Characterizing Dysarthric Speech with Transfer Learning

Characterizing Dysarthric Speech with Transfer Learning

abstract: Speech is known to serve as an early indicator of neurological decline, particularly in motor diseases. There is significant interest in developing automated, objective signal analytics that detect clinically-relevant changes and in evaluating these algorithms against the existing gold-sta...

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Bibliographic Details
Other Authors: Saxon, Michael Stephen (Author)
Format: Dissertation
Language:English
Published: 2020
Subjects:
Computer engineering
deep learning
dysarthria
feature models
hypernasality
neurological disease
speech processing
Online Access:http://hdl.handle.net/2286/R.I.57266

Internet

http://hdl.handle.net/2286/R.I.57266

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