CfnMedicalTranscriptionJobMixinProps

class aws_cdk.cfn_property_mixins.aws_transcribe.CfnMedicalTranscriptionJobMixinProps(*, language_code=None, media=None, media_format=None, media_sample_rate_hertz=None, medical_transcription_job_name=None, settings=None, specialty=None, tags=None, type=None)

Bases: object

Properties for CfnMedicalTranscriptionJobPropsMixin.

Parameters:

language_code (Optional[str]) – The language code for the language spoken in the input media file. Must be en-US.
media (Union[IResolvable, MediaProperty, Dict[str, Any], None])
media_format (Optional[str]) – The format of the input media file.
media_sample_rate_hertz (Union[int, float, None]) – The sample rate of the audio in hertz.
medical_transcription_job_name (Optional[str]) – A unique name for the medical transcription job.
settings (Union[IResolvable, MedicalTranscriptionSettingProperty, Dict[str, Any], None])
specialty (Optional[str]) – The medical specialty represented in the media.
tags (Optional[Sequence[Union[CfnTag, Dict[str, Any]]]]) – Tags associated with the medical transcription job.
type (Optional[str]) – Whether the input media is a dictation or conversation.

See:

http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-transcribe-medicaltranscriptionjob.html

ExampleMetadata:

fixture=_generated

Example:

from aws_cdk import CfnTag
# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
from aws_cdk.cfn_property_mixins import aws_transcribe as transcribe

cfn_medical_transcription_job_mixin_props = transcribe.CfnMedicalTranscriptionJobMixinProps(
    language_code="languageCode",
    media=transcribe.CfnMedicalTranscriptionJobPropsMixin.MediaProperty(
        media_file_uri="mediaFileUri"
    ),
    media_format="mediaFormat",
    media_sample_rate_hertz=123,
    medical_transcription_job_name="medicalTranscriptionJobName",
    settings=transcribe.CfnMedicalTranscriptionJobPropsMixin.MedicalTranscriptionSettingProperty(
        channel_identification=False,
        show_alternatives=False
    ),
    specialty="specialty",
    tags=[CfnTag(
        key="key",
        value="value"
    )],
    type="type"
)