SpeechClient(*, credentials: Optional[google.auth.credentials.Credentials] = None, transport: Optional[Union[str, google.cloud.speech_v2.services.speech.transports.base.SpeechTransport]] = None, client_options: Optional[Union[google.api_core.client_options.ClientOptions, dict]] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = <google.api_core.gapic_v1.client_info.ClientInfo object>)Enables speech transcription and resource management.
Properties
transport
Returns the transport used by the client instance.
| 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_v2.services.speech.transports.base.SpeechTransport]] = None, client_options: Optional[Union[google.api_core.client_options.ClientOptions, dict]] = 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, SpeechTransport]
The transport to use. If set to None, a transport is chosen automatically. |
client_options |
Optional[Union[google.api_core.client_options.ClientOptions, dict]]
Custom options for the client. It won't take effect if a |
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 |
| 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.
batch_recognize
batch_recognize(request: Optional[Union[google.cloud.speech_v2.types.cloud_speech.BatchRecognizeRequest, dict]] = None, *, recognizer: Optional[str] = None, config: Optional[google.cloud.speech_v2.types.cloud_speech.RecognitionConfig] = None, config_mask: Optional[google.protobuf.field_mask_pb2.FieldMask] = None, files: Optional[MutableSequence[google.cloud.speech_v2.types.cloud_speech.BatchRecognizeFileMetadata]] = 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 batch asynchronous speech recognition: send a request with N audio files and receive a long running operation that can be polled to see when the transcriptions are finished.
# 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_v2
def sample_batch_recognize():
# Create a client
client = speech_v2.SpeechClient()
# Initialize request argument(s)
request = speech_v2.BatchRecognizeRequest(
recognizer="recognizer_value",
)
# Make the request
operation = client.batch_recognize(request=request)
print("Waiting for operation to complete...")
response = operation.result()
# Handle the response
print(response)
| Name | Description |
request |
Union[google.cloud.speech_v2.types.BatchRecognizeRequest, dict]
The request object. Request message for the BatchRecognize method. |
recognizer |
str
Required. Resource name of the recognizer to be used for ASR. This corresponds to the |
config |
google.cloud.speech_v2.types.RecognitionConfig
Features and audio metadata to use for the Automatic Speech Recognition. This field in combination with the config_mask field can be used to override parts of the default_recognition_config of the Recognizer resource. This corresponds to the |
config_mask |
google.protobuf.field_mask_pb2.FieldMask
The list of fields in config that override the values in the default_recognition_config of the recognizer during this recognition request. If no mask is provided, all given fields in config override the values in the recognizer for this recognition request. If a mask is provided, only the fields listed in the mask override the config in the recognizer for this recognition request. If a wildcard ( |
files |
MutableSequence[google.cloud.speech_v2.types.BatchRecognizeFileMetadata]
Audio files with file metadata for ASR. 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.Operation | An object representing a long-running operation. The result type for the operation will be BatchRecognizeResponse Response message for BatchRecognize that is packaged into a longrunning Operation][google.longrunning.Operation]. |
cancel_operation
cancel_operation(request: Optional[google.longrunning.operations_pb2.CancelOperationRequest] = 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]] = ())Starts asynchronous cancellation on a long-running operation.
The server makes a best effort to cancel the operation, but success
is not guaranteed. If the server doesn't support this method, it returns
google.rpc.Code.UNIMPLEMENTED.
| 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. |
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.
config_path
config_path(project: str, location: str)Returns a fully-qualified config string.
create_custom_class
create_custom_class(request: Optional[Union[google.cloud.speech_v2.types.cloud_speech.CreateCustomClassRequest, dict]] = None, *, parent: Optional[str] = None, custom_class: Optional[google.cloud.speech_v2.types.cloud_speech.CustomClass] = None, custom_class_id: Optional[str] = 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]] = ())Creates a xref_CustomClass.
