A computer-aided articulation learning system for subjects with articulation disorders. Issue 7 (3rd October 2016)
- Record Type:
- Journal Article
- Title:
- A computer-aided articulation learning system for subjects with articulation disorders. Issue 7 (3rd October 2016)
- Main Title:
- A computer-aided articulation learning system for subjects with articulation disorders
- Authors:
- Chen, Yeou-Jiunn
Wu, Jiunn-Liang - Abstract:
- Abstract : Purpose: Articulation errors substantially reduce speech intelligibility and the ease of spoken communication. Moreover, the articulation learning process that speech-language pathologists must provide is time consuming and expensive. The purpose of this paper, to facilitate the articulation learning process, is to develop a computer-aided articulation learning system to help subjects with articulation disorders. Design/methodology/approach: Facial animations, including lip and tongue animations, are used to convey the manner and place of articulation to the subject. This process improves the effectiveness of articulation learning. An interactive learning system is implemented through pronunciation confusion networks (PCNs) and automatic speech recognition (ASR), which are applied to identify mispronunciations. Findings: Speech and facial animations are effective for assisting subjects in imitating sounds and developing articulatory ability. PCNs and ASR can be used to automatically identify mispronunciations. Research limitations/implications: Future research will evaluate the clinical performance of this approach to articulation learning. Practical implications: The experimental results of this study indicate that it is feasible for clinically implementing a computer-aided articulation learning system in learning articulation. Originality/value: This study developed a computer-aided articulation learning system to facilitate improving speech production abilityAbstract : Purpose: Articulation errors substantially reduce speech intelligibility and the ease of spoken communication. Moreover, the articulation learning process that speech-language pathologists must provide is time consuming and expensive. The purpose of this paper, to facilitate the articulation learning process, is to develop a computer-aided articulation learning system to help subjects with articulation disorders. Design/methodology/approach: Facial animations, including lip and tongue animations, are used to convey the manner and place of articulation to the subject. This process improves the effectiveness of articulation learning. An interactive learning system is implemented through pronunciation confusion networks (PCNs) and automatic speech recognition (ASR), which are applied to identify mispronunciations. Findings: Speech and facial animations are effective for assisting subjects in imitating sounds and developing articulatory ability. PCNs and ASR can be used to automatically identify mispronunciations. Research limitations/implications: Future research will evaluate the clinical performance of this approach to articulation learning. Practical implications: The experimental results of this study indicate that it is feasible for clinically implementing a computer-aided articulation learning system in learning articulation. Originality/value: This study developed a computer-aided articulation learning system to facilitate improving speech production ability in subjects with articulation disorders. … (more)
- Is Part Of:
- Engineering computations. Volume 33:Issue 7(2016)
- Journal:
- Engineering computations
- Issue:
- Volume 33:Issue 7(2016)
- Issue Display:
- Volume 33, Issue 7 (2016)
- Year:
- 2016
- Volume:
- 33
- Issue:
- 7
- Issue Sort Value:
- 2016-0033-0007-0000
- Page Start:
- 2185
- Page End:
- 2197
- Publication Date:
- 2016-10-03
- Subjects:
- Articulation disorder -- Articulation learning -- Automatic speech recognition -- Facial animation
Computer-aided engineering -- Periodicals
Computer graphics -- Periodicals
620.00285 - Journal URLs:
- http://info.emeraldinsight.com/products/journals/journals.htm?id=ec ↗
http://www.emeraldinsight.com/journals.htm?issn=0264-4401 ↗
http://www.emeraldinsight.com/0264-4401.htm ↗
http://www.emeraldinsight.com/ ↗
http://firstsearch.oclc.org ↗ - DOI:
- 10.1108/EC-08-2015-0235 ↗
- Languages:
- English
- ISSNs:
- 0264-4401
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3758.580800
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 2656.xml