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Using EPG data to display articulatory separation for phoneme contrasts
1Department of Speech and Hearing Sciences, University College Cork, Cork, Ireland. f.gibbon@ucc.ie
Clinical Linguistics & Phonetics
|October 5, 2011
Summary
Electropalatography (EPG) data shows high variability between speakers. New graphing methods focusing on articulatory separation of speech sounds can help researchers and clinicians better understand tongue-palate contact patterns.
Area of Science:
- Speech-language pathology
- Linguistics
- Biomedical engineering
Background:
- Electropalatography (EPG) is crucial for studying tongue-palate contact.
- High inter-speaker variability in EPG data complicates analysis and defining normal patterns.
- Small participant numbers exacerbate difficulties in group comparisons and clinical applications.
Purpose of the Study:
- To present a novel method for graphing EPG data to reduce inter-speaker variability.
- To improve the identification of tongue-palate contact differences across speaker groups.
- To aid in defining 'normal' articulatory patterns for visual feedback therapy.
Main Methods:
- Graphing EPG data based on the articulatory separation of phoneme contrasts.
- Analyzing separation graphs for specific phoneme contrasts (/i/ - /u/, /s/ - /ʃ/, /t/ - /k/).
- Utilizing EPG data from adults and children with typical and disordered speech.
Main Results:
- The proposed graphing method partially reduces problems associated with inter-speaker variability in EPG data.
- Graphs highlight the significance of articulatory separation for phoneme contrasts.
- Demonstrated application across various phoneme contrasts and speaker populations.
Conclusions:
- Representing articulation data via separation graphs offers a valuable tool for clinical and research purposes.
- This method enhances the interpretation of EPG data, particularly for speech disorders.
- Integration with acoustic and perceptual analyses is recommended for comprehensive assessment.
