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Visual word recognition in two facial motion conditions: full-face versus lips-plus-mandible
1Department of Speech and Hearing Science, University of Illinois at Urbana-Champaign, USA.
Summary
Speechreaders can recognize spoken words from limited facial movements, and practice significantly improves visual speech recognition regardless of face visibility. This study explores visual speech perception in hearing loss.
Area of Science:
- Audiology
- Speech Science
- Visual Perception
Background:
- Visual speech information, or lipreading, aids auditory speech perception, especially for individuals with hearing loss.
- The extent of facial visual cues necessary for effective speechreading remains an area of investigation.
Purpose of the Study:
- To investigate the impact of reduced facial visual information on speechreading monosyllabic words.
- To compare speechreading performance between full-face and part-face (lips-plus-mandible) conditions.
- To examine the effect of repeated exposure on speechreading accuracy.
Main Methods:
- A new method developed video sequences with limited facial movement exposure.
- A repeated-measures design assessed visual recognition of 60 monosyllabic words in an open set.
- Normal-hearing students and adults with sensorineural hearing loss speechread video presentations under full-face and part-face conditions.
Main Results:
- Phoneme recognition scores were comparable between the full-face and part-face conditions.
- Speechreading scores significantly improved with repeated measures, irrespective of the facial exposure condition.
- Both normal-hearing and hearing-impaired participants demonstrated effective speechreading with limited facial cues.
Conclusions:
- Speechreaders can effectively recognize spoken words using only the lips-plus-mandible visual information.
- Practice effects significantly enhance speechreading performance, highlighting the role of familiarity and adaptation.
- These findings have implications for understanding visual speech perception and developing assistive listening technologies.