Speech-to-Text 客户端库

<dependencyManagement>   <dependencies>     <dependency>       <groupId>com.google.cloud</groupId>       <artifactId>libraries-bom</artifactId>       <version>26.66.0</version>       <type>pom</type>       <scope>import</scope>     </dependency>   </dependencies> </dependencyManagement>  <dependencies>   <dependency>     <groupId>com.google.cloud</groupId>     <artifactId>google-cloud-speech</artifactId>   </dependency> </dependencies>

implementation 'com.google.cloud:google-cloud-speech:4.67.0'

libraryDependencies += "com.google.cloud" % "google-cloud-speech" % "4.67.0"

 // Sample speech-quickstart uses the Google Cloud Speech API to transcribe // audio. package main  import ( 	"context" 	"fmt" 	"log"  	speech "cloud.google.com/go/speech/apiv1" 	"cloud.google.com/go/speech/apiv1/speechpb" )  func main() { 	ctx := context.Background()  	// Creates a client. 	client, err := speech.NewClient(ctx) 	if err != nil { 		log.Fatalf("Failed to create client: %v", err) 	} 	defer client.Close()  	// The path to the remote audio file to transcribe. 	fileURI := "gs://cloud-samples-data/speech/brooklyn_bridge.raw"  	// Detects speech in the audio file. 	resp, err := client.Recognize(ctx, &speechpb.RecognizeRequest{ 		Config: &speechpb.RecognitionConfig{ 			Encoding:        speechpb.RecognitionConfig_LINEAR16, 			SampleRateHertz: 16000, 			LanguageCode:    "en-US", 		}, 		Audio: &speechpb.RecognitionAudio{ 			AudioSource: &speechpb.RecognitionAudio_Uri{Uri: fileURI}, 		}, 	}) 	if err != nil { 		log.Fatalf("failed to recognize: %v", err) 	}  	// Prints the results. 	for _, result := range resp.Results { 		for _, alt := range result.Alternatives { 			fmt.Printf("\"%v\" (confidence=%3f)\n", alt.Transcript, alt.Confidence) 		} 	} } 

// Imports the Google Cloud client library import com.google.cloud.speech.v1.RecognitionAudio; import com.google.cloud.speech.v1.RecognitionConfig; import com.google.cloud.speech.v1.RecognitionConfig.AudioEncoding; import com.google.cloud.speech.v1.RecognizeResponse; import com.google.cloud.speech.v1.SpeechClient; import com.google.cloud.speech.v1.SpeechRecognitionAlternative; import com.google.cloud.speech.v1.SpeechRecognitionResult; import java.util.List;  public class QuickstartSample {    /** Demonstrates using the Speech API to transcribe an audio file. */   public static void main(String... args) throws Exception {     // Instantiates a client     try (SpeechClient speechClient = SpeechClient.create()) {        // The path to the audio file to transcribe       String gcsUri = "gs://cloud-samples-data/speech/brooklyn_bridge.raw";        // Builds the sync recognize request       RecognitionConfig config =           RecognitionConfig.newBuilder()               .setEncoding(AudioEncoding.LINEAR16)               .setSampleRateHertz(16000)               .setLanguageCode("en-US")               .build();       RecognitionAudio audio = RecognitionAudio.newBuilder().setUri(gcsUri).build();        // Performs speech recognition on the audio file       RecognizeResponse response = speechClient.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());       }     }   } }

// Imports the Google Cloud client library const speech = require('@google-cloud/speech');  // Creates a client const client = new speech.SpeechClient();  async function quickstart() {   // The path to the remote LINEAR16 file   const gcsUri = 'gs://cloud-samples-data/speech/brooklyn_bridge.raw';    // The audio file's encoding, sample rate in hertz, and BCP-47 language code   const audio = {     uri: gcsUri,   };   const config = {     encoding: 'LINEAR16',     sampleRateHertz: 16000,     languageCode: 'en-US',   };   const request = {     audio: audio,     config: config,   };    // 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}`); } quickstart();

 # Imports the Google Cloud client library   from google.cloud import speech    def run_quickstart() -> speech.RecognizeResponse:     # Instantiates a client     client = speech.SpeechClient()      # The name of the audio file to transcribe     gcs_uri = "gs://cloud-samples-data/speech/brooklyn_bridge.raw"      audio = speech.RecognitionAudio(uri=gcs_uri)      config = speech.RecognitionConfig(         encoding=speech.RecognitionConfig.AudioEncoding.LINEAR16,         sample_rate_hertz=16000,         language_code="en-US",     )      # Detects speech in the audio file     response = client.recognize(config=config, audio=audio)      for result in response.results:         print(f"Transcript: {result.alternatives[0].transcript}")