Transcribe a local multi-lingual file (beta)

  /** 
 * Transcribe a local audio file with multi-language recognition 
 * 
 * @param fileName the path to the audio file 
 */ 
 public 
  
 static 
  
 void 
  
 transcribeMultiLanguage 
 ( 
 String 
  
 fileName 
 ) 
  
 throws 
  
 Exception 
  
 { 
  
 Path 
  
 path 
  
 = 
  
 Paths 
 . 
 get 
 ( 
 fileName 
 ); 
  
 // Get the contents of the local audio file 
  
 byte 
 [] 
  
 content 
  
 = 
  
 Files 
 . 
 readAllBytes 
 ( 
 path 
 ); 
  
 try 
  
 ( 
 SpeechClient 
  
 speechClient 
  
 = 
  
 SpeechClient 
 . 
 create 
 ()) 
  
 { 
  
 RecognitionAudio 
  
 recognitionAudio 
  
 = 
  
 RecognitionAudio 
 . 
 newBuilder 
 (). 
 setContent 
 ( 
 ByteString 
 . 
 copyFrom 
 ( 
 content 
 )). 
 build 
 (); 
  
 ArrayList<String> 
  
 languageList 
  
 = 
  
 new 
  
 ArrayList 
<> (); 
  
 languageList 
 . 
 add 
 ( 
 "es-ES" 
 ); 
  
 languageList 
 . 
 add 
 ( 
 "en-US" 
 ); 
  
 // Configure request to enable multiple languages 
  
 RecognitionConfig 
  
 config 
  
 = 
  
 RecognitionConfig 
 . 
 newBuilder 
 () 
  
 . 
 setEncoding 
 ( 
 AudioEncoding 
 . 
 LINEAR16 
 ) 
  
 . 
 setSampleRateHertz 
 ( 
 16000 
 ) 
  
 . 
 setLanguageCode 
 ( 
 "ja-JP" 
 ) 
  
 . 
 addAllAlternativeLanguageCodes 
 ( 
 languageList 
 ) 
  
 . 
 build 
 (); 
  
 // Perform the transcription request 
  
 RecognizeResponse 
  
 recognizeResponse 
  
 = 
  
 speechClient 
 . 
 recognize 
 ( 
 config 
 , 
  
 recognitionAudio 
 ); 
  
 // Print out the results 
  
 for 
  
 ( 
 SpeechRecognitionResult 
  
 result 
  
 : 
  
 recognizeResponse 
 . 
 getResultsList 
 ()) 
  
 { 
  
 // There can be several alternative transcripts for a given chunk of speech. Just use the 
  
 // first (most likely) one here. 
  
 SpeechRecognitionAlternative 
  
 alternative 
  
 = 
  
 result 
 . 
 getAlternatives 
 ( 
 0 
 ); 
  
 System 
 . 
 out 
 . 
 format 
 ( 
 "Transcript : %s\n\n" 
 , 
  
 alternative 
 . 
 getTranscript 
 ()); 
  
 } 
  
 } 
 } 
 

  const 
  
 fs 
  
 = 
  
 require 
 ( 
 'fs' 
 ); 
 // Imports the Google Cloud client library 
 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 fileName = 'Local path to audio file, e.g. /path/to/audio.raw'; 
 const 
  
 config 
  
 = 
  
 { 
  
 encoding 
 : 
  
 'LINEAR16' 
 , 
  
 sampleRateHertz 
 : 
  
 44100 
 , 
  
 languageCode 
 : 
  
 'en-US' 
 , 
  
 alternativeLanguageCodes 
 : 
  
 [ 
 'es-ES' 
 , 
  
 'en-US' 
 ], 
 }; 
 const 
  
 audio 
  
 = 
  
 { 
  
 content 
 : 
  
 fs 
 . 
 readFileSync 
 ( 
 fileName 
 ). 
 toString 
 ( 
 'base64' 
 ), 
 }; 
 const 
  
 request 
  
 = 
  
 { 
  
 config 
 : 
  
 config 
 , 
  
 audio 
 : 
  
 audio 
 , 
 }; 
 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_v1p1beta1 
 as 
 speech 
 client 
 = 
 speech 
 . 
 SpeechClient 
 () 
 speech_file 
 = 
 "resources/multi.wav" 
 first_lang 
 = 
 "en-US" 
 second_lang 
 = 
 "es" 
 with 
 open 
 ( 
 speech_file 
 , 
 "rb" 
 ) 
 as 
 audio_file 
 : 
 content 
 = 
 audio_file 
 . 
 read 
 () 
 audio 
 = 
 speech 
 . 
 RecognitionAudio 
 ( 
 content 
 = 
 content 
 ) 
 config 
 = 
 speech 
 . 
 RecognitionConfig 
 ( 
 encoding 
 = 
 speech 
 . 
 RecognitionConfig 
 . 
 AudioEncoding 
 . 
 LINEAR16 
 , 
 sample_rate_hertz 
 = 
 44100 
 , 
 audio_channel_count 
 = 
 2 
 , 
 language_code 
 = 
 first_lang 
 , 
 alternative_language_codes 
 = 
 [ 
 second_lang 
 ], 
 ) 
 print 
 ( 
 "Waiting for operation to complete..." 
 ) 
 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 
 } 
 : 
 { 
 alternative 
 } 
 " 
 ) 
 print 
 ( 
 f 
 "Transcript: 
 { 
 alternative 
 . 
 transcript 
 } 
 " 
 ) 
 return 
 response 
 . 
 results