java - 尝试运行 Google 语音识别 java 示例时出现 "need path to queries.json"错误

Question

我正在尝试在这里运行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 中创建了一个新的 gradle 项目，添加了 compile 'com.google.cloud:google-cloud-speech:1.1.0' 和 compile 'com.google.cloud: google-cloud-bigquery:1.70.0' 到依赖项，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，我立即收到标题中的错误(需要 requests.json 的路径)，并且应用程序退出。什么是 requests.json 文件？如何为应用程序提供该文件的路径以使示例项目运行？在我的系统上使用正确的环境变量设置了 google API，并且将 API 调用配置为允许从我正在使用的计算机的 IP 进行调用。

这是整个类脚本(仅项目中的脚本):

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();
    }
}

Answer 1

好吧，对我来说，这件事很简单，而且是我的错。默认运行配置被错误地设置为 google 类之一，而不是您所谓的包含示例代码的测试类。这就是导致 bigquery 错误和 requests.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即可。另外，您根本不需要在 gradle 依赖项中包含 compile 'com.google.cloud:google-cloud-bigquery:1.70.0' ，导致提示需要它的错误由于运行配置中的主类设置不正确。

Example output