Task: Add models/pipelines to extract Fluency & Rhythm metrics - Githubissues

sensein / senselab

senselab is a Python package that simplifies building pipelines for biometric (e.g. speech, voice, video, etc) analysis.

http://sensein.group/senselab/

Apache License 2.0

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Task: Add models/pipelines to extract Fluency & Rhythm metrics #157

Open 900miles opened 2 months ago

900miles commented 2 months ago

Description

This is for the Automating the MSE project.

Clinical Observation	Observation Sub-Components	Potential Features + Approaches
Articulation	Repetitive language	Word Repetiton, Phrase Repetion
	Vocabulary (expressive)	Type-Tokes Ratio, Propositional Idea Density, Honore’s Statistic
	Slurring
	Mumbling
	Stuttering	Energy velocity, Maximum phonation time, Blocks, Jitter, Shimmer, Tremor, Word Repetition, Phrase Repetition, Phoneme Prolongation, Utterance Interjection
		Maximum phonation time, Blocks, Jitter, Shimmer, Tremor, Word Repetition, Phrase Repetition, Phoneme Prolongation, Utterance Interjection
Appropriate Inflections	Semantic Concordance	(see Inflection & Intonation), Semantic analysis
Fluency	Word Finding	Pauses, Frequency of Searching Utternaces (e.g., um, uh)

Tasks

See above

Freeform Notes

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fabiocat93 commented 1 week ago

@900miles can you please move this discussion to the issue https://github.com/orgs/sensein/projects/45/views/4?pane=issue&itemId=87451216&issue=sensein%7Csenselab%7C193 and keep working from the linked branch?