Class SpeechClient (2.16.1)

SpeechClient(*, credentials: Optional[google.auth.credentials.Credentials] = None, transport: Optional[Union[str, google.cloud.speech_v1.services.speech.transports.base.SpeechTransport]] = None, client_options: Optional[google.api_core.client_options.ClientOptions] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = <google.api_core.gapic_v1.client_info.ClientInfo object>)

Service that implements Google Cloud Speech API.

Inheritance

builtins.object > SpeechClient

Properties

transport

Returns the transport used by the client instance.

Returns

Type	Description
SpeechTransport	The transport used by the client instance.

Methods

SpeechClient

SpeechClient(*, credentials: Optional[google.auth.credentials.Credentials] = None, transport: Optional[Union[str, google.cloud.speech_v1.services.speech.transports.base.SpeechTransport]] = None, client_options: Optional[google.api_core.client_options.ClientOptions] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = <google.api_core.gapic_v1.client_info.ClientInfo object>)

Instantiates the speech client.

Parameters

Name	Description
credentials	`Optional[google.auth.credentials.Credentials]` The authorization credentials to attach to requests. These credentials identify the application to the service; if none are specified, the client will attempt to ascertain the credentials from the environment.
transport	`Union[str, SpeechTransport]` The transport to use. If set to None, a transport is chosen automatically.
client_options	`google.api_core.client_options.ClientOptions` Custom options for the client. It won't take effect if a `transport` instance is provided. (1) The `api_endpoint` property can be used to override the default endpoint provided by the client. GOOGLE_API_USE_MTLS_ENDPOINT environment variable can also be used to override the endpoint: "always" (always use the default mTLS endpoint), "never" (always use the default regular endpoint) and "auto" (auto switch to the default mTLS endpoint if client certificate is present, this is the default value). However, the `api_endpoint` property takes precedence if provided. (2) If GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable is "true", then the `client_cert_source` property can be used to provide client certificate for mutual TLS transport. If not provided, the default SSL client certificate will be used if present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not set, no client certificate will be used.
client_info	`google.api_core.gapic_v1.client_info.ClientInfo` The client info used to send a user-agent string along with API requests. If `None`, then default info will be used. Generally, you only need to set this if you're developing your own client library.

Exceptions

Type	Description
google.auth.exceptions.MutualTLSChannelError	If mutual TLS transport creation failed for any reason.

exit

__exit__(type, value, traceback)

Releases underlying transport's resources.

common_billing_account_path

common_billing_account_path(billing_account: str)

Returns a fully-qualified billing_account string.

common_folder_path

common_folder_path(folder: str)

Returns a fully-qualified folder string.

common_location_path

common_location_path(project: str, location: str)

Returns a fully-qualified location string.

common_organization_path

common_organization_path(organization: str)

Returns a fully-qualified organization string.

common_project_path

common_project_path(project: str)

Returns a fully-qualified project string.

custom_class_path

custom_class_path(project: str, location: str, custom_class: str)

Returns a fully-qualified custom_class string.

from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

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

Parameter

Name	Description
filename	`str` The path to the service account private key json file.

Returns

Type	Description
SpeechClient	The constructed client.

from_service_account_info

from_service_account_info(info: dict, *args, **kwargs)

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

Parameter

Name	Description
info	`dict` The service account private key info.

Returns

Type	Description
SpeechClient	The constructed client.

from_service_account_json

from_service_account_json(filename: str, *args, **kwargs)

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

Parameter

Name	Description
filename	`str` The path to the service account private key json file.

Returns

Type	Description
SpeechClient	The constructed client.

get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: Optional[google.api_core.client_options.ClientOptions] = None,
)

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 variabel 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.

Parameter

Name	Description
client_options	`google.api_core.client_options.ClientOptions` Custom options for the client. Only the `api_endpoint` and `client_cert_source` properties may be used in this method.

Exceptions

Type	Description
google.auth.exceptions.MutualTLSChannelError	If any errors happen.

Returns

Type	Description
Tuple[str, Callable[[], Tuple[bytes, bytes]]]	returns the API endpoint and the client cert source to use.

long_running_recognize

long_running_recognize(request: Optional[Union[google.cloud.speech_v1.types.cloud_speech.LongRunningRecognizeRequest, dict]] = None, *, config: Optional[google.cloud.speech_v1.types.cloud_speech.RecognitionConfig] = None, audio: Optional[google.cloud.speech_v1.types.cloud_speech.RecognitionAudio] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

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_v1

def sample_long_running_recognize():
    # Create a client
    client = speech_v1.SpeechClient()

    # Initialize request argument(s)
    config = speech_v1.RecognitionConfig()
    config.language_code = "language_code_value"

    audio = speech_v1.RecognitionAudio()
    audio.content = b'content_blob'

    request = speech_v1.LongRunningRecognizeRequest(
        config=config,
        audio=audio,
    )

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

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

    response = operation.result()

    # Handle the response
    print(response)

Parameters

Name	Description
request	`Union[google.cloud.speech_v1.types.LongRunningRecognizeRequest, dict]` The request object. The top-level message sent by the client for the `LongRunningRecognize` method.
config	`google.cloud.speech_v1.types.RecognitionConfig` Required. Provides information to the recognizer that specifies how to process the request. This corresponds to the `config` field on the `request` instance; if `request` is provided, this should not be set.
audio	`google.cloud.speech_v1.types.RecognitionAudio` Required. The audio data to be recognized. This corresponds to the `audio` field on the `request` instance; if `request` is provided, this should not be set.
retry	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
timeout	`float` The timeout for this request.
metadata	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns

