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Automatic Speech Recognition and Training for Severely Dysarthric Users of Assistive Technology: The STARDUST Project

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Title: Automatic Speech Recognition and Training for Severely Dysarthric Users of Assistive Technology: The STARDUST Project
Language: English
Authors: Parker, Mark, Cunningham, Stuart, Enderby, Pam
Source: Clinical Linguistics & Phonetics. Apr-May 2006 20(2-3):149-156.
Availability: Customer Services for Taylor & Francis Group Journals, 325 Chestnut Street, Suite 800, Philadelphia, PA 19106. Tel: 800-354-1420 (Toll Free); Fax: 215-625-8914.
Peer Reviewed: Y
Page Count: 8
Publication Date: 2006
Document Type: Journal Articles
Reports - Research
Descriptors: Assistive Technology, Articulation (Speech), Accessibility (for Disabled), Phonetics, Speech Impairments, Models, Feedback, Speech Therapy, Vocabulary Development, Computer Assisted Instruction, Physical Disabilities
ISSN: 0269-9206
Abstract: The STARDUST project developed robust computer speech recognizers for use by eight people with severe dysarthria and concomitant physical disability to access assistive technologies. Independent computer speech recognizers trained with normal speech are of limited functional use by those with severe dysarthria due to limited and inconsistent proximity to "normal" articulatory patterns. Severe dysarthric output may also be characterized by a small mass of distinguishable phonetic tokens making the acoustic differentiation of target words difficult. Speaker dependent computer speech recognition using Hidden Markov Models was achieved by the identification of robust phonetic elements within the individual speaker output patterns. A new system of speech training using computer generated visual and auditory feedback reduced the inconsistent production of key phonetic tokens over time.
Abstractor: Author
Number of References: 8
Entry Date: 2006
Access URL: https://taylorandfrancis.metapress.com/link.asp?target=contribution&id=Q5787437868613MX
Accession Number: EJ729285
Database: ERIC
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  Data: Automatic Speech Recognition and Training for Severely Dysarthric Users of Assistive Technology: The STARDUST Project
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  Data: <searchLink fieldCode="SO" term="%22Clinical+Linguistics+%26+Phonetics%22"><i>Clinical Linguistics & Phonetics</i></searchLink>. Apr-May 2006 20(2-3):149-156.
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  Data: The STARDUST project developed robust computer speech recognizers for use by eight people with severe dysarthria and concomitant physical disability to access assistive technologies. Independent computer speech recognizers trained with normal speech are of limited functional use by those with severe dysarthria due to limited and inconsistent proximity to "normal" articulatory patterns. Severe dysarthric output may also be characterized by a small mass of distinguishable phonetic tokens making the acoustic differentiation of target words difficult. Speaker dependent computer speech recognition using Hidden Markov Models was achieved by the identification of robust phonetic elements within the individual speaker output patterns. A new system of speech training using computer generated visual and auditory feedback reduced the inconsistent production of key phonetic tokens over time.
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        StartPage: 149
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      – SubjectFull: Assistive Technology
        Type: general
      – SubjectFull: Articulation (Speech)
        Type: general
      – SubjectFull: Accessibility (for Disabled)
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      – SubjectFull: Phonetics
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      – SubjectFull: Speech Impairments
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      – SubjectFull: Models
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      – SubjectFull: Feedback
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      – SubjectFull: Speech Therapy
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      – SubjectFull: Vocabulary Development
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      – SubjectFull: Computer Assisted Instruction
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      – SubjectFull: Physical Disabilities
        Type: general
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      – TitleFull: Automatic Speech Recognition and Training for Severely Dysarthric Users of Assistive Technology: The STARDUST Project
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            NameFull: Parker, Mark
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            NameFull: Cunningham, Stuart
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            NameFull: Enderby, Pam
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              Y: 2006
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