# 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_v2
def sample_create_custom_class():
# Create a client
client = speech_v2.SpeechClient()
# Initialize request argument(s)
request = speech_v2.CreateCustomClassRequest(
parent="parent_value",
)
# Make the request
operation = client.create_custom_class(request=request)
print("Waiting for operation to complete...")
response = operation.result()
# Handle the response
print(response)
| Name | Description |
request |
Union[google.cloud.speech_v2.types.CreateCustomClassRequest, dict]
The request object. Request message for the CreateCustomClass method. |
parent |
str
Required. The project and location where this CustomClass will be created. The expected format is |
custom_class |
google.cloud.speech_v2.types.CustomClass
Required. The CustomClass to create. This corresponds to the |
custom_class_id |
str
The ID to use for the CustomClass, which will become the final component of the CustomClass's resource name. This value should be 4-63 characters, and valid characters are / |
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.Operation | An object representing a long-running operation. The result type for the operation will be CustomClass CustomClass for biasing in speech recognition. Used to define a set of words or phrases that represents a common concept or theme likely to appear in your audio, for example a list of passenger ship names. |
create_phrase_set
create_phrase_set(request: Optional[Union[google.cloud.speech_v2.types.cloud_speech.CreatePhraseSetRequest, dict]] = None, *, parent: Optional[str] = None, phrase_set: Optional[google.cloud.speech_v2.types.cloud_speech.PhraseSet] = None, phrase_set_id: Optional[str] = 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]] = ())Creates a xref_PhraseSet.
# 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_v2
def sample_create_phrase_set():
# Create a client
client = speech_v2.SpeechClient()
# Initialize request argument(s)
request = speech_v2.CreatePhraseSetRequest(
parent="parent_value",
)
# Make the request
operation = client.create_phrase_set(request=request)
print("Waiting for operation to complete...")
response = operation.result()
# Handle the response
print(response)
| Name | Description |
request |
Union[google.cloud.speech_v2.types.CreatePhraseSetRequest, dict]
The request object. Request message for the CreatePhraseSet method. |
parent |
str
Required. The project and location where this PhraseSet will be created. The expected format is |
phrase_set |
google.cloud.speech_v2.types.PhraseSet
Required. The PhraseSet to create. This corresponds to the |
phrase_set_id |
str
The ID to use for the PhraseSet, which will become the final component of the PhraseSet's resource name. This value should be 4-63 characters, and valid characters are / |
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.Operation | An object representing a long-running operation. The result type for the operation will be PhraseSet PhraseSet for biasing in speech recognition. A PhraseSet is used to provide "hints" to the speech recognizer to favor specific words and phrases in the results. |
create_recognizer
create_recognizer(request: Optional[Union[google.cloud.speech_v2.types.cloud_speech.CreateRecognizerRequest, dict]] = None, *, parent: Optional[str] = None, recognizer: Optional[google.cloud.speech_v2.types.cloud_speech.Recognizer] = None, recognizer_id: Optional[str] = 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]] = ())Creates a xref_Recognizer.
# 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_v2
def sample_create_recognizer():
# Create a client
client = speech_v2.SpeechClient()
# Initialize request argument(s)
recognizer = speech_v2.Recognizer()
recognizer.model = "model_value"
recognizer.language_codes = ['language_codes_value1', 'language_codes_value2']
request = speech_v2.CreateRecognizerRequest(
recognizer=recognizer,
parent="parent_value",
)
# Make the request
operation = client.create_recognizer(request=request)
print("Waiting for operation to complete...")
