کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
563106 875471 2013 19 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Quantification of speech disfluency as a marker of medication-induced cognitive impairment: An application of computerized speech analysis in neuropharmacology
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر پردازش سیگنال
پیش نمایش صفحه اول مقاله
Quantification of speech disfluency as a marker of medication-induced cognitive impairment: An application of computerized speech analysis in neuropharmacology
چکیده انگلیسی

We present the results of a study investigating the use of speech and language characteristics extracted from spontaneous spoken discourse to assess changes in cognitive function. Specifically, we investigated the use of automatic speech recognition technology to characterize spontaneous speech disfluency induced by topiramate, an anti-epileptic medication with language-related side-effects. We audio recorded spontaneous speech samples from 20 participants during several picture description tasks and analyzed the recordings automatically and manually to extract a range of spoken fluency measurements including speech discontinuities (e.g., filled pauses, false starts, and repetitions), silent pause duration, speaking rate and vowel lengthening. Our results indicate that some of these paralinguistic speech characteristics are (a) sensitive to the effects of topiramate, (b) are associated with topiramate concentrations in the blood, and (c) complement standard neuropsychological tests typically used to investigate cognitive effects of medications. This work demonstrates the use of computational linguistic tools to assess cognitive effects in a more sensitive, objective, and reproducible manner than is currently available with standard tests.


► Our study defines a novel niche for using automatic speech and language processing in neuropharmachology.
► Spontaneous speech dysfluency is a sensitive measure of cognitive effects of an anti-epileptic medication (topiramate).
► Fully automated quantification of pause duration and vowel lengthening are associated with cognitive effects of topiramate and manual assessments.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computer Speech & Language - Volume 27, Issue 1, January 2013, Pages 116–134
نویسندگان
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