Quantitative analysis of pitch in speech of children with neurodevelopmental disorders

Géza Kiss, Jan P.H. Van Santen, Emily Prud'Hommeaux, Lois M. Black

Research output: Chapter in Book/Report/Conference proceedingConference contribution

13 Scopus citations

Abstract

We analyzed the prosody of children with Autism Spectrum Disorder, Developmental Language Disorder, and typical development in conversational speech, using the CSLU ADOS speech corpus. We found several significant differences in the pitch characteristics of these diagnostic groups, and report automatic classification utilizing these features that are well above chance level. We show that the choice of pitch tracker, its parameters, and the pitch correction method can substantially affect the results, thus the scientific relevance of studies on prosody, and may be one of the reasons for conflicting findings.

Original languageEnglish (US)
Title of host publication13th Annual Conference of the International Speech Communication Association 2012, INTERSPEECH 2012
Pages1342-1345
Number of pages4
StatePublished - Dec 1 2012
Event13th Annual Conference of the International Speech Communication Association 2012, INTERSPEECH 2012 - Portland, OR, United States
Duration: Sep 9 2012Sep 13 2012

Publication series

Name13th Annual Conference of the International Speech Communication Association 2012, INTERSPEECH 2012
Volume2

Other

Other13th Annual Conference of the International Speech Communication Association 2012, INTERSPEECH 2012
CountryUnited States
CityPortland, OR
Period9/9/129/13/12

Keywords

  • ALI
  • ALN
  • ASD
  • Autism
  • DLD
  • Disorder
  • F0
  • HFA
  • Language impairment
  • Pitch
  • Prosody
  • SLI

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Communication

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