response = operation.result()
# Handle the response
print(response)
| Name | Description |
request |
Union[google.cloud.speech_v2.types.CreateRecognizerRequest, dict]
The request object. Request message for the CreateRecognizer method. |
parent |
str
Required. The project and location where this Recognizer will be created. The expected format is |
recognizer |
google.cloud.speech_v2.types.Recognizer
Required. The Recognizer to create. This corresponds to the |
recognizer_id |
str
The ID to use for the Recognizer, which will become the final component of the Recognizer's resource name. This value should be 4-63 characters, and valid characters are / |
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.Operation | An object representing a long-running operation. The result type for the operation will be Recognizer A Recognizer message. Stores recognition configuration and metadata. |
crypto_key_path
crypto_key_path(project: str, location: str, key_ring: str, crypto_key: str)Returns a fully-qualified crypto_key string.
crypto_key_version_path
crypto_key_version_path(
project: str, location: str, key_ring: str, crypto_key: str, crypto_key_version: str
)Returns a fully-qualified crypto_key_version string.
custom_class_path
custom_class_path(project: str, location: str, custom_class: str)Returns a fully-qualified custom_class string.
delete_custom_class
delete_custom_class(request: Optional[Union[google.cloud.speech_v2.types.cloud_speech.DeleteCustomClassRequest, dict]] = None, *, name: Optional[str] = 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]] = ())Deletes the xref_CustomClass.
# 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_v2
def sample_delete_custom_class():
# Create a client
client = speech_v2.SpeechClient()
# Initialize request argument(s)
request = speech_v2.DeleteCustomClassRequest(
name="name_value",
)
# Make the request
operation = client.delete_custom_class(request=request)
print("Waiting for operation to complete...")
response = operation.result()
# Handle the response
print(response)
| Name | Description |
request |
Union[google.cloud.speech_v2.types.DeleteCustomClassRequest, dict]
The request object. Request message for the DeleteCustomClass method. |
name |
str
Required. The name of the CustomClass to delete. Format: |
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.Operation | An object representing a long-running operation. The result type for the operation will be CustomClass CustomClass for biasing in speech recognition. Used to define a set of words or phrases that represents a common concept or theme likely to appear in your audio, for example a list of passenger ship names. |
delete_operation
delete_operation(request: Optional[google.longrunning.operations_pb2.DeleteOperationRequest] = 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]] = ())Deletes a long-running operation.
This method indicates that the client is no longer interested
in the operation result. It does not cancel the operation.
If the server doesn't support this method, it returns
google.rpc.Code.UNIMPLEMENTED.
| 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. |
delete_phrase_set
delete_phrase_set(request: Optional[Union[google.cloud.speech_v2.types.cloud_speech.DeletePhraseSetRequest, dict]] = None, *, name: Optional[str] = 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]] = ())Deletes the xref_PhraseSet.
# 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_v2
def sample_delete_phrase_set():
# Create a client
client = speech_v2.SpeechClient()
# Initialize request argument(s)
request = speech_v2.DeletePhraseSetRequest(
name="name_value",
)
# Make the request
operation = client.delete_phrase_set(request=request)
print("Waiting for operation to complete...")
response = operation.result()
# Handle the response
print(response)
| Name | Description |
request |
Union[google.cloud.speech_v2.types.DeletePhraseSetRequest, dict]
The request object. Request message for the DeletePhraseSet method. |
name |
str
Required. The name of the PhraseSet to delete. Format: |
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.Operation | An object representing a long-running operation. The result type for the operation will be PhraseSet PhraseSet for biasing in speech recognition. A PhraseSet is used to provide "hints" to the speech recognizer to favor specific words and phrases in the results. |
delete_recognizer
delete_recognizer(request: Optional[Union[google.cloud.speech_v2.types.cloud_speech.DeleteRecognizerRequest, dict]] = None, *, name: Optional[str] = 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]] = ())Deletes the xref_Recognizer.
