Repeatability of Commonly Used Speech and Language Features for Clinical Applications.

ABSTRACT:

Introduction

Changes in speech have the potential to provide important information on the diagnosis and progression of various neurological diseases. Many researchers have relied on open-source speech features to develop algorithms for measuring speech changes in clinical populations as they are convenient and easy to use. However, the repeatability of open-source features in the context of neurological diseases has not been studied.

Methods

We used a longitudinal sample of healthy controls, individuals with amyotrophic lateral sclerosis, and individuals with suspected frontotemporal dementia, and we evaluated the repeatability of acoustic and language features separately on these 3 data sets.

Results

Repeatability was evaluated using intraclass correlation (ICC) and

SUBMITTER: Stegmann GM 

PROVIDER: S-EPMC7772887 | biostudies-literature | 2020 Sep-Dec

REPOSITORIES: biostudies-literature