使用客户端库将语音转写为文字

本页面介绍了如何使用 Google Cloud 客户端库以您喜爱的编程语言向 Speech-to-Text 发送语音识别请求。

Speech-to-Text 能够将 Google 语音识别技术轻松集成到开发者应用中。您可以向 Speech-to-Text API 发送音频数据，然后该 API 会返回该音频文件的文字转录。如需详细了解该服务，请参阅 Speech-to-Text 基础知识。

须知事项

1. 登录您的 Google Cloud 账号。如果您是 Google Cloud 新手，请创建一个账号来评估我们的产品在实际场景中的表现。新客户还可获享 $300 赠金，用于运行、测试和部署工作负载。

2. In the Google Cloud console, on the project selector page, select or create a Google Cloud project.

   Note: If you don't plan to keep the resources that you create in this procedure, create a project instead of selecting an existing project. After you finish these steps, you can delete the project, removing all resources associated with the project.

   Go to project selector

3. 确保您的 Google Cloud 项目已启用结算功能。

4. Enable the Speech-to-Text APIs.

   Enable the APIs

5. Make sure that you have the following role or roles on the project: Cloud Speech Administrator

   Check for the roles

   1. In the Google Cloud console, go to the IAM page.

      Go to IAM
   2. Select the project.

   3. In the Principal column, find all rows that identify you or a group that you're included in. To learn which groups you're included in, contact your administrator.

   4. For all rows that specify or include you, check the Role colunn to see whether the list of roles includes the required roles.

   Grant the roles

   1. In the Google Cloud console, go to the IAM page.

      前往 IAM
   2. 选择项目。
   3. 点击 授予访问权限。

   4. 在新的主账号字段中，输入您的用户标识符。 这通常是 Google 账号的电子邮件地址。

   5. 在选择角色列表中，选择一个角色。
   6. 如需授予其他角色，请点击 添加其他角色，然后添加其他各个角色。
   7. 点击保存。
   8. Install the Google Cloud CLI.

   9. To initialize the gcloud CLI, run the following command:

      gcloud init

      Note: If you installed the gcloud CLI previously, make sure you have the latest version by running gcloud components update.

   10. In the Google Cloud console, on the project selector page, select or create a Google Cloud project.

       Note: If you don't plan to keep the resources that you create in this procedure, create a project instead of selecting an existing project. After you finish these steps, you can delete the project, removing all resources associated with the project.

       Go to project selector

   11. 确保您的 Google Cloud 项目已启用结算功能。

   12. Enable the Speech-to-Text APIs.

       Enable the APIs

   13. Make sure that you have the following role or roles on the project: Cloud Speech Administrator

       Check for the roles

       1. In the Google Cloud console, go to the IAM page.

          Go to IAM
       2. Select the project.

       3. In the Principal column, find all rows that identify you or a group that you're included in. To learn which groups you're included in, contact your administrator.

       4. For all rows that specify or include you, check the Role colunn to see whether the list of roles includes the required roles.

       Grant the roles

       1. In the Google Cloud console, go to the IAM page.

          前往 IAM
       2. 选择项目。
       3. 点击 授予访问权限。

       4. 在新的主账号字段中，输入您的用户标识符。 这通常是 Google 账号的电子邮件地址。

       5. 在选择角色列表中，选择一个角色。
       6. 如需授予其他角色，请点击 添加其他角色，然后添加其他各个角色。
       7. 点击保存。
       8. Install the Google Cloud CLI.

       9. To initialize the gcloud CLI, run the following command:

          gcloud init

          Note: If you installed the gcloud CLI previously, make sure you have the latest version by running gcloud components update.

       客户端库可以使用应用默认凭据轻松进行 Google API 身份验证，并向这些 API 发送请求。借助应用默认凭据，您可以在本地测试应用并部署它，无需更改底层代码。有关详情，请参阅使用客户端库进行身份验证。

       10. If you're using a local shell, then create local authentication credentials for your user account:

           gcloud auth application-default login

           You don't need to do this if you're using Cloud Shell.

       此外，请确保您已安装客户端库。

       发出音频转录请求

       请使用以下代码向 Speech-to-Text API 发送 Recognize 请求。

       Java

       // Imports the Google Cloud client library
       import com.google.api.gax.longrunning.OperationFuture;
       import com.google.cloud.speech.v2.AutoDetectDecodingConfig;
       import com.google.cloud.speech.v2.CreateRecognizerRequest;
       import com.google.cloud.speech.v2.OperationMetadata;
       import com.google.cloud.speech.v2.RecognitionConfig;
       import com.google.cloud.speech.v2.RecognizeRequest;
       import com.google.cloud.speech.v2.RecognizeResponse;
       import com.google.cloud.speech.v2.Recognizer;
       import com.google.cloud.speech.v2.SpeechClient;
       import com.google.cloud.speech.v2.SpeechRecognitionAlternative;
       import com.google.cloud.speech.v2.SpeechRecognitionResult;
       import com.google.protobuf.ByteString;
       import java.io.IOException;
       import java.nio.file.Files;
       import java.nio.file.Path;
       import java.nio.file.Paths;
       import java.util.List;
       import java.util.concurrent.ExecutionException;
       
       public class QuickstartSampleV2 {
       
         public static void main(String[] args) throws IOException, ExecutionException,
             InterruptedException {
           String projectId = "my-project-id";
           String filePath = "path/to/audioFile.raw";
           String recognizerId = "my-recognizer-id";
           quickstartSampleV2(projectId, filePath, recognizerId);
         }
       
         public static void quickstartSampleV2(String projectId, String filePath, String recognizerId)
             throws IOException, ExecutionException, InterruptedException {
       