# 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_v2
def sample_delete_recognizer():
# Create a client
client = speech_v2.SpeechClient()
# Initialize request argument(s)
request = speech_v2.DeleteRecognizerRequest(
name="name_value",
)
# Make the request
operation = client.delete_recognizer(request=request)
print("Waiting for operation to complete...")
response = operation.result()
# Handle the response
print(response)
| Name | Description |
request |
Union[google.cloud.speech_v2.types.DeleteRecognizerRequest, dict]
The request object. Request message for the DeleteRecognizer method. |
name |
str
Required. The name of the Recognizer to delete. Format: |
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.Operation | An object representing a long-running operation. The result type for the operation will be Recognizer A Recognizer message. Stores recognition configuration and metadata. |
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 |
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.
| Name | Description |
info |
dict
The service account private key info. |
| 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.
| Name | Description |
filename |
str
The path to the service account private key json file. |
| Type | Description |
SpeechClient | The constructed client. |
get_config
get_config(request: Optional[Union[google.cloud.speech_v2.types.cloud_speech.GetConfigRequest, dict]] = None, *, name: Optional[str] = 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]] = ())Returns the requested xref_Config.
# 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_v2
def sample_get_config():
# Create a client
client = speech_v2.SpeechClient()
# Initialize request argument(s)
request = speech_v2.GetConfigRequest(
name="name_value",
)
# Make the request
response = client.get_config(request=request)
# Handle the response
print(response)
| Name | Description |
request |
Union[google.cloud.speech_v2.types.GetConfigRequest, dict]
The request object. Request message for the GetConfig method. |
name |
str
Required. The name of the config to retrieve. There is exactly one config resource per project per location. The expected format is |
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_v2.types.Config | Message representing the config for the Speech-to-Text API. This includes an optional [KMS key](\ https://cloud.google.com/kms/docs/resource-hierarchy#keys) with which incoming data will be encrypted. |
get_custom_class
get_custom_class(request: Optional[Union[google.cloud.speech_v2.types.cloud_speech.GetCustomClassRequest, dict]] = None, *, name: Optional[str] = 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]] = ())Returns the requested xref_CustomClass.
# 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_v2
def sample_get_custom_class():
# Create a client
client = speech_v2.SpeechClient()
# Initialize request argument(s)
request = speech_v2.GetCustomClassRequest(
name="name_value",
)
# Make the request
response = client.get_custom_class(request=request)
# Handle the response
print(response)
| Name | Description |
request |
Union[google.cloud.speech_v2.types.GetCustomClassRequest, dict]
The request object. Request message for the GetCustomClass method. |
name |
str
Required. The name of the CustomClass to retrieve. The expected format is |
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_v2.types.CustomClass | CustomClass for biasing in speech recognition. Used to define a set of words or phrases that represents a common concept or theme likely to appear in your audio, for example a list of passenger ship names. |
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_phrase_set
get_phrase_set(request: Optional[Union[google.cloud.speech_v2.types.cloud_speech.GetPhraseSetRequest, dict]] = None, *, name: Optional[str] = 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]] = ())Returns the requested xref_PhraseSet.
# 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_v2
def sample_get_phrase_set():
# Create a client
client = speech_v2.SpeechClient()
# Initialize request argument(s)
request = speech_v2.GetPhraseSetRequest(
name="name_value",
)
# Make the request
response = client.get_phrase_set(request=request)
# Handle the response
print(response)
| Name | Description |
request |
Union[google.cloud.speech_v2.types.GetPhraseSetRequest, dict]
The request object. Request message for the GetPhraseSet method. |
name |
str
Required. The name of the PhraseSet to retrieve. The expected format is |
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_v2.types.PhraseSet | PhraseSet for biasing in speech recognition. A PhraseSet is used to provide "hints" to the speech recognizer to favor specific words and phrases in the results. |
get_recognizer
get_recognizer(request: Optional[Union[google.cloud.speech_v2.types.cloud_speech.GetRecognizerRequest, dict]] = None, *, name: Optional[str] = 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]] = ())Returns the requested
xref_Recognizer. Fails with
NOT_FOUND][google.rpc.Code.NOT_FOUND] if the requested
recognizer doesn't exist.