Type

Description

google.api_core.operation.Operation

An object representing a long-running operation. The result type for the operation will be LongRunningRecognizeResponse The only message returned to the client by the LongRunningRecognize method. It contains the result as zero or more sequential SpeechRecognitionResult messages. It is included in the result.response field of the Operation returned by the GetOperation call of the google::longrunning::Operations service.

parse_common_billing_account_path

parse_common_billing_account_path(path: str)

Parse a billing_account path into its component segments.

parse_common_folder_path

parse_common_folder_path(path: str)

Parse a folder path into its component segments.

parse_common_location_path

parse_common_location_path(path: str)

Parse a location path into its component segments.

parse_common_organization_path

parse_common_organization_path(path: str)

Parse a organization path into its component segments.

parse_common_project_path

parse_common_project_path(path: str)

Parse a project path into its component segments.

parse_custom_class_path

parse_custom_class_path(path: str)

Parses a custom_class path into its component segments.

parse_phrase_set_path

parse_phrase_set_path(path: str)

Parses a phrase_set path into its component segments.

phrase_set_path

phrase_set_path(project: str, location: str, phrase_set: str)

Returns a fully-qualified phrase_set string.

recognize

recognize(request: Optional[Union[google.cloud.speech_v1.types.cloud_speech.RecognizeRequest, dict]] = None, *, config: Optional[google.cloud.speech_v1.types.cloud_speech.RecognitionConfig] = None, audio: Optional[google.cloud.speech_v1.types.cloud_speech.RecognitionAudio] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

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_v1

def sample_recognize():
    # Create a client
    client = speech_v1.SpeechClient()

    # Initialize request argument(s)
    config = speech_v1.RecognitionConfig()
    config.language_code = "language_code_value"

    audio = speech_v1.RecognitionAudio()
    audio.content = b'content_blob'

    request = speech_v1.RecognizeRequest(
        config=config,
        audio=audio,
    )

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

    # Handle the response
    print(response)

Parameters

Name	Description
request	`Union[google.cloud.speech_v1.types.RecognizeRequest, dict]` The request object. The top-level message sent by the client for the `Recognize` method.
config	`google.cloud.speech_v1.types.RecognitionConfig` Required. Provides information to the recognizer that specifies how to process the request. This corresponds to the `config` field on the `request` instance; if `request` is provided, this should not be set.
audio	`google.cloud.speech_v1.types.RecognitionAudio` Required. The audio data to be recognized. This corresponds to the `audio` field on the `request` instance; if `request` is provided, this should not be set.
retry	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
timeout	`float` The timeout for this request.
metadata	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns

Type	Description
google.cloud.speech_v1.types.RecognizeResponse	The only message returned to the client by the Recognize method. It contains the result as zero or more sequential SpeechRecognitionResult messages.

streaming_recognize

streaming_recognize(requests: Optional[Iterator[google.cloud.speech_v1.types.cloud_speech.StreamingRecognizeRequest]] = None, *, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

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_v1

def sample_streaming_recognize():
    # Create a client
    client = speech_v1.SpeechClient()

    # Initialize request argument(s)
    streaming_config = speech_v1.StreamingRecognitionConfig()
    streaming_config.config.language_code = "language_code_value"

    request = speech_v1.StreamingRecognizeRequest(
        streaming_config=streaming_config,
    )

    # This method expects an iterator which contains
    # 'speech_v1.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 = client.streaming_recognize(requests=request_generator())

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

Parameters

Name	Description
requests	`Iterator[google.cloud.speech_v1.types.StreamingRecognizeRequest]` The request object iterator. The top-level message sent by the client for the `StreamingRecognize` method. Multiple `StreamingRecognizeRequest` messages are sent. The first message must contain a `streaming_config` message and must not contain `audio_content`. All subsequent messages must contain `audio_content` and must not contain a `streaming_config` message.
retry	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
timeout	`float` The timeout for this request.
metadata	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns

Type

Description

Iterable[google.cloud.speech_v1.types.StreamingRecognizeResponse]

StreamingRecognizeResponse is the only message returned to the client by StreamingRecognize. A series of zero or more StreamingRecognizeResponse messages are streamed back to the client. If there is no recognizable audio, and single_utterance is set to false, then no messages are streamed back to the client. Here's an example of a series of StreamingRecognizeResponses that might be returned while processing audio: 1. results { alternatives { transcript: "tube" } stability: 0.01 } 2. results { alternatives { transcript: "to be a" } stability: 0.01 } 3. results { alternatives { transcript: "to be" } stability: 0.9 } results { alternatives { transcript: " or not to be" } stability: 0.01 } 4. results { alternatives { transcript: "to be or not to be" confidence: 0.92 } alternatives { transcript: "to bee or not to bee" } is_final: true } 5. results { alternatives { transcript: " that's" } stability: 0.01 } 6. results { alternatives { transcript: " that is" } stability: 0.9 } results { alternatives { transcript: " the question" } stability: 0.01 } 7. results { alternatives { transcript: " that is the question" confidence: 0.98 } alternatives { transcript: " that was the question" } is_final: true } Notes: - Only two of the above responses #4 and #7 contain final results; they are indicated by is_final: true. Concatenating these together generates the full transcript: "to be or not to be that is the question". - The others contain interim results. #3 and #6 contain two interim \`results`: the first portion has a high stability and is less likely to change; the second portion has a low stability and is very likely to change. A UI designer might choose to show only high stability results. - The specific stability and confidence values shown above are only for illustrative purposes. Actual values may vary. - In each response, only one of these fields will be set: error, speech_event_type, or one or more (repeated) results.