尝试运行 Google Speech Recognition java 示例时出现“需要 query.json 的路径”错误

Posted

技术标签:

【中文标题】尝试运行 Google Speech Recognition java 示例时出现“需要 query.json 的路径”错误【英文标题】:Getting "need path to queries.json" error when trying to run Google Speech Recognition java example 【发布时间】:2019-04-26 18:32:01 【问题描述】:

我正在尝试在此处运行 java 流式语音识别示例:https://cloud.google.com/speech-to-text/docs/streaming-recognize#speech-streaming-mic-recognize-java

我在Eclipse中新建了一个gradle项目,将compile 'com.google.cloud:google-cloud-speech:1.1.0'compile 'com.google.cloud:google-cloud-bigquery:1.70.0'添加到依赖项中,然后将示例代码从链接复制到主类。我可以看到的示例脚本中没有使用第二个依赖项中的任何内容,但我需要它,否则我会收到如下错误:Error: Could not find or load main class com.google.cloud.bigquery.benchmark.Benchmark

在添加了两个依赖项的情况下运行时,我立即在标题 (need path to queries.json) 中收到错误,并且应用程序退出。什么是 queries.json 文件,如何为应用程序提供路径以运行示例项目? google API 在我的系统上设置了适当的环境变量,并且 API 调用被配置为允许来自我正在使用的机器的 IP。

这是整个类脚本(项目中唯一的脚本):

import com.google.api.gax.rpc.ClientStream;
import com.google.api.gax.rpc.ResponseObserver; 
import com.google.api.gax.rpc.StreamController;
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 com.google.cloud.speech.v1.StreamingRecognitionConfig;
import com.google.cloud.speech.v1.StreamingRecognitionResult;
import com.google.cloud.speech.v1.StreamingRecognizeRequest;
import com.google.cloud.speech.v1.StreamingRecognizeResponse; 
import com.google.protobuf.ByteString;
import java.nio.file.Files;
import java.nio.file.Path;
import java.nio.file.Paths;
import java.util.ArrayList;
import java.util.List;

import javax.sound.sampled.AudioFormat; 
import javax.sound.sampled.AudioInputStream;
import javax.sound.sampled.Audiosystem;
import javax.sound.sampled.DataLine;
import javax.sound.sampled.DataLine.Info; 
import javax.sound.sampled.TargetDataLine;


public class GoogleSpeechRecognition 
    /** Performs microphone streaming speech recognition with a duration of 1 minute. */
    public static void streamingMicRecognize() throws Exception 

      ResponseObserver<StreamingRecognizeResponse> responseObserver = null;
      try (SpeechClient client = SpeechClient.create()) 

        responseObserver =
            new ResponseObserver<StreamingRecognizeResponse>() 
              ArrayList<StreamingRecognizeResponse> responses = new ArrayList<>();

              public void onStart(StreamController controller) 

              public void onResponse(StreamingRecognizeResponse response) 
                responses.add(response);
              

              public void onComplete() 
                for (StreamingRecognizeResponse response : responses) 
                  StreamingRecognitionResult result = response.getResultsList().get(0);
                  SpeechRecognitionAlternative alternative = result.getAlternativesList().get(0);
                  System.out.printf("Transcript : %s\n", alternative.getTranscript());
                
              

              public void onError(Throwable t) 
                System.out.println(t);
              
            ;

        ClientStream<StreamingRecognizeRequest> clientStream =
            client.streamingRecognizeCallable().splitCall(responseObserver);

        RecognitionConfig recognitionConfig =
            RecognitionConfig.newBuilder()
                .setEncoding(RecognitionConfig.AudioEncoding.LINEAR16)
                .setLanguageCode("en-US")
                .setSampleRateHertz(16000)
                .build();
        StreamingRecognitionConfig streamingRecognitionConfig =
            StreamingRecognitionConfig.newBuilder().setConfig(recognitionConfig).build();

        StreamingRecognizeRequest request =
            StreamingRecognizeRequest.newBuilder()
                .setStreamingConfig(streamingRecognitionConfig)
                .build(); // The first request in a streaming call has to be a config

        clientStream.send(request);
        // SampleRate:16000Hz, SampleSizeInBits: 16, Number of channels: 1, Signed: true,
        // bigEndian: false
        AudioFormat audioFormat = new AudioFormat(16000, 16, 1, true, false);
        DataLine.Info targetInfo =
            new Info(
                TargetDataLine.class,
                audioFormat); // Set the system information to read from the microphone audio stream

        if (!AudioSystem.isLineSupported(targetInfo)) 
          System.out.println("Microphone not supported");
          System.exit(0);
        
        // Target data line captures the audio stream the microphone produces.
        TargetDataLine targetDataLine = (TargetDataLine) AudioSystem.getLine(targetInfo);
        targetDataLine.open(audioFormat);
        targetDataLine.start();
        System.out.println("Start speaking");
        long startTime = System.currentTimeMillis();
        // Audio Input Stream
        AudioInputStream audio = new AudioInputStream(targetDataLine);
        while (true) 
          long estimatedTime = System.currentTimeMillis() - startTime;
          byte[] data = new byte[6400];
          audio.read(data);
          if (estimatedTime > 60000)  // 60 seconds
            System.out.println("Stop speaking.");
            targetDataLine.stop();
            targetDataLine.close();
            break;
          
          request =
              StreamingRecognizeRequest.newBuilder()
                  .setAudioContent(ByteString.copyFrom(data))
                  .build();
          clientStream.send(request);
        
       catch (Exception e) 
        System.out.println(e);
      
      responseObserver.onComplete();
    

【问题讨论】:

看起来像 ***.com/q/53026314/1031958 的副本,这是 6 个月前被问到的,Google 工程师 @Graham Polley 没有回应。我建议尝试通过他们的其他支持渠道询问他们 【参考方案1】:

好的,所以对我来说,这很简单,而且是我的错。默认运行配置被错误地设置为其中一个 google 类,而不是您调用的包含示例代码的测试类。这就是导致 bigquery 错误和 queries.json 错误的原因。只需使用示例代码将主类更正为您的测试类,它就可以工作。此外,您根本不需要在您的 gradle 依赖项中包含 compile 'com.google.cloud:google-cloud-bigquery:1.70.0',抱怨需要它的错误是由运行配置中的主类设置不正确引起的。

Example output

【讨论】:

以上是关于尝试运行 Google Speech Recognition java 示例时出现“需要 query.json 的路径”错误的主要内容,如果未能解决你的问题,请参考以下文章

403(禁止),Google Speech API 上的无效键错误

Google Cloud Speech API 中转录的文件大小

Google Cloud - Speech to Text 用户配额

使用 cURL 或 Python 让 Google Cloud Text to Speech 工作

如何在代理设置后面使用 Google Speech to Text API?

如何将 websocket 二进制消息作为流发送到 Google Speech API?