# 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_v2
def sample_get_recognizer():
# Create a client
client = speech_v2.SpeechClient()
# Initialize request argument(s)
request = speech_v2.GetRecognizerRequest(
name="name_value",
)
# Make the request
response = client.get_recognizer(request=request)
# Handle the response
print(response)
| Name | Description |
request |
Union[google.cloud.speech_v2.types.GetRecognizerRequest, dict]
The request object. Request message for the GetRecognizer method. |
name |
str
Required. The name of the Recognizer to retrieve. The expected format is |
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_v2.types.Recognizer | A Recognizer message. Stores recognition configuration and metadata. |
list_custom_classes
list_custom_classes(request: Optional[Union[google.cloud.speech_v2.types.cloud_speech.ListCustomClassesRequest, dict]] = None, *, parent: Optional[str] = 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 CustomClasses.
# 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_v2
def sample_list_custom_classes():
# Create a client
client = speech_v2.SpeechClient()
# Initialize request argument(s)
request = speech_v2.ListCustomClassesRequest(
parent="parent_value",
)
# Make the request
page_result = client.list_custom_classes(request=request)
# Handle the response
for response in page_result:
print(response)
| Name | Description |
request |
Union[google.cloud.speech_v2.types.ListCustomClassesRequest, dict]
The request object. Request message for the ListCustomClasses method. |
parent |
str
Required. The project and location of CustomClass resources to list. The expected format is |
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_v2.services.speech.pagers.ListCustomClassesPager | Response message for the ListCustomClasses method. Iterating over this object will yield results and resolve additional pages automatically. |
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. |
list_phrase_sets
list_phrase_sets(request: Optional[Union[google.cloud.speech_v2.types.cloud_speech.ListPhraseSetsRequest, dict]] = None, *, parent: Optional[str] = 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 PhraseSets.
# 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_v2
def sample_list_phrase_sets():
# Create a client
client = speech_v2.SpeechClient()
# Initialize request argument(s)
request = speech_v2.ListPhraseSetsRequest(
parent="parent_value",
)
# Make the request
page_result = client.list_phrase_sets(request=request)
# Handle the response
for response in page_result:
print(response)
| Name | Description |
request |
Union[google.cloud.speech_v2.types.ListPhraseSetsRequest, dict]
The request object. Request message for the ListPhraseSets method. |
parent |
str
Required. The project and location of PhraseSet resources to list. The expected format is |
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_v2.services.speech.pagers.ListPhraseSetsPager | Response message for the ListPhraseSets method. Iterating over this object will yield results and resolve additional pages automatically. |
list_recognizers
list_recognizers(request: Optional[Union[google.cloud.speech_v2.types.cloud_speech.ListRecognizersRequest, dict]] = None, *, parent: Optional[str] = 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 Recognizers.
# 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_v2
def sample_list_recognizers():
# Create a client
client = speech_v2.SpeechClient()
# Initialize request argument(s)
request = speech_v2.ListRecognizersRequest(
parent="parent_value",
)
# Make the request
page_result = client.list_recognizers(request=request)
# Handle the response
for response in page_result:
print(response)
| Name | Description |
request |
Union[google.cloud.speech_v2.types.ListRecognizersRequest, dict]
The request object. Request message for the ListRecognizers method. |
parent |
str
Required. The project and location of Recognizers to list. The expected format is |
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_v2.services.speech.pagers.ListRecognizersPager | Response message for the ListRecognizers method. Iterating over this object will yield results and resolve additional pages automatically. |
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_config_path
parse_config_path(path: str)Parses a config path into its component segments.
parse_crypto_key_path
parse_crypto_key_path(path: str)Parses a crypto_key path into its component segments.
parse_crypto_key_version_path
parse_crypto_key_version_path(path: str)Parses a crypto_key_version 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.
