| transcribeservice {paws.machine.learning} | R Documentation |
Amazon Transcribe Service
Description
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.
Usage
transcribeservice(
config = list(),
credentials = list(),
endpoint = NULL,
region = NULL
)
Arguments
config |
Optional configuration of credentials, endpoint, and/or region.
|
credentials |
Optional credentials shorthand for the config parameter
|
endpoint |
Optional shorthand for complete URL to use for the constructed client. |
region |
Optional shorthand for AWS Region used in instantiating the client. |
Value
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)