Transcrever áudio da entrada de streaming

Nesta seção, demonstramos como transcrever áudio de streaming, como a entrada de um microfone, para texto.

O reconhecimento de voz por streaming permite que você faça streaming de áudio para Speech-to-Text e receba uma transmissão de reconhecimento de voz em tempo real conforme o áudio é processado. Consulte também os limites de áudio para transmissão de solicitações de reconhecimento de fala em streaming. O reconhecimento de fala em streaming só está disponível por gRPC.

Antes de começar

  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 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.

      Acessar o IAM
    2. Selecionar um projeto.
    3. Clique em CONCEDER ACESSO.

    4. No campo Novos principais, insira seu identificador de usuário. Normalmente, é o endereço de e-mail de uma Conta do Google.

    5. Na lista Selecionar um papel, escolha um.
    6. Para conceder outros papéis, clique em Adicionar outro papel e adicione cada papel adicional.
    7. Clique em Salvar.
    8. Install the Google Cloud CLI.

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

      gcloud init

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

      Go to project selector

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

    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.

        Acessar o IAM
      2. Selecionar um projeto.
      3. Clique em CONCEDER ACESSO.

      4. No campo Novos principais, insira seu identificador de usuário. Normalmente, é o endereço de e-mail de uma Conta do Google.

      5. Na lista Selecionar um papel, escolha um.
      6. Para conceder outros papéis, clique em Adicionar outro papel e adicione cada papel adicional.
      7. Clique em Salvar.
      8. Install the Google Cloud CLI.

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

        gcloud init

        10. Client libraries can use Application Default Credentials to easily authenticate with Google APIs and send requests to those APIs. With Application Default Credentials, you can test your application locally and deploy it without changing the underlying code. For more information, see Authenticate for using client libraries.

      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.

      Verifique também se você instalou a biblioteca de cliente.

      Como realizar reconhecimento de fala em streaming em um arquivo local

      Veja abaixo um exemplo de reconhecimento de fala em streaming em um arquivo de áudio local. Há um limite de 25 KB de áudio enviado nas solicitações de um stream. Esse limite se aplica à solicitação StreamingRecognize inicial e ao tamanho de cada mensagem individual no stream. Exceder esse limite causará um erro.

      Python

      import os

from google.cloud.speech_v2 import SpeechClient
from google.cloud.speech_v2.types import cloud_speech as cloud_speech_types

PROJECT_ID = os.getenv("GOOGLE_CLOUD_PROJECT")


def transcribe_streaming_v2(
    stream_file: str,
) -> cloud_speech_types.StreamingRecognizeResponse:
    """Transcribes audio from an audio file stream using Google Cloud Speech-to-Text API.
    Args:
        stream_file (str): Path to the local audio file to be transcribed.
            Example: "resources/audio.wav"
    Returns:
        list[cloud_speech_types.StreamingRecognizeResponse]: A list of objects.
            Each response includes the transcription results for the corresponding audio segment.
    """
    # Instantiates a client
    client = SpeechClient()

    # Reads a file as bytes
    with open(stream_file, "rb") as f:
        audio_content = f.read()

    # In practice, stream should be a generator yielding chunks of audio data
    chunk_length = len(audio_content) // 5
    stream = [
        audio_content[start : start + chunk_length]
        for start in range(0, len(audio_content), chunk_length)
    ]
    audio_requests = (
        cloud_speech_types.StreamingRecognizeRequest(audio=audio) for audio in stream
    )

    recognition_config = cloud_speech_types.RecognitionConfig(
        auto_decoding_config=cloud_speech_types.AutoDetectDecodingConfig(),
        language_codes=["en-US"],
        model="long",
    )
    streaming_config = cloud_speech_types.StreamingRecognitionConfig(
        config=recognition_config
    )
    config_request = cloud_speech_types.StreamingRecognizeRequest(
        recognizer=f"projects/{PROJECT_ID}/locations/global/recognizers/_",
        streaming_config=streaming_config,
    )

    def requests(config: cloud_speech_types.RecognitionConfig, audio: list) -> list:
        yield config
        yield from audio

    # Transcribes the audio into text
    responses_iterator = client.streaming_recognize(
        requests=requests(config_request, audio_requests)
    )
    responses = []
    for response in responses_iterator:
        responses.append(response)
        for result in response.results:
            print(f"Transcript: {result.alternatives[0].transcript}")

    return responses

      É possível fazer streaming de um arquivo de áudio local para a API Speech-to-Text, mas é recomendável que você execute o reconhecimento de áudio síncrono.

      Limpar

      Para evitar cobranças na conta do Google Cloud pelos recursos usados nesta página, siga estas etapas.

      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

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

      Go to Manage resources

    15. In the project list, select the project that you want to delete, and then click Delete.
    16. In the dialog, type the project ID, and then click Shut down to delete the project.

      17. gcloud

      Delete a Google Cloud project:

      gcloud projects delete PROJECT_ID

      A seguir