parse_recognizer_path
parse_recognizer_path(path: str)Parses a recognizer 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_v2.types.cloud_speech.RecognizeRequest, dict]] = None, *, recognizer: Optional[str] = None, config: Optional[google.cloud.speech_v2.types.cloud_speech.RecognitionConfig] = None, config_mask: Optional[google.protobuf.field_mask_pb2.FieldMask] = None, content: Optional[bytes] = None, uri: Optional[str] = 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_v2
def sample_recognize():
# Create a client
client = speech_v2.SpeechClient()
# Initialize request argument(s)
request = speech_v2.RecognizeRequest(
content=b'content_blob',
recognizer="recognizer_value",
)
# Make the request
response = client.recognize(request=request)
# Handle the response
print(response)
| Name | Description |
request |
Union[google.cloud.speech_v2.types.RecognizeRequest, dict]
The request object. Request message for the Recognize method. Either |
recognizer |
str
Required. The name of the Recognizer to use during recognition. The expected format is |
config |
google.cloud.speech_v2.types.RecognitionConfig
Features and audio metadata to use for the Automatic Speech Recognition. This field in combination with the config_mask field can be used to override parts of the default_recognition_config of the Recognizer resource. This corresponds to the |
config_mask |
google.protobuf.field_mask_pb2.FieldMask
The list of fields in config that override the values in the default_recognition_config of the recognizer during this recognition request. If no mask is provided, all non-default valued fields in config override the values in the recognizer for this recognition request. If a mask is provided, only the fields listed in the mask override the config in the recognizer for this recognition request. If a wildcard ( |
content |
bytes
The audio data bytes encoded as specified in RecognitionConfig. As with all bytes fields, proto buffers use a pure binary representation, whereas JSON representations use base64. This corresponds to the |
uri |
str
URI that points to a file that contains audio data bytes as specified in RecognitionConfig. The file must not be compressed (for example, gzip). Currently, only Google Cloud Storage URIs are supported, which must be specified in the following format: |
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_v2.types.RecognizeResponse | Response message for the Recognize method. |
recognizer_path
recognizer_path(project: str, location: str, recognizer: str)Returns a fully-qualified recognizer string.
streaming_recognize
streaming_recognize(requests: Optional[Iterator[google.cloud.speech_v2.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_v2
def sample_streaming_recognize():
# Create a client
client = speech_v2.SpeechClient()
# Initialize request argument(s)
request = speech_v2.StreamingRecognizeRequest(
recognizer="recognizer_value",
)
# This method expects an iterator which contains
# 'speech_v2.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)
| Name | Description |
requests |
Iterator[google.cloud.speech_v2.types.StreamingRecognizeRequest]
The request object iterator. Request message for the StreamingRecognize method. Multiple StreamingRecognizeRequest messages are sent. The first message must contain a recognizer and optionally a streaming_config message and must not contain audio. All subsequent messages must contain audio 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. |
| Type | Description |
Iterable[google.cloud.speech_v2.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 then no messages are streamed back to the client. Here are some examples 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. |
undelete_custom_class
undelete_custom_class(request: Optional[Union[google.cloud.speech_v2.types.cloud_speech.UndeleteCustomClassRequest, dict]] = None, *, name: Optional[str] = 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]] = ())Undeletes the xref_CustomClass.
# 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_v2
def sample_undelete_custom_class():
# Create a client
client = speech_v2.SpeechClient()
# Initialize request argument(s)
request = speech_v2.UndeleteCustomClassRequest(
name="name_value",
)
# Make the request
operation = client.undelete_custom_class(request=request)
print("Waiting for operation to complete...")
response = operation.result()
# Handle the response
print(response)
| Name | Description |
request |
Union[google.cloud.speech_v2.types.UndeleteCustomClassRequest, dict]
The request object. Request message for the UndeleteCustomClass method. |
name |
str
Required. The name of the CustomClass to undelete. Format: |
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.Operation | An object representing a long-running operation. The result type for the operation will be CustomClass CustomClass for biasing in speech recognition. Used to define a set of words or phrases that represents a common concept or theme likely to appear in your audio, for example a list of passenger ship names. |
undelete_phrase_set
undelete_phrase_set(request: Optional[Union[google.cloud.speech_v2.types.cloud_speech.UndeletePhraseSetRequest, dict]] = None, *, name: Optional[str] = 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]] = ())Undeletes the xref_PhraseSet.
