SpeechAsyncClient(*, credentials: Optional[google.auth.credentials.Credentials] = None, transport: Union[str, google.cloud.speech_v1.services.speech.transports.base.SpeechTransport] = 'grpc_asyncio', 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.
Properties
transport
Returns the transport used by the client instance.
Type | Description |
SpeechTransport | The transport used by the client instance. |
Methods
SpeechAsyncClient
SpeechAsyncClient(*, credentials: Optional[google.auth.credentials.Credentials] = None, transport: Union[str, google.cloud.speech_v1.services.speech.transports.base.SpeechTransport] = 'grpc_asyncio', 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.
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,
The transport to use. If set to None, a transport is chosen automatically. |
client_options |
ClientOptions
Custom options for the client. It won't take effect if a |
Type | Description |
google.auth.exceptions.MutualTlsChannelError | If mutual TLS transport creation failed for any reason. |
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.
Name | Description |
filename |
str
The path to the service account private key json file. |
Type | Description |
SpeechAsyncClient | 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.
Name | Description |
info |
dict
The service account private key info. |
Type | Description |
SpeechAsyncClient | 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.
Name | Description |
filename |
str
The path to the service account private key json file. |
Type | Description |
SpeechAsyncClient | 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 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.
Name | Description |
client_options |
google.api_core.client_options.ClientOptions
Custom options for the client. Only the |
Type | Description |
google.auth.exceptions.MutualTLSChannelError | If any errors happen. |
Type | Description |
Tuple[str, Callable[[], Tuple[bytes, bytes]]] | returns the API endpoint and the client cert source to use. |
get_operation
get_operation(request: Optional[google.longrunning.operations_pb2.GetOperationRequest] = None, *, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Union[float, object] = <_MethodDefault._DEFAULT_VALUE: <object object>>, metadata: Sequence[Tuple[str, str]] = ())
Gets the latest state of a long-running operation.
Name | Description |
request |
The request object. Request message for |
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. |
Type | Description |
| An Operation object. |
get_transport_class
get_transport_class()
Returns an appropriate transport class.
list_operations
list_operations(request: Optional[google.longrunning.operations_pb2.ListOperationsRequest] = None, *, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Union[float, object] = <_MethodDefault._DEFAULT_VALUE: <object object>>, metadata: Sequence[Tuple[str, str]] = ())
Lists operations that match the specified filter in the request.
Name | Description |
request |
The request object. Request message for |
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. |
Type | Description |
| Response message for ListOperations method. |
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: Union[float, object] = <_MethodDefault._DEFAULT_VALUE: <object object>>, 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
async def sample_long_running_recognize():
# Create a client
client = speech_v1.SpeechAsyncClient()
# 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 = (await operation).result()
# Handle the response
print(response)
Name | Description |
request |
Optional[Union[google.cloud.speech_v1.types.LongRunningRecognizeRequest, dict]]
The request object. The top-level message sent by the client for the |
config |
RecognitionConfig
Required. Provides information to the recognizer that specifies how to process the request. This corresponds to the |
audio |
RecognitionAudio
Required. The audio data to be recognized. This corresponds to the |
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. |
Type | Description |
google.api_core.operation_async.AsyncOperation | 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: Union[float, object] = <_MethodDefault._DEFAULT_VALUE: <object object>>, 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
async def sample_recognize():
# Create a client
client = speech_v1.SpeechAsyncClient()
# 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 = await client.recognize(request=request)
# Handle the response
print(response)
Name | Description |
request |
Optional[Union[google.cloud.speech_v1.types.RecognizeRequest, dict]]
The request object. The top-level message sent by the client for the |
config |
RecognitionConfig
Required. Provides information to the recognizer that specifies how to process the request. This corresponds to the |
audio |
RecognitionAudio
Required. The audio data to be recognized. This corresponds to the |
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. |
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[AsyncIterator[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: Union[float, object] = <_MethodDefault._DEFAULT_VALUE: <object object>>, 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
async def sample_streaming_recognize():
# Create a client
client = speech_v1.SpeechAsyncClient()
# 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 = await client.streaming_recognize(requests=request_generator())
# Handle the response
async for response in stream:
print(response)
Name | Description |
requests |
AsyncIterator[
The request object AsyncIterator. The top-level message sent by the client for the |
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. |
Type | Description |
AsyncIterable[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. |