Struct aws_sdk_transcribe::types::MedicalTranscriptionSetting

#[non_exhaustive]
pub struct MedicalTranscriptionSetting {
    pub show_speaker_labels: Option<bool>,
    pub max_speaker_labels: Option<i32>,
    pub channel_identification: Option<bool>,
    pub show_alternatives: Option<bool>,
    pub max_alternatives: Option<i32>,
    pub vocabulary_name: Option<String>,
}

Allows additional optional settings in your request, including channel identification, alternative transcriptions, and speaker partitioning. You can use that to apply custom vocabularies to your medical transcription job.

Fields (Non-exhaustive)

Non-exhaustive structs could have additional fields added in future. Therefore, non-exhaustive structs cannot be constructed in external crates using the traditional Struct { .. } syntax; cannot be matched against without a wildcard ..; and struct update syntax will not work.

show_speaker_labels: Option<bool>

Enables speaker partitioning (diarization) in your transcription output. Speaker partitioning labels the speech from individual speakers in your media file.

If you enable ShowSpeakerLabels in your request, you must also include MaxSpeakerLabels.

For more information, see Partitioning speakers (diarization).

max_speaker_labels: Option<i32>

Specify the maximum number of speakers you want to partition in your media.

Note that if your media contains more speakers than the specified number, multiple speakers are treated as a single speaker.

If you specify the MaxSpeakerLabels field, you must set the ShowSpeakerLabels field to true.

channel_identification: Option<bool>

Enables channel identification in multi-channel audio.

Channel identification transcribes the audio on each channel independently, then appends the output for each channel into one transcript.

If you have multi-channel audio and do not enable channel identification, your audio is transcribed in a continuous manner and your transcript does not separate the speech by channel.

For more information, see Transcribing multi-channel audio.

show_alternatives: Option<bool>

To include alternative transcriptions within your transcription output, include ShowAlternatives in your transcription request.

If you include ShowAlternatives, you must also include MaxAlternatives, which is the maximum number of alternative transcriptions you want Amazon Transcribe Medical to generate.

For more information, see Alternative transcriptions.

max_alternatives: Option<i32>

Indicate the maximum number of alternative transcriptions you want Amazon Transcribe Medical to include in your transcript.

If you select a number greater than the number of alternative transcriptions generated by Amazon Transcribe Medical, only the actual number of alternative transcriptions are included.

If you include MaxAlternatives in your request, you must also include ShowAlternatives with a value of true.

For more information, see Alternative transcriptions.

vocabulary_name: Option<String>

The name of the custom vocabulary you want to use when processing your medical transcription job. Custom vocabulary names are case sensitive.

The language of the specified custom vocabulary must match the language code that you specify in your transcription request. If the languages do not match, the custom vocabulary isn't applied. There are no errors or warnings associated with a language mismatch. US English (en-US) is the only valid language for Amazon Transcribe Medical.

Implementations

impl MedicalTranscriptionSetting

pub fn show_speaker_labels(&self) -> Option<bool>

Enables speaker partitioning (diarization) in your transcription output. Speaker partitioning labels the speech from individual speakers in your media file.

If you enable ShowSpeakerLabels in your request, you must also include MaxSpeakerLabels.

For more information, see Partitioning speakers (diarization).

pub fn max_speaker_labels(&self) -> Option<i32>

Specify the maximum number of speakers you want to partition in your media.

Note that if your media contains more speakers than the specified number, multiple speakers are treated as a single speaker.

If you specify the MaxSpeakerLabels field, you must set the ShowSpeakerLabels field to true.

pub fn channel_identification(&self) -> Option<bool>

Enables channel identification in multi-channel audio.

Channel identification transcribes the audio on each channel independently, then appends the output for each channel into one transcript.

If you have multi-channel audio and do not enable channel identification, your audio is transcribed in a continuous manner and your transcript does not separate the speech by channel.

For more information, see Transcribing multi-channel audio.

pub fn show_alternatives(&self) -> Option<bool>

To include alternative transcriptions within your transcription output, include ShowAlternatives in your transcription request.

If you include ShowAlternatives, you must also include MaxAlternatives, which is the maximum number of alternative transcriptions you want Amazon Transcribe Medical to generate.

For more information, see Alternative transcriptions.

pub fn max_alternatives(&self) -> Option<i32>

Indicate the maximum number of alternative transcriptions you want Amazon Transcribe Medical to include in your transcript.

If you select a number greater than the number of alternative transcriptions generated by Amazon Transcribe Medical, only the actual number of alternative transcriptions are included.

If you include MaxAlternatives in your request, you must also include ShowAlternatives with a value of true.

For more information, see Alternative transcriptions.

pub fn vocabulary_name(&self) -> Option<&str>

The name of the custom vocabulary you want to use when processing your medical transcription job. Custom vocabulary names are case sensitive.

The language of the specified custom vocabulary must match the language code that you specify in your transcription request. If the languages do not match, the custom vocabulary isn't applied. There are no errors or warnings associated with a language mismatch. US English (en-US) is the only valid language for Amazon Transcribe Medical.

impl MedicalTranscriptionSetting

pub fn builder() -> MedicalTranscriptionSettingBuilder

Creates a new builder-style object to manufacture MedicalTranscriptionSetting.

Trait Implementations

impl Clone for MedicalTranscriptionSetting

fn clone(&self) -> MedicalTranscriptionSetting

Returns a copy of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for MedicalTranscriptionSetting

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl PartialEq for MedicalTranscriptionSetting

fn eq(&self, other: &MedicalTranscriptionSetting) -> bool

This method tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

This method tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl StructuralPartialEq for MedicalTranscriptionSetting