           // Initialize client that will be used to send requests. This client only needs to be created
           // once, and can be reused for multiple requests. After completing all of your requests, call
           // the "close" method on the client to safely clean up any remaining background resources.
           try (SpeechClient speechClient = SpeechClient.create()) {
             Path path = Paths.get(filePath);
             byte[] data = Files.readAllBytes(path);
             ByteString audioBytes = ByteString.copyFrom(data);
       
             String parent = String.format("projects/%s/locations/global", projectId);
       
             // First, create a recognizer
             Recognizer recognizer = Recognizer.newBuilder()
                 .setModel("latest_long")
                 .addLanguageCodes("en-US")
                 .build();
       
             CreateRecognizerRequest createRecognizerRequest = CreateRecognizerRequest.newBuilder()
                 .setParent(parent)
                 .setRecognizerId(recognizerId)
                 .setRecognizer(recognizer)
                 .build();
       
             OperationFuture<Recognizer, OperationMetadata> operationFuture =
                 speechClient.createRecognizerAsync(createRecognizerRequest);
             recognizer = operationFuture.get();
       
             // Next, create the transcription request
             RecognitionConfig recognitionConfig = RecognitionConfig.newBuilder()
                 .setAutoDecodingConfig(AutoDetectDecodingConfig.newBuilder().build())
                 .build();
       
             RecognizeRequest request = RecognizeRequest.newBuilder()
                 .setConfig(recognitionConfig)
                 .setRecognizer(recognizer.getName())
                 .setContent(audioBytes)
                 .build();
       
             RecognizeResponse response = speechClient.recognize(request);
             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.
               if (result.getAlternativesCount() > 0) {
                 SpeechRecognitionAlternative alternative = result.getAlternativesList().get(0);
                 System.out.printf("Transcription: %s%n", alternative.getTranscript());
               }
             }
           }
         }
       }

       Python

       import os
       
       from google.cloud.speech_v2 import SpeechClient
       from google.cloud.speech_v2.types import cloud_speech
       
       PROJECT_ID = os.getenv("GOOGLE_CLOUD_PROJECT")
       
       
       def quickstart_v2(audio_file: str) -> cloud_speech.RecognizeResponse:
           """Transcribe an audio file.
           Args:
               audio_file (str): Path to the local audio file to be transcribed.
           Returns:
               cloud_speech.RecognizeResponse: The response from the recognize request, containing
               the transcription results
           """
           # Reads a file as bytes
           with open(audio_file, "rb") as f:
               audio_content = f.read()
       
           # Instantiates a client
           client = SpeechClient()
       
           config = cloud_speech.RecognitionConfig(
               auto_decoding_config=cloud_speech.AutoDetectDecodingConfig(),
               language_codes=["en-US"],
               model="long",
           )
       
           request = cloud_speech.RecognizeRequest(
               recognizer=f"projects/{PROJECT_ID}/locations/global/recognizers/_",
               config=config,
               content=audio_content,
           )
       
           # Transcribes the audio into text
           response = client.recognize(request=request)
       
           for result in response.results:
               print(f"Transcript: {result.alternatives[0].transcript}")
       
           return response
       
       

       您向 Speech-to-Text 发送了第一个请求。

       清理

       为避免因本页中使用的资源导致您的 Google Cloud 账号产生费用，请按照以下步骤操作。

       1. Optional: Revoke the authentication credentials that you created, and delete the local credential file.

          gcloud auth application-default revoke

       2. Optional: Revoke credentials from the gcloud CLI.

          gcloud auth revoke

       控制台

       注意：删除项目会产生以下影响：

       • 项目中的所有内容都会被删除。如果您将现有项目用于本文档中的任务，则删除该项目后，还将删除您已在该项目中完成的任何其他工作。
       • 自定义项目 ID 丢失。创建此项目时，您可能创建了要在将来使用的自定义项目 ID。要保留使用该项目 ID 的网址（例如 appspot.com 网址），请删除项目内的所选资源，而不是删除整个项目。

       如果您打算探索多个架构、教程或快速入门，则重复使用项目可以帮助您避免超出项目配额限制。

       In the Google Cloud console, go to the Manage resources page.

       Go to Manage resources

       In the project list, select the project that you want to delete, and then click Delete.

       In the dialog, type the project ID, and then click Shut down to delete the project.

       gcloud

       注意：删除项目会产生以下影响：

       • 项目中的所有内容都会被删除。如果您将现有项目用于本文档中的任务，则删除该项目后，还将删除您已在该项目中完成的任何其他工作。
       • 自定义项目 ID 丢失。创建此项目时，您可能创建了要在将来使用的自定义项目 ID。要保留使用该项目 ID 的网址（例如 appspot.com 网址），请删除项目内的所选资源，而不是删除整个项目。

       如果您打算探索多个架构、教程或快速入门，则重复使用项目可以帮助您避免超出项目配额限制。

       Delete a Google Cloud project:

       gcloud projects delete PROJECT_ID

       后续步骤

       • 练习转录短音频文件。
       • 了解如何转写流式传输音频。
       • 了解如何转录长音频文件。
       • 如需了解关于最佳性能、准确度和其他方面的提示，请参阅最佳实践文档。