Improvements to harmonic model for extracting better speech features in clinical applications

Abstract

Acoustic properties of speech samples can provide important cues in the assessment of voice pathology and cognitive function. The goal of this study is to develop novel algorithms for robust and accurate estimation of speech features and employ them to build probabilistic speech models for characterizing and analyzing clinical speech. Toward this goal, we… (More)
DOI: 10.1016/j.csl.2017.08.005

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