Module aws_sdk_transcribestreaming::types
source · Expand description
Data structures used by operation inputs/outputs.
Modules§
- Builders
- Error types that Amazon Transcribe Streaming Service can respond with.
Structs§
A list of possible alternative transcriptions for the input audio. Each alternative may contain one or more of
Items
,Entities
, orTranscript
.A wrapper for your audio chunks. Your audio stream consists of one or more audio events, which consist of one or more audio chunks.
Contains entities identified as personally identifiable information (PII) in your transcription output, along with various associated attributes. Examples include category, confidence score, content, type, and start and end times.
A word, phrase, or punctuation mark in your Call Analytics transcription output, along with various associated attributes, such as confidence score, type, and start and end times.
Provides information on any
TranscriptFilterType
categories that matched your transcription output. Matches are identified for each segment upon completion of that segment.Makes it possible to specify which speaker is on which audio channel. For example, if your agent is the first participant to speak, you would set
ChannelId
to0
(to indicate the first channel) andParticipantRole
toAGENT
(to indicate that it's the agent speaking).Provides the location, using character count, in your transcript where a match is identified. For example, the location of an issue or a category match within a segment.
Allows you to set audio channel definitions and post-call analytics settings.
Contains entities identified as personally identifiable information (PII) in your transcription output, along with various associated attributes. Examples include category, confidence score, type, stability score, and start and end times.
Lists the issues that were identified in your audio segment.
A word, phrase, or punctuation mark in your transcription output, along with various associated attributes, such as confidence score, type, and start and end times.
The language code that represents the language identified in your audio, including the associated confidence score. If you enabled channel identification in your request and each channel contained a different language, you will have more than one
LanguageWithScore
result.A list of possible alternative transcriptions for the input audio. Each alternative may contain one or more of
Items
,Entities
, orTranscript
.Contains entities identified as personal health information (PHI) in your transcription output, along with various associated attributes. Examples include category, confidence score, type, stability score, and start and end times.
A word, phrase, or punctuation mark in your transcription output, along with various associated attributes, such as confidence score, type, and start and end times.
The
Result
associated with a.
The
MedicalTranscript
associated with a.
The
MedicalTranscriptEvent
associated with aMedicalTranscriptResultStream
.Contains the timestamps of matched categories.
Allows you to specify additional settings for your streaming Call Analytics post-call request, including output locations for your redacted and unredacted transcript, which IAM role to use, and, optionally, which encryption key to use.
The
Result
associated with a.
Contains the timestamp range (start time through end time) of a matched category.
The
Transcript
associated with a.
The
TranscriptEvent
associated with aTranscriptResultStream
.Contains set of transcription results from one or more audio segments, along with additional information about the parameters included in your request. For example, channel definitions, partial result stabilization, sentiment, and issue detection.
Enums§
An encoded stream of audio blobs. Audio streams are encoded as either HTTP/2 or WebSocket data frames.
- When writing a match expression against
CallAnalyticsLanguageCode
, it is important to ensure your code is forward-compatible. That is, if a match arm handles a case for a feature that is supported by the service but has not been represented as an enum variant in a current version of SDK, your code should continue to work when you upgrade SDK to a future version in which the enum does include a variant for that feature. Contains detailed information about your Call Analytics streaming session. These details are provided in the
UtteranceEvent
andCategoryEvent
objects.- When writing a match expression against
ContentIdentificationType
, it is important to ensure your code is forward-compatible. That is, if a match arm handles a case for a feature that is supported by the service but has not been represented as an enum variant in a current version of SDK, your code should continue to work when you upgrade SDK to a future version in which the enum does include a variant for that feature. - When writing a match expression against
ContentRedactionOutput
, it is important to ensure your code is forward-compatible. That is, if a match arm handles a case for a feature that is supported by the service but has not been represented as an enum variant in a current version of SDK, your code should continue to work when you upgrade SDK to a future version in which the enum does include a variant for that feature. - When writing a match expression against
ContentRedactionType
, it is important to ensure your code is forward-compatible. That is, if a match arm handles a case for a feature that is supported by the service but has not been represented as an enum variant in a current version of SDK, your code should continue to work when you upgrade SDK to a future version in which the enum does include a variant for that feature. - When writing a match expression against
ItemType
, it is important to ensure your code is forward-compatible. That is, if a match arm handles a case for a feature that is supported by the service but has not been represented as an enum variant in a current version of SDK, your code should continue to work when you upgrade SDK to a future version in which the enum does include a variant for that feature. - When writing a match expression against
LanguageCode
, it is important to ensure your code is forward-compatible. That is, if a match arm handles a case for a feature that is supported by the service but has not been represented as an enum variant in a current version of SDK, your code should continue to work when you upgrade SDK to a future version in which the enum does include a variant for that feature. - When writing a match expression against
MediaEncoding
, it is important to ensure your code is forward-compatible. That is, if a match arm handles a case for a feature that is supported by the service but has not been represented as an enum variant in a current version of SDK, your code should continue to work when you upgrade SDK to a future version in which the enum does include a variant for that feature. - When writing a match expression against
MedicalContentIdentificationType
, it is important to ensure your code is forward-compatible. That is, if a match arm handles a case for a feature that is supported by the service but has not been represented as an enum variant in a current version of SDK, your code should continue to work when you upgrade SDK to a future version in which the enum does include a variant for that feature. Contains detailed information about your streaming session.
- When writing a match expression against
PartialResultsStability
, it is important to ensure your code is forward-compatible. That is, if a match arm handles a case for a feature that is supported by the service but has not been represented as an enum variant in a current version of SDK, your code should continue to work when you upgrade SDK to a future version in which the enum does include a variant for that feature. - When writing a match expression against
ParticipantRole
, it is important to ensure your code is forward-compatible. That is, if a match arm handles a case for a feature that is supported by the service but has not been represented as an enum variant in a current version of SDK, your code should continue to work when you upgrade SDK to a future version in which the enum does include a variant for that feature. - When writing a match expression against
Sentiment
, it is important to ensure your code is forward-compatible. That is, if a match arm handles a case for a feature that is supported by the service but has not been represented as an enum variant in a current version of SDK, your code should continue to work when you upgrade SDK to a future version in which the enum does include a variant for that feature. - When writing a match expression against
Specialty
, it is important to ensure your code is forward-compatible. That is, if a match arm handles a case for a feature that is supported by the service but has not been represented as an enum variant in a current version of SDK, your code should continue to work when you upgrade SDK to a future version in which the enum does include a variant for that feature. Contains detailed information about your streaming session.
- When writing a match expression against
Type
, it is important to ensure your code is forward-compatible. That is, if a match arm handles a case for a feature that is supported by the service but has not been represented as an enum variant in a current version of SDK, your code should continue to work when you upgrade SDK to a future version in which the enum does include a variant for that feature. - When writing a match expression against
VocabularyFilterMethod
, it is important to ensure your code is forward-compatible. That is, if a match arm handles a case for a feature that is supported by the service but has not been represented as an enum variant in a current version of SDK, your code should continue to work when you upgrade SDK to a future version in which the enum does include a variant for that feature.