Skip to content

MedicalScribeSettings

Source code in docs_src/capo_transcribe/types/medical_scribe_settings.py
class MedicalScribeSettings(TypedDict, closed=True):
    show_speaker_labels: NotRequired["capo_transcribe.types.boolean.Boolean"]
    """<p>Enables speaker partitioning (diarization) in your Medical Scribe output. Speaker partitioning labels the speech from individual speakers in your media file.</p> <p>If you enable <code>ShowSpeakerLabels</code> in your request, you must also include <code>MaxSpeakerLabels</code>.</p> <p>For more information, see <a href="https://docs.aws.amazon.com/transcribe/latest/dg/diarization.html">Partitioning speakers (diarization)</a>.</p>"""
    max_speaker_labels: NotRequired["capo_transcribe.types.max_speakers.MaxSpeakers"]
    """<p>Specify the maximum number of speakers you want to partition in your media.</p> <p>Note that if your media contains more speakers than the specified number, multiple speakers are treated as a single speaker.</p> <p>If you specify the <code>MaxSpeakerLabels</code> field, you must set the <code>ShowSpeakerLabels</code> field to true.</p>"""
    channel_identification: NotRequired["capo_transcribe.types.boolean.Boolean"]
    """<p>Enables channel identification in multi-channel audio.</p> <p>Channel identification transcribes the audio on each channel independently, then appends the output for each channel into one transcript.</p> <p>For more information, see <a href="https://docs.aws.amazon.com/transcribe/latest/dg/channel-id.html">Transcribing multi-channel audio</a>.</p>"""
    vocabulary_name: NotRequired["capo_transcribe.types.vocabulary_name.VocabularyName"]
    """<p>The name of the custom vocabulary you want to include in your Medical Scribe request. Custom vocabulary names are case sensitive.</p>"""
    vocabulary_filter_name: NotRequired[
        "capo_transcribe.types.vocabulary_filter_name.VocabularyFilterName"
    ]
    """<p>The name of the custom vocabulary filter you want to include in your Medical Scribe request. Custom vocabulary filter names are case sensitive.</p> <p>Note that if you include <code>VocabularyFilterName</code> in your request, you must also include <code>VocabularyFilterMethod</code>.</p>"""
    vocabulary_filter_method: NotRequired[
        "capo_transcribe.types.vocabulary_filter_method.VocabularyFilterMethod"
    ]
    """<p>Specify how you want your custom vocabulary filter applied to your transcript.</p> <p>To replace words with <code>***</code>, choose <code>mask</code>.</p> <p>To delete words, choose <code>remove</code>.</p> <p>To flag words without changing them, choose <code>tag</code>.</p>"""
    clinical_note_generation_settings: NotRequired[
        "capo_transcribe.types.clinical_note_generation_settings.ClinicalNoteGenerationSettings"
    ]
    """<p>Specify settings for the clinical note generation.</p>"""

channel_identification instance-attribute

channel_identification: NotRequired[Boolean]

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.

For more information, see Transcribing multi-channel audio.

clinical_note_generation_settings instance-attribute

clinical_note_generation_settings: NotRequired[ClinicalNoteGenerationSettings]

Specify settings for the clinical note generation.

max_speaker_labels instance-attribute

max_speaker_labels: NotRequired[MaxSpeakers]

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.

show_speaker_labels instance-attribute

show_speaker_labels: NotRequired[Boolean]

Enables speaker partitioning (diarization) in your Medical Scribe 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).

vocabulary_filter_method instance-attribute

vocabulary_filter_method: NotRequired[VocabularyFilterMethod]

Specify how you want your custom vocabulary filter applied to your transcript.

To replace words with ***, choose mask.

To delete words, choose remove.

To flag words without changing them, choose tag.

vocabulary_filter_name instance-attribute

vocabulary_filter_name: NotRequired[VocabularyFilterName]

The name of the custom vocabulary filter you want to include in your Medical Scribe request. Custom vocabulary filter names are case sensitive.

Note that if you include VocabularyFilterName in your request, you must also include VocabularyFilterMethod.

vocabulary_name instance-attribute

vocabulary_name: NotRequired[VocabularyName]

The name of the custom vocabulary you want to include in your Medical Scribe request. Custom vocabulary names are case sensitive.