Struct aws_sdk_transcribestreaming::operation::start_medical_stream_transcription::builders::StartMedicalStreamTranscriptionFluentBuilder

impl StartMedicalStreamTranscriptionFluentBuilder

pub fn as_input(&self) -> &StartMedicalStreamTranscriptionInputBuilder

Access the StartMedicalStreamTranscription as a reference.

pub async fn send( self, ) -> Result<StartMedicalStreamTranscriptionOutput, SdkError<StartMedicalStreamTranscriptionError, HttpResponse>>

Sends the request and returns the response.

If an error occurs, an SdkError will be returned with additional details that can be matched against.

By default, any retryable failures will be retried twice. Retry behavior is configurable with the RetryConfig, which can be set when configuring the client.

pub fn customize( self, ) -> CustomizableOperation<StartMedicalStreamTranscriptionOutput, StartMedicalStreamTranscriptionError, Self>

Consumes this builder, creating a customizable operation that can be modified before being sent.

pub fn language_code(self, input: LanguageCode) -> Self

Specify the language code that represents the language spoken in your audio.

Amazon Transcribe Medical only supports US English (en-US).

pub fn set_language_code(self, input: Option<LanguageCode>) -> Self

Specify the language code that represents the language spoken in your audio.

Amazon Transcribe Medical only supports US English (en-US).

pub fn get_language_code(&self) -> &Option<LanguageCode>

Specify the language code that represents the language spoken in your audio.

Amazon Transcribe Medical only supports US English (en-US).

pub fn media_sample_rate_hertz(self, input: i32) -> Self

The sample rate of the input audio (in hertz). Amazon Transcribe Medical supports a range from 16,000 Hz to 48,000 Hz. Note that the sample rate you specify must match that of your audio.

pub fn set_media_sample_rate_hertz(self, input: Option<i32>) -> Self

The sample rate of the input audio (in hertz). Amazon Transcribe Medical supports a range from 16,000 Hz to 48,000 Hz. Note that the sample rate you specify must match that of your audio.

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

The sample rate of the input audio (in hertz). Amazon Transcribe Medical supports a range from 16,000 Hz to 48,000 Hz. Note that the sample rate you specify must match that of your audio.

pub fn media_encoding(self, input: MediaEncoding) -> Self

Specify the encoding used for the input audio. Supported formats are:

FLAC
OPUS-encoded audio in an Ogg container
PCM (only signed 16-bit little-endian audio formats, which does not include WAV)

For more information, see Media formats.

pub fn set_media_encoding(self, input: Option<MediaEncoding>) -> Self

Specify the encoding used for the input audio. Supported formats are:

FLAC
OPUS-encoded audio in an Ogg container
PCM (only signed 16-bit little-endian audio formats, which does not include WAV)

For more information, see Media formats.

pub fn get_media_encoding(&self) -> &Option<MediaEncoding>

Specify the encoding used for the input audio. Supported formats are:

FLAC
OPUS-encoded audio in an Ogg container
PCM (only signed 16-bit little-endian audio formats, which does not include WAV)

For more information, see Media formats.

pub fn vocabulary_name(self, input: impl Into<String>) -> Self

Specify the name of the custom vocabulary that you want to use when processing your transcription. Note that vocabulary names are case sensitive.

pub fn set_vocabulary_name(self, input: Option<String>) -> Self

Specify the name of the custom vocabulary that you want to use when processing your transcription. Note that vocabulary names are case sensitive.

pub fn get_vocabulary_name(&self) -> &Option<String>

Specify the name of the custom vocabulary that you want to use when processing your transcription. Note that vocabulary names are case sensitive.

pub fn specialty(self, input: Specialty) -> Self

Specify the medical specialty contained in your audio.

pub fn set_specialty(self, input: Option<Specialty>) -> Self

Specify the medical specialty contained in your audio.

pub fn get_specialty(&self) -> &Option<Specialty>

Specify the medical specialty contained in your audio.

pub fn type(self, input: Type) -> Self

Specify the type of input audio. For example, choose DICTATION for a provider dictating patient notes and CONVERSATION for a dialogue between a patient and a medical professional.

