Class Recognizer (2.19.0)

Version 2.19.0

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Recognizer(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A Recognizer message. Stores recognition configuration and metadata.

Attributes
Name	Description
name	str Output only. The resource name of the Recognizer. Format: projects/{project}/locations/{location}/recognizers/{recognizer}.
uid	str Output only. System-assigned unique identifier for the Recognizer.
display_name	str User-settable, human-readable name for the Recognizer. Must be 63 characters or less.
model	str Required. Which model to use for recognition requests. Select the model best suited to your domain to get best results. Supported models: - latest_long Best for long form content like media or conversation. - latest_short Best for short form content like commands or single shot directed speech. When using this model, the service will stop transcribing audio after the first utterance is detected and completed. When using this model, SEPARATE_RECOGNITION_PER_CHANNEL is not supported; multi-channel audio is accepted, but only the first channel will be processed and transcribed. - telephony Best for audio that originated from a phone call (typically recorded at an 8khz sampling rate). - medical_conversation For conversations between a medical provider—for example, a doctor or nurse—and a patient. Use this model when both a provider and a patient are speaking. Words uttered by each speaker are automatically detected and labeled in the returned transcript. For supported features please see `medical models documentation
language_codes	MutableSequence[str] Required. The language of the supplied audio as a BCP-47 __ language tag. Supported languages for each model are listed at: https://cloud.google.com/speech-to-text/docs/languages If additional languages are provided, recognition result will contain recognition in the most likely language detected. The recognition result will include the language tag of the language detected in the audio. When you create or update a Recognizer, these values are stored in normalized BCP-47 form. For example, "en-us" is stored as "en-US".
default_recognition_config	google.cloud.speech_v2.types.RecognitionConfig Default configuration to use for requests with this Recognizer. This can be overwritten by inline configuration in the RecognizeRequest.config field.
annotations	MutableMapping[str, str] Allows users to store small amounts of arbitrary data. Both the key and the value must be 63 characters or less each. At most 100 annotations.
state	google.cloud.speech_v2.types.Recognizer.State Output only. The Recognizer lifecycle state.
create_time	google.protobuf.timestamp_pb2.Timestamp Output only. Creation time.
update_time	google.protobuf.timestamp_pb2.Timestamp Output only. The most recent time this Recognizer was modified.
delete_time	google.protobuf.timestamp_pb2.Timestamp Output only. The time at which this Recognizer was requested for deletion.
expire_time	google.protobuf.timestamp_pb2.Timestamp Output only. The time at which this Recognizer will be purged.
etag	str Output only. This checksum is computed by the server based on the value of other fields. This may be sent on update, undelete, and delete requests to ensure the client has an up-to-date value before proceeding.
reconciling	bool Output only. Whether or not this Recognizer is in the process of being updated.
kms_key_name	str Output only. The `KMS key name
kms_key_version_name	str Output only. The `KMS key version name

Classes

AnnotationsEntry

AnnotationsEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The abstract base class for a message.

Parameters
Name	Description
kwargs	dict Keys and values corresponding to the fields of the message.
mapping	Union[dict, .Message] A dictionary or message to be used to determine the values for this message.
ignore_unknown_fields	Optional(bool) If True, do not raise errors for unknown fields. Only applied if mapping is a mapping type or there are keyword parameters.

State

State(value)

Set of states that define the lifecycle of a Recognizer.

Values: STATE_UNSPECIFIED (0): The default value. This value is used if the state is omitted. ACTIVE (2): The Recognizer is active and ready for use. DELETED (4): This Recognizer has been deleted.