 
 ] 
  
 fmt 
 . 
 Fprintf 
 ( 
 w 
 , 
  
 "%s\n" 
 , 
  
 strings 
 . 
 Repeat 
 ( 
 "-" 
 , 
  
 20 
 )) 
  
 fmt 
 . 
 Fprintf 
 ( 
 w 
 , 
  
 "First alternative of result %d" 
 , 
  
 i 
 ) 
  
 fmt 
 . 
 Fprintf 
 ( 
 w 
 , 
  
 "Transcript: %s" 
 , 
  
 alternative 
 . 
 Transcript 
 ) 
  
 } 
  
 return 
  
 nil 
 } 
 

  /** 
 * Performs transcription of the remote audio file asynchronously with the selected model. 
 * 
 * @param gcsUri the path to the remote audio file to transcribe. 
 */ 
 public 
  
 static 
  
 void 
  
 transcribeModelSelectionGcs 
 ( 
 String 
  
 gcsUri 
 ) 
  
 throws 
  
 Exception 
  
 { 
  
 try 
  
 ( 
 SpeechClient 
  
 speech 
  
 = 
  
 SpeechClient 
 . 
 create 
 ()) 
  
 { 
  
 // Configure request with video media type 
  
 RecognitionConfig 
  
 config 
  
 = 
  
 RecognitionConfig 
 . 
 newBuilder 
 () 
  
 // encoding may either be omitted or must match the value in the file header 
  
 . 
 setEncoding 
 ( 
 AudioEncoding 
 . 
 LINEAR16 
 ) 
  
 . 
 setLanguageCode 
 ( 
 "en-US" 
 ) 
  
 // sample rate hertz may be either be omitted or must match the value in the file 
  
 // header 
  
 . 
 setSampleRateHertz 
 ( 
 16000 
 ) 
  
 . 
 setModel 
 ( 
 "video" 
 ) 
  
 . 
 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 
 (); 
  
 // Just print the first result here. 
  
 SpeechRecognitionResult 
  
 result 
  
 = 
  
 results 
 . 
 get 
 ( 
 0 
 ); 
  
 // 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 
 ( 
 "Transcript : %s\n" 
 , 
  
 alternative 
 . 
 getTranscript 
 ()); 
  
 } 
 } 
 

  // Imports the Google Cloud client library for Beta API 
 /** 
 * TODO(developer): Update client library import to use new 
 * version of API when desired features become available 
 */ 
 const 
  
 speech 
  
 = 
  
 require 
 ( 
 ' @google-cloud/speech 
' 
 ). 
 v1p1beta1 
 ; 
 // Creates a client 
 const 
  
 client 
  
 = 
  
 new 
  
 speech 
 . 
  SpeechClient 
 
 (); 
 /** 
 * TODO(developer): Uncomment the following lines before running the sample. 
 */ 
 // const gcsUri = 'gs://my-bucket/audio.raw'; 
 // const model = 'Model to use, e.g. phone_call, video, default'; 
 // const encoding = 'Encoding of the audio file, e.g. LINEAR16'; 
 // const sampleRateHertz = 16000; 
 // const languageCode = 'BCP-47 language code, e.g. en-US'; 
 const 
  
 config 
  
 = 
  
 { 
  
 encoding 
 : 
  
 encoding 
 , 
  
 sampleRateHertz 
 : 
  
 sampleRateHertz 
 , 
  
 languageCode 
 : 
  
 languageCode 
 , 
  
 model 
 : 
  
 model 
 , 
 }; 
 const 
  
 audio 
  
 = 
  
 { 
  
 uri 
 : 
  
 gcsUri 
 , 
 }; 
 const 
  
 request 
  
 = 
  
 { 
  
 config 
 : 
  
 config 
 , 
  
 audio 
 : 
  
 audio 
 , 
 }; 
 // Detects speech in the audio file. 
 const 
  
 [ 
 response 
 ] 
  
 = 
  
 await 
  
 client 
 . 
 recognize 
 ( 
 request 
 ); 
 const 
  
 transcription 
  
 = 
  
 response 
 . 
 results 
  
 . 
 map 
 ( 
 result 
  
 = 
>  
 result 
 . 
 alternatives 
 [ 
 0 
 ]. 
 transcript 
 ) 
  
 . 
 join 
 ( 
 '\n' 
 ); 
 console 
 . 
 log 
 ( 
 'Transcription: ' 
 , 
  
 transcription 
 ); 
 

  from 
  
 google.cloud 
  
 import 
 speech 
 client 
 = 
 speech 
 . 
 SpeechClient 
 () 
 audio 
 = 
 speech 
 . 
  RecognitionAudio 
 
 ( 
 uri 
 = 
 "gs://cloud-samples-tests/speech/Google_Gnome.wav" 
 ) 
 config 
 = 
 speech 
 . 
  RecognitionConfig 
 
 ( 
 encoding 
 = 
 speech 
 . 
 RecognitionConfig 
 . 
 AudioEncoding 
 . 
 LINEAR16 
 , 
 sample_rate_hertz 
 = 
 16000 
 , 
 language_code 
 = 
 "en-US" 
 , 
 model 
 = 
 "video" 
 , 
 # Chosen model 
 ) 
 operation 
 = 
 client 
 . 
  long_running_recognize 
 
 ( 
 config 
 = 
 config 
 , 
 audio 
 = 
 audio 
 ) 
 print 
 ( 
 "Waiting for operation to complete..." 
 ) 
 response 
 = 
 operation 
 . 
 result 
 ( 
 timeout 
 = 
 90 
 ) 
 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 
 } 
 " 
 )