# 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_v2
def sample_undelete_phrase_set():
# Create a client
client = speech_v2.SpeechClient()
# Initialize request argument(s)
request = speech_v2.UndeletePhraseSetRequest(
name="name_value",
)
# Make the request
operation = client.undelete_phrase_set(request=request)
print("Waiting for operation to complete...")
response = operation.result()
# Handle the response
print(response)
| Name | Description |
request |
Union[google.cloud.speech_v2.types.UndeletePhraseSetRequest, dict]
The request object. Request message for the UndeletePhraseSet method. |
name |
str
Required. The name of the PhraseSet to undelete. Format: |
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.Operation | An object representing a long-running operation. The result type for the operation will be PhraseSet PhraseSet for biasing in speech recognition. A PhraseSet is used to provide "hints" to the speech recognizer to favor specific words and phrases in the results. |
undelete_recognizer
undelete_recognizer(request: Optional[Union[google.cloud.speech_v2.types.cloud_speech.UndeleteRecognizerRequest, dict]] = None, *, name: Optional[str] = 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]] = ())Undeletes the xref_Recognizer.
# 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_v2
def sample_undelete_recognizer():
# Create a client
client = speech_v2.SpeechClient()
# Initialize request argument(s)
request = speech_v2.UndeleteRecognizerRequest(
name="name_value",
)
# Make the request
operation = client.undelete_recognizer(request=request)
print("Waiting for operation to complete...")
response = operation.result()
# Handle the response
print(response)
| Name | Description |
request |
Union[google.cloud.speech_v2.types.UndeleteRecognizerRequest, dict]
The request object. Request message for the UndeleteRecognizer method. |
name |
str
Required. The name of the Recognizer to undelete. Format: |
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.Operation | An object representing a long-running operation. The result type for the operation will be Recognizer A Recognizer message. Stores recognition configuration and metadata. |
update_config
update_config(request: Optional[Union[google.cloud.speech_v2.types.cloud_speech.UpdateConfigRequest, dict]] = None, *, config: Optional[google.cloud.speech_v2.types.cloud_speech.Config] = None, update_mask: Optional[google.protobuf.field_mask_pb2.FieldMask] = 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]] = ())Updates the xref_Config.
# 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_v2
def sample_update_config():
# Create a client
client = speech_v2.SpeechClient()
# Initialize request argument(s)
request = speech_v2.UpdateConfigRequest(
)
# Make the request
response = client.update_config(request=request)
# Handle the response
print(response)
| Name | Description |
request |
Union[google.cloud.speech_v2.types.UpdateConfigRequest, dict]
The request object. Request message for the UpdateConfig method. |
config |
google.cloud.speech_v2.types.Config
Required. The config to update. The config's |
update_mask |
google.protobuf.field_mask_pb2.FieldMask
The list of fields to be updated. 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_v2.types.Config | Message representing the config for the Speech-to-Text API. This includes an optional [KMS key](\ https://cloud.google.com/kms/docs/resource-hierarchy#keys) with which incoming data will be encrypted. |
update_custom_class
update_custom_class(request: Optional[Union[google.cloud.speech_v2.types.cloud_speech.UpdateCustomClassRequest, dict]] = None, *, custom_class: Optional[google.cloud.speech_v2.types.cloud_speech.CustomClass] = None, update_mask: Optional[google.protobuf.field_mask_pb2.FieldMask] = 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]] = ())Updates the xref_CustomClass.
