Class SpeechAsyncClient (2.26.1)

Service that implements Google Cloud Speech API.

Return the API endpoint used by the client instance.

Returns the transport used by the client instance.

Return the universe domain used by the client instance.

Instantiates the speech async client.

Returns a fully-qualified billing_account string.

Returns a fully-qualified folder string.

Returns a fully-qualified location string.

Returns a fully-qualified organization string.

Returns a fully-qualified project string.

Returns a fully-qualified custom_class string.

Creates an instance of this client using the provided credentials file.

Creates an instance of this client using the provided credentials info.

Creates an instance of this client using the provided credentials file.

Return the API endpoint and client cert source for mutual TLS.

The client cert source is determined in the following order: (1) if GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable is not "true", the client cert source is None. (2) if client_options.client_cert_source is provided, use the provided one; if the default client cert source exists, use the default one; otherwise the client cert source is None.

The API endpoint is determined in the following order: (1) if client_options.api_endpoint if provided, use the provided one. (2) if GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable is "always", use the default mTLS endpoint; if the environment variable is "never", use the default API endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise use the default API endpoint.

More details can be found at https://google.aip.dev/auth/4114.

Gets the latest state of a long-running operation.

Returns an appropriate transport class.

Lists operations that match the specified filter in the request.

Performs asynchronous speech recognition: receive results via the google.longrunning.Operations interface. Returns either an Operation.error or an Operation.response which contains a LongRunningRecognizeResponse message. For more information on asynchronous speech recognition, see the how-to <https://cloud.google.com/speech-to-text/docs/async-recognize>__.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import speech_v1p1beta1

async def sample_long_running_recognize():
    # Create a client
    client = speech_v1p1beta1.SpeechAsyncClient()

    # Initialize request argument(s)
    config = speech_v1p1beta1.RecognitionConfig()
    config.language_code = "language_code_value"

    audio = speech_v1p1beta1.RecognitionAudio()
    audio.content = b'content_blob'

    request = speech_v1p1beta1.LongRunningRecognizeRequest(
        config=config,
        audio=audio,
    )

    # Make the request
    operation = client.long_running_recognize(request=request)

    print("Waiting for operation to complete...")

    response = (await operation).result()

    # Handle the response
    print(response)

Parse a billing_account path into its component segments.

Parse a folder path into its component segments.

Parse a location path into its component segments.

Parse a organization path into its component segments.

Parse a project path into its component segments.

Parses a custom_class path into its component segments.

Parses a phrase_set path into its component segments.

Returns a fully-qualified phrase_set string.

Performs synchronous speech recognition: receive results after all audio has been sent and processed.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import speech_v1p1beta1

async def sample_recognize():
    # Create a client
    client = speech_v1p1beta1.SpeechAsyncClient()

    # Initialize request argument(s)
    config = speech_v1p1beta1.RecognitionConfig()
    config.language_code = "language_code_value"

    audio = speech_v1p1beta1.RecognitionAudio()
    audio.content = b'content_blob'

    request = speech_v1p1beta1.RecognizeRequest(
        config=config,
        audio=audio,
    )

    # Make the request
    response = await client.recognize(request=request)

    # Handle the response
    print(response)

Performs bidirectional streaming speech recognition: receive results while sending audio. This method is only available via the gRPC API (not REST).

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import speech_v1p1beta1

async def sample_streaming_recognize():
    # Create a client
    client = speech_v1p1beta1.SpeechAsyncClient()

    # Initialize request argument(s)
    streaming_config = speech_v1p1beta1.StreamingRecognitionConfig()
    streaming_config.config.language_code = "language_code_value"

    request = speech_v1p1beta1.StreamingRecognizeRequest(
        streaming_config=streaming_config,
    )

    # This method expects an iterator which contains
    # 'speech_v1p1beta1.StreamingRecognizeRequest' objects
    # Here we create a generator that yields a single `request` for
    # demonstrative purposes.
    requests = [request]

    def request_generator():
        for request in requests:
            yield request

    # Make the request
    stream = await client.streaming_recognize(requests=request_generator())

    # Handle the response
    async for response in stream:
        print(response)