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DESCRIPTION (provided by applicant): Autistic Spectrum Disorders (ASD) form a group of neuropsychiatric conditions whose core behavioral features include impairments in reciprocal social interaction, in communication, and repetitive, stereotyped, or restricted interests and behaviors. The importance of prosodic deficits in the adaptive communicative competence of speakers with ASD, as well as for a fuller understanding of the social disabilities central to these disorders is generally recognized; yet current studies are few in number and have significant methodological limitations. The objective of the proposed project is to detail prosodic deficits in young speakers with ASD through a series of experiments that address these disabilities and related areas of function. Key features of the project include: 1) the application of innovative technology. The study will apply computer-based speech and language technologies for quantifying expressive prosody, for computing dialogue structure, and for generating acoustically controlled speech stimuli for measuring receptive prosody; moreover, all experiments will be delivered via computer to insure consistency of stimuli and accuracy of recording responses; 2) broad coverage of the dimensions of prosody. All three functions of prosody, grammatical, pragmatic, and affective, will be addressed; expressive and receptive tasks are included; and both contextualized tasks (dialogue, story comprehension and memory) and decontextualized tasks (e.g., vocal affect recognition) will be used; 3) inclusion of neuropsychological assessment and classification methodologies to address within-group heterogeneity and obtain a detailed characterization of the groups; 4) inclusion of two comparison groups: children with typical development and those with Developmental Language Disorder; 5) inclusion of an experimental treatment program to enhance the prosodic abilities of speakers with ASD.
期刊论文(13)
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会议论文
Automated morphological analysis of clinical language samples.
临床语言样本的自动形态分析。
DOI: --
发表时间: 2015
期刊: Proceedings of the conference. Association for Computational Linguistics. North American Chapter. Meeting
影响因子: --
作者: [Gorman,Kyle, Bedrick,Steven, Kiss,Géza, Morley,Eric, Ingham,Rosemary, Mohammad,Metrah, Papadakis,Katina, vanSanten,JanPH]
通讯作者: vanSanten,JanPH
DOI: 10.1016/j.specom.2009.04.007
发表时间: 2009-11-01
期刊: SPEECH COMMUNICATION
影响因子: 3.2
作者: [van Santen, Jan P. H., Prud'hommeaux, Emily Tucker, Black, Lois M.]
通讯作者: Black, Lois M.
Computational prosodic markers for autism.
自闭症的计算韵律标记。
DOI: 10.1177/1362361309363281
发表时间: 2010
期刊: Autism : the international journal of research and practice
影响因子: --
作者: [VanSanten,JanPH, Prud'hommeaux,EmilyTucker, Black,LoisM, Mitchell,Margaret]
通讯作者: Mitchell,Margaret
DOI: 10.1109/slt.2014.7078585
发表时间: 2014
期刊: SLT ... : ... IEEE Workshop on Spoken Language Technology : proceedings. IEEE Workshop on Spoken Language Technology
影响因子: --
作者: [Prud'hommeaux,Emily, Morley,Eric, Rouhizadeh,Masoud, Silverman,Laura, vanSanten,Jan, Roark,Brian, Sproat,Richard, Kauper,Sarah, DeLaHunta,Rachel]
通讯作者: DeLaHunta,Rachel
11
    Automatic Voice-Based Assessment of Language Abilities
    Computational characterization of language use in autism spectrum disorder
    Computational characterization of language use in autism spectrum disorder
    Computational characterization of language use in autism spectrum disorder
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