pub fn set_type(self, input: Option<Type>) -> Self

Specify the type of input audio. For example, choose DICTATION for a provider dictating patient notes and CONVERSATION for a dialogue between a patient and a medical professional.

pub fn get_type(&self) -> &Option<Type>

Specify the type of input audio. For example, choose DICTATION for a provider dictating patient notes and CONVERSATION for a dialogue between a patient and a medical professional.

pub fn show_speaker_label(self, input: bool) -> Self

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

For more information, see Partitioning speakers (diarization).

pub fn set_show_speaker_label(self, input: Option<bool>) -> Self

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

For more information, see Partitioning speakers (diarization).

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

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

For more information, see Partitioning speakers (diarization).

pub fn session_id(self, input: impl Into<String>) -> Self

Specify a name for your transcription session. If you don't include this parameter in your request, Amazon Transcribe Medical generates an ID and returns it in the response.

You can use a session ID to retry a streaming session.

pub fn set_session_id(self, input: Option<String>) -> Self

Specify a name for your transcription session. If you don't include this parameter in your request, Amazon Transcribe Medical generates an ID and returns it in the response.

You can use a session ID to retry a streaming session.

pub fn get_session_id(&self) -> &Option<String>

Specify a name for your transcription session. If you don't include this parameter in your request, Amazon Transcribe Medical generates an ID and returns it in the response.

You can use a session ID to retry a streaming session.

pub fn audio_stream( self, input: EventStreamSender<AudioStream, AudioStreamError>, ) -> Self

An encoded stream of audio blobs. Audio streams are encoded as either HTTP/2 or WebSocket data frames.

For more information, see Transcribing streaming audio.

pub fn set_audio_stream( self, input: Option<EventStreamSender<AudioStream, AudioStreamError>>, ) -> Self

An encoded stream of audio blobs. Audio streams are encoded as either HTTP/2 or WebSocket data frames.

For more information, see Transcribing streaming audio.

pub fn get_audio_stream( &self, ) -> &Option<EventStreamSender<AudioStream, AudioStreamError>>

An encoded stream of audio blobs. Audio streams are encoded as either HTTP/2 or WebSocket data frames.

For more information, see Transcribing streaming audio.

pub fn enable_channel_identification(self, input: bool) -> Self

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 is not separated by channel.

For more information, see Transcribing multi-channel audio.

pub fn set_enable_channel_identification(self, input: Option<bool>) -> Self

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 is not separated by channel.

For more information, see Transcribing multi-channel audio.

pub fn get_enable_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 is not separated by channel.

For more information, see Transcribing multi-channel audio.

pub fn number_of_channels(self, input: i32) -> Self

Specify the number of channels in your audio stream. Up to two channels are supported.

pub fn set_number_of_channels(self, input: Option<i32>) -> Self

Specify the number of channels in your audio stream. Up to two channels are supported.

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

Specify the number of channels in your audio stream. Up to two channels are supported.

pub fn content_identification_type( self, input: MedicalContentIdentificationType, ) -> Self

Labels all personal health information (PHI) identified in your transcript.

Content identification is performed at the segment level; PHI is flagged upon complete transcription of an audio segment.

For more information, see Identifying personal health information (PHI) in a transcription.

pub fn set_content_identification_type( self, input: Option<MedicalContentIdentificationType>, ) -> Self

Labels all personal health information (PHI) identified in your transcript.

Content identification is performed at the segment level; PHI is flagged upon complete transcription of an audio segment.

For more information, see Identifying personal health information (PHI) in a transcription.

pub fn get_content_identification_type( &self, ) -> &Option<MedicalContentIdentificationType>

Labels all personal health information (PHI) identified in your transcript.

Content identification is performed at the segment level; PHI is flagged upon complete transcription of an audio segment.

For more information, see Identifying personal health information (PHI) in a transcription.

Trait Implementations§

impl Debug for StartMedicalStreamTranscriptionFluentBuilder

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

Formats the value using the given formatter. Read more

Auto Trait Implementations§

impl !UnwindSafe for StartMedicalStreamTranscriptionFluentBuilder

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