# 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_v2
def sample_update_custom_class():
# Create a client
client = speech_v2.SpeechClient()
# Initialize request argument(s)
request = speech_v2.UpdateCustomClassRequest(
)
# Make the request
operation = client.update_custom_class(request=request)
print("Waiting for operation to complete...")
response = operation.result()
# Handle the response
print(response)
| Name | Description |
request |
Union[google.cloud.speech_v2.types.UpdateCustomClassRequest, dict]
The request object. Request message for the UpdateCustomClass method. |
custom_class |
google.cloud.speech_v2.types.CustomClass
Required. The CustomClass to update. The CustomClass's |
update_mask |
google.protobuf.field_mask_pb2.FieldMask
The list of fields to be updated. If empty, all fields are considered for update. 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.Operation | An object representing a long-running operation. The result type for the operation will be CustomClass CustomClass for biasing in speech recognition. Used to define a set of words or phrases that represents a common concept or theme likely to appear in your audio, for example a list of passenger ship names. |
update_phrase_set
update_phrase_set(request: Optional[Union[google.cloud.speech_v2.types.cloud_speech.UpdatePhraseSetRequest, dict]] = None, *, phrase_set: Optional[google.cloud.speech_v2.types.cloud_speech.PhraseSet] = None, update_mask: Optional[google.protobuf.field_mask_pb2.FieldMask] = 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]] = ())Updates the xref_PhraseSet.
# 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_v2
def sample_update_phrase_set():
# Create a client
client = speech_v2.SpeechClient()
# Initialize request argument(s)
request = speech_v2.UpdatePhraseSetRequest(
)
# Make the request
operation = client.update_phrase_set(request=request)
print("Waiting for operation to complete...")
response = operation.result()
# Handle the response
print(response)
| Name | Description |
request |
Union[google.cloud.speech_v2.types.UpdatePhraseSetRequest, dict]
The request object. Request message for the UpdatePhraseSet method. |
phrase_set |
google.cloud.speech_v2.types.PhraseSet
Required. The PhraseSet to update. The PhraseSet's |
update_mask |
google.protobuf.field_mask_pb2.FieldMask
The list of fields to update. If empty, all non-default valued fields are considered for update. Use |
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.Operation | An object representing a long-running operation. The result type for the operation will be PhraseSet PhraseSet for biasing in speech recognition. A PhraseSet is used to provide "hints" to the speech recognizer to favor specific words and phrases in the results. |
update_recognizer
update_recognizer(request: Optional[Union[google.cloud.speech_v2.types.cloud_speech.UpdateRecognizerRequest, dict]] = None, *, recognizer: Optional[google.cloud.speech_v2.types.cloud_speech.Recognizer] = None, update_mask: Optional[google.protobuf.field_mask_pb2.FieldMask] = 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]] = ())Updates the xref_Recognizer.
# 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_v2
def sample_update_recognizer():
# Create a client
client = speech_v2.SpeechClient()
# Initialize request argument(s)
recognizer = speech_v2.Recognizer()
recognizer.model = "model_value"
recognizer.language_codes = ['language_codes_value1', 'language_codes_value2']
request = speech_v2.UpdateRecognizerRequest(
recognizer=recognizer,
)
# Make the request
operation = client.update_recognizer(request=request)
print("Waiting for operation to complete...")
response = operation.result()
# Handle the response
print(response)
| Name | Description |
request |
Union[google.cloud.speech_v2.types.UpdateRecognizerRequest, dict]
The request object. Request message for the UpdateRecognizer method. |
recognizer |
google.cloud.speech_v2.types.Recognizer
Required. The Recognizer to update. The Recognizer's |
update_mask |
google.protobuf.field_mask_pb2.FieldMask
The list of fields to update. If empty, all non-default valued fields are considered for update. Use |
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.Operation | An object representing a long-running operation. The result type for the operation will be Recognizer A Recognizer message. Stores recognition configuration and metadata. |