Automatic Method of Pause Measurement for Normal and Dysarthric Speech

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Bibliographic Details
Title: Automatic Method of Pause Measurement for Normal and Dysarthric Speech
Language: English
Authors: Rosen, Kristin, Murdoch, Bruce, Folker, Joanne, Vogel, Adam, Cahill, Louise, Delatycki, Martin, Corben, Louise
Source: Clinical Linguistics & Phonetics. Feb 2010 24(2):141-154.
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Peer Reviewed: Y
Page Count: 14
Publication Date: 2010
Document Type: Journal Articles
Reports - Research
Descriptors: Articulation Impairments, Neurological Impairments, Speech, Acoustics, Measurement, Identification, Adults, Foreign Countries
Geographic Terms: Australia
DOI: 10.3109/02699200903440983
ISSN: 0269-9206
Abstract: This study proposes an automatic method for the detection of pauses and identification of pause types in conversational speech for the purpose of measuring the effects of Friedreich's Ataxia (FRDA) on speech. Speech samples of [approximately] 3 minutes were recorded from 13 speakers with FRDA and 18 healthy controls. Pauses were measured from the intensity contour and fit with bimodal lognormal distributions using the Expectation-Maximization algorithm in Matlab[C]. In the speakers with FRDA, both modes in the pause distributions had significantly larger means, with disproportionately fewer pauses associated with the first mode. From this preliminary study, it is concluded that distributional analysis of pause duration holds promise as a useful method of measuring the effects of FRDA on functional speech. (Contains 3 figures, 2 tables and 4 notes.)
Abstractor: As Provided
Number of References: 48
Entry Date: 2012
Accession Number: EJ961931
Database: ERIC
Description
Abstract:This study proposes an automatic method for the detection of pauses and identification of pause types in conversational speech for the purpose of measuring the effects of Friedreich's Ataxia (FRDA) on speech. Speech samples of [approximately] 3 minutes were recorded from 13 speakers with FRDA and 18 healthy controls. Pauses were measured from the intensity contour and fit with bimodal lognormal distributions using the Expectation-Maximization algorithm in Matlab[C]. In the speakers with FRDA, both modes in the pause distributions had significantly larger means, with disproportionately fewer pauses associated with the first mode. From this preliminary study, it is concluded that distributional analysis of pause duration holds promise as a useful method of measuring the effects of FRDA on functional speech. (Contains 3 figures, 2 tables and 4 notes.)
ISSN:0269-9206
DOI:10.3109/02699200903440983