Transcribir la voz a texto con bibliotecas cliente

En esta página, se muestra cómo enviar una solicitud de reconocimiento de voz a Speech-to-Text en el lenguaje de programación que prefieras mediante las bibliotecas cliente deGoogle Cloud .

Con Speech-to-Text, se puede realizar una integración sencilla de las tecnologías de reconocimiento de voz de Google en las aplicaciones de los desarrolladores. Puedes enviar datos de audio a la API de Speech-to-Text que, a su vez, muestra una transcripción de texto de ese archivo de audio. Para obtener más información sobre el servicio, consulta Conceptos básicos de Speech-to-Text.

Antes de comenzar

  1. Sign in to your Google Cloud account. If you're new to Google Cloud, create an account to evaluate how our products perform in real-world scenarios. New customers also get $300 in free credits to run, test, and deploy workloads.

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

    Go to project selector

  3. Make sure that billing is enabled for your Google Cloud project.

  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 column 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.

      Ir a IAM
    2. Selecciona el proyecto.
    3. Haz clic en Grant access.

    4. En el campo Principales nuevas, ingresa tu identificador de usuario. Esta suele ser la dirección de correo electrónico de una Cuenta de Google.

    5. En la lista Seleccionar un rol, elige un rol.
    6. Para otorgar funciones adicionales, haz clic en Agregar otro rol y agrega cada rol adicional.
    7. Haz clic en Guardar.
  6. Install the Google Cloud CLI.

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

    gcloud init

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

    Go to project selector

  9. Make sure that billing is enabled for your Google Cloud project.

  10. Enable the Speech-to-Text APIs.

    Enable the APIs

  11. 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 column 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.

      Ir a IAM
    2. Selecciona el proyecto.
    3. Haz clic en Grant access.

    4. En el campo Principales nuevas, ingresa tu identificador de usuario. Esta suele ser la dirección de correo electrónico de una Cuenta de Google.

    5. En la lista Seleccionar un rol, elige un rol.
    6. Para otorgar funciones adicionales, haz clic en Agregar otro rol y agrega cada rol adicional.
    7. Haz clic en Guardar.
  12. Install the Google Cloud CLI.

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

    gcloud init

    14. Las bibliotecas cliente pueden usar las credenciales predeterminadas de la aplicación para autenticarse fácilmente con las APIs de Google y enviar solicitudes a esas API. Con las credenciales predeterminadas de la aplicación, puedes probar tu aplicación de forma local y, luego, implementarla sin cambiar el código subyacente. Si deseas obtener más información, consulta Autentícate para usar las bibliotecas cliente.

  14. 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.

También asegúrate de haber instalado la biblioteca cliente.

Realiza una solicitud de transcripción de audio

Usa el siguiente código para enviar una solicitud de Recognize a la API de Speech-to-Text.

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

Enviaste tu primera solicitud a Speech-to-Text.

Limpia

Sigue estos pasos para evitar que se apliquen cargos a tu cuenta de Google Cloud por los recursos que usaste en esta página.

  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

Console

  • 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

    Delete a Google Cloud project:

    gcloud projects delete PROJECT_ID

    ¿Qué sigue?