Bayesian changepoint detection for the automatic assessment of fluency and articulatory disorders

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11110%2F13%3A10192812" target="_blank" >RIV/00216208:11110/13:10192812 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/68407700:21230/13:00201945 RIV/00064165:_____/13:10192812

Výsledek na webu

<a href="http://dx.doi.org/10.1016/j.specom.2012.08.003" target="_blank" >http://dx.doi.org/10.1016/j.specom.2012.08.003</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.specom.2012.08.003" target="_blank" >10.1016/j.specom.2012.08.003</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Bayesian changepoint detection for the automatic assessment of fluency and articulatory disorders

Popis výsledku v původním jazyce

The accurate changepoint detection of different signal segments is a frequent challenge in a wide range of applications. With regard to speech utterances, the changepoints are related to significant spectral changes, mostly represented by the borders between two phonemes. The main aim of this study is to design a novel Bayesian autoregressive changepoint detector (BACD) and test its feasibility in the evaluation of fluency and articulatory disorders. The originality of the proposed method consists in its normalizing of a posteriori probability using Bayesian evidence and designing a recursive algorithm for reliable practice. For further evaluation of the BACD, we used data from (a) 118 people with various severity of stuttering to assess the extent ofspeech disfluency using a short reading passage, and (b) 24 patients with early Parkinson's disease and 22 healthy speakers for evaluation of articulation accuracy using fast syllable repetition. Subsequently, we designed two measures for

Název v anglickém jazyce

Bayesian changepoint detection for the automatic assessment of fluency and articulatory disorders

Popis výsledku anglicky

The accurate changepoint detection of different signal segments is a frequent challenge in a wide range of applications. With regard to speech utterances, the changepoints are related to significant spectral changes, mostly represented by the borders between two phonemes. The main aim of this study is to design a novel Bayesian autoregressive changepoint detector (BACD) and test its feasibility in the evaluation of fluency and articulatory disorders. The originality of the proposed method consists in its normalizing of a posteriori probability using Bayesian evidence and designing a recursive algorithm for reliable practice. For further evaluation of the BACD, we used data from (a) 118 people with various severity of stuttering to assess the extent ofspeech disfluency using a short reading passage, and (b) 24 patients with early Parkinson's disease and 22 healthy speakers for evaluation of articulation accuracy using fast syllable repetition. Subsequently, we designed two measures for

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

JA - Elektronika a optoelektronika, elektrotechnika

OECD FORD obor

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Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2013

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Speech Communication

ISSN

0167-6393

e-ISSN

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Svazek periodika

55

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

NL - Nizozemsko

Počet stran výsledku

12

Strana od-do

178-189

Kód UT WoS článku

000312422900014

EID výsledku v databázi Scopus

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