Mentranskripsi ucapan menjadi teks menggunakan library klien

Halaman ini menjelaskan cara mengirim permintaan pengenalan ucapan ke Speech-to-Text dalam bahasa pemrograman favorit Anda menggunakan Library Klien Google Cloud.

Speech-to-Text memudahkan integrasi teknologi pengenalan ucapan Google ke dalam aplikasi developer. Anda dapat mengirim data audio ke Speech-to-Text API, yang kemudian menampilkan transkripsi teks dari file audio tersebut. Untuk mengetahui informasi selengkapnya tentang layanan ini, lihat Dasar-dasar Speech-to-Text.

Sebelum memulai

  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. Di konsol Google Cloud, pada halaman pemilih project, pilih atau buat project Google Cloud.

    Buka pemilih project

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

  4. Aktifkan API Speech-to-Text.

    Mengaktifkan API

  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.

      Buka IAM
    2. Pilih project.
    3. Klik Berikan akses.

    4. Di kolom New principals, masukkan ID pengguna Anda. Ini biasanya adalah alamat email untuk Akun Google.

    5. Di daftar Pilih peran, pilih peran.
    6. Untuk memberikan peran tambahan, klik Tambahkan peran lain, lalu tambahkan setiap peran tambahan.
    7. Klik Simpan.
    8. Install the Google Cloud CLI.

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

      gcloud init

    10. Di konsol Google Cloud, pada halaman pemilih project, pilih atau buat project Google Cloud.

      Buka pemilih project

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

    12. Aktifkan API Speech-to-Text.

      Mengaktifkan API

    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.

        Buka IAM
      2. Pilih project.
      3. Klik Berikan akses.

      4. Di kolom New principals, masukkan ID pengguna Anda. Ini biasanya adalah alamat email untuk Akun Google.

      5. Di daftar Pilih peran, pilih peran.
      6. Untuk memberikan peran tambahan, klik Tambahkan peran lain, lalu tambahkan setiap peran tambahan.
      7. Klik Simpan.
      8. Install the Google Cloud CLI.

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

        gcloud init

        10. Library klien dapat menggunakan Kredensial Default Aplikasi untuk dengan mudah melakukan autentikasi dengan Google API dan mengirim permintaan ke API tersebut. Dengan Kredensial Default Aplikasi, Anda dapat menguji aplikasi secara lokal dan men-deploy aplikasi tanpa mengubah kode yang mendasarinya. Untuk informasi selengkapnya, lihat Lakukan autentikasi untuk menggunakan library klien.

      10. Buat kredensial autentikasi lokal untuk Akun Google Anda: 

        gcloud auth application-default login

      Selain itu, pastikan Anda telah menginstal library klien.

      Membuat permintaan transkripsi audio

      Gunakan kode berikut untuk mengirim permintaan Recognize ke Speech-to-Text API.

      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

      Anda telah mengirimkan permintaan pertama ke Speech-to-Text.

      Pembersihan

      Agar akun Google Cloud Anda tidak dikenai biaya untuk resource yang digunakan pada halaman ini, ikuti langkah-langkah berikut.

      1. Opsional: Cabut kredensial autentikasi yang Anda buat, dan hapus file kredensial lokal. 

        gcloud auth application-default revoke

      2. Opsional: Cabut kredensial dari gcloud CLI. 

        gcloud auth revoke

      Konsol

    14. Di konsol Google Cloud, buka halaman Manage resource.

      Buka Manage resource

    15. Pada daftar project, pilih project yang ingin Anda hapus, lalu klik Delete.
    16. Pada dialog, ketik project ID, lalu klik Shut down untuk menghapus project.

      17. gcloud

      Menghapus project Google Cloud:

      gcloud projects delete PROJECT_ID

      Langkah berikutnya