Struct aws_sdk_transcribestreaming::operation::start_medical_stream_transcription::StartMedicalStreamTranscriptionInput

#[non_exhaustive]
pub struct StartMedicalStreamTranscriptionInput {
    pub language_code: Option<LanguageCode>,
    pub media_sample_rate_hertz: Option<i32>,
    pub media_encoding: Option<MediaEncoding>,
    pub vocabulary_name: Option<String>,
    pub specialty: Option<Specialty>,
    pub type: Option<Type>,
    pub show_speaker_label: Option<bool>,
    pub session_id: Option<String>,
    pub audio_stream: EventStreamSender<AudioStream, AudioStreamError>,
    pub enable_channel_identification: Option<bool>,
    pub number_of_channels: Option<i32>,
    pub content_identification_type: Option<MedicalContentIdentificationType>,
}

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.

language_code: Option<LanguageCode>

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

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

media_sample_rate_hertz: 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.

media_encoding: 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.

vocabulary_name: 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.

specialty: Option<Specialty>

Specify the medical specialty contained in your audio.

type: 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.

show_speaker_label: 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).

session_id: 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.

audio_stream: 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.

enable_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 is not separated by channel.

For more information, see Transcribing multi-channel audio.

number_of_channels: Option<i32>

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

content_identification_type: 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.

Implementations

impl StartMedicalStreamTranscriptionInput

pub fn 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) -> 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) -> 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) -> Option<&str>

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) -> Option<&Specialty>

Specify the medical specialty contained in your audio.

pub fn 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) -> 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) -> Option<&str>

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) -> &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) -> 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) -> Option<i32>

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

pub fn 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.

impl StartMedicalStreamTranscriptionInput

pub fn builder() -> StartMedicalStreamTranscriptionInputBuilder

Creates a new builder-style object to manufacture StartMedicalStreamTranscriptionInput.

Trait Implementations

impl Debug for StartMedicalStreamTranscriptionInput

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

Formats the value using the given formatter.