transcribeservice function

Amazon Transcribe Service

Amazon Transcribe offers three main types of batch transcription: Standard , Medical , and Call Analytics .

• Standard transcriptions are the most common option. Refer to for details.
• Medical transcriptions are tailored to medical professionals and incorporate medical terms. A common use case for this service is transcribing doctor-patient dialogue into after-visit notes. Refer to for details.
• Call Analytics transcriptions are designed for use with call center audio on two different channels; if you're looking for insight into customer service calls, use this option. Refer to for details.

transcribeservice(
  config = list(),
  credentials = list(),
  endpoint = NULL,
  region = NULL
)

Arguments

• config: Optional configuration of credentials, endpoint, and/or region.

  • credentials :

    • creds :

      • access_key_id : AWS access key ID
      • secret_access_key : AWS secret access key
      • session_token : AWS temporary session token

    • profile : The name of a profile to use. If not given, then the default profile is used.

    • anonymous : Set anonymous credentials.

  • endpoint : The complete URL to use for the constructed client.

  • region : The AWS Region used in instantiating the client.

  • close_connection : Immediately close all HTTP connections.

  • timeout : The time in seconds till a timeout exception is thrown when attempting to make a connection. The default is 60 seconds.

  • s3_force_path_style : Set this to true to force the request to use path-style addressing, i.e. http://s3.amazonaws.com/BUCKET/KEY.

  • sts_regional_endpoint : Set sts regional endpoint resolver to regional or legacy https://docs.aws.amazon.com/sdkref/latest/guide/feature-sts-regionalized-endpoints.html

• credentials: Optional credentials shorthand for the config parameter

  • creds :

    • access_key_id : AWS access key ID
    • secret_access_key : AWS secret access key
    • session_token : AWS temporary session token

  • profile : The name of a profile to use. If not given, then the default profile is used.

  • anonymous : Set anonymous credentials.

• endpoint: Optional shorthand for complete URL to use for the constructed client.

• region: Optional shorthand for AWS Region used in instantiating the client.

Returns

A client for the service. You can call the service's operations using syntax like svc$operation(...), where svc is the name you've assigned to the client. The available operations are listed in the Operations section.

Service syntax

svc <- transcribeservice(
  config = list(
    credentials = list(
 creds = list(
   access_key_id = "string",
   secret_access_key = "string",
   session_token = "string"
 ),
 profile = "string",
 anonymous = "logical"
    ),
    endpoint = "string",
    region = "string",
    close_connection = "logical",
    timeout = "numeric",
    s3_force_path_style = "logical",
    sts_regional_endpoint = "string"
  ),
  credentials = list(
    creds = list(
 access_key_id = "string",
 secret_access_key = "string",
 session_token = "string"
    ),
    profile = "string",
    anonymous = "logical"
  ),
  endpoint = "string",
  region = "string"
)

Operations

create_call_analytics_category	Creates a new Call Analytics category
create_language_model	Creates a new custom language model
create_medical_vocabulary	Creates a new custom medical vocabulary
create_vocabulary	Creates a new custom vocabulary
create_vocabulary_filter	Creates a new custom vocabulary filter
delete_call_analytics_category	Deletes a Call Analytics category
delete_call_analytics_job	Deletes a Call Analytics job
delete_language_model	Deletes a custom language model
delete_medical_scribe_job	Deletes a Medical Scribe job
delete_medical_transcription_job	Deletes a medical transcription job
delete_medical_vocabulary	Deletes a custom medical vocabulary
delete_transcription_job	Deletes a transcription job
delete_vocabulary	Deletes a custom vocabulary
delete_vocabulary_filter	Deletes a custom vocabulary filter
describe_language_model	Provides information about the specified custom language model
get_call_analytics_category	Provides information about the specified Call Analytics category
get_call_analytics_job	Provides information about the specified Call Analytics job
get_medical_scribe_job	Provides information about the specified Medical Scribe job
get_medical_transcription_job	Provides information about the specified medical transcription job
get_medical_vocabulary	Provides information about the specified custom medical vocabulary
get_transcription_job	Provides information about the specified transcription job
get_vocabulary	Provides information about the specified custom vocabulary
get_vocabulary_filter	Provides information about the specified custom vocabulary filter
list_call_analytics_categories	Provides a list of Call Analytics categories, including all rules that make up each category
list_call_analytics_jobs	Provides a list of Call Analytics jobs that match the specified criteria
list_language_models	Provides a list of custom language models that match the specified criteria
list_medical_scribe_jobs	Provides a list of Medical Scribe jobs that match the specified criteria
list_medical_transcription_jobs	Provides a list of medical transcription jobs that match the specified criteria
list_medical_vocabularies	Provides a list of custom medical vocabularies that match the specified criteria
list_tags_for_resource	Lists all tags associated with the specified transcription job, vocabulary, model, or resource
list_transcription_jobs	Provides a list of transcription jobs that match the specified criteria
list_vocabularies	Provides a list of custom vocabularies that match the specified criteria
list_vocabulary_filters	Provides a list of custom vocabulary filters that match the specified criteria
start_call_analytics_job	Transcribes the audio from a customer service call and applies any additional Request Parameters you choose to include in your request
start_medical_scribe_job	Transcribes patient-clinician conversations and generates clinical notes
start_medical_transcription_job	Transcribes the audio from a medical dictation or conversation and applies any additional Request Parameters you choose to include in your request
start_transcription_job	Transcribes the audio from a media file and applies any additional Request Parameters you choose to include in your request
tag_resource	Adds one or more custom tags, each in the form of a key:value pair, to the specified resource
untag_resource	Removes the specified tags from the specified Amazon Transcribe resource
update_call_analytics_category	Updates the specified Call Analytics category with new rules
update_medical_vocabulary	Updates an existing custom medical vocabulary with new values
update_vocabulary	Updates an existing custom vocabulary with new values
update_vocabulary_filter	Updates an existing custom vocabulary filter with a new list of words

Examples

## Not run:

svc <- transcribeservice()
svc$create_call_analytics_category(
  Foo = 123
)
## End(Not run)