Related Experiment Videos
Lip-reading the BKB sentence lists: corrections for list and practice effects
J R Foster1, A Q Summerfield, D H Marshall
1MRC Institute of Hearing Research, University of Nottingham, UK.
British Journal of Audiology
|August 1, 1993
Summary
Lip-reading with synchronized acoustic pulses (LR&Lx) significantly improved sentence recognition compared to lip-reading alone (LR:alone). Performance enhanced with list exposure, and a logistic model can adjust for practice and list difficulty in speech perception studies.
Area of Science:
- Audiology
- Speech Perception
- Human Communication
Background:
- Assessing speech perception is crucial for understanding auditory and visual communication.
- Standardized sentence lists are vital tools for evaluating speech recognition abilities.
- Lip-reading accuracy can be influenced by various sensory and cognitive factors.
Purpose of the Study:
- To evaluate the impact of synchronized acoustic pulses on lip-reading performance.
- To quantify improvements in speech perception with practice and list exposure.
- To develop models for compensating practice effects and inter-list difficulty variations.
Main Methods:
- Two groups of 21 adults with normal hearing lip-read standard sentence lists.
- One group lip-read without sound (LR:alone), the other lip-read with synchronized acoustic pulses (LR&Lx).
- Performance was measured using loose (KW(L)) and tight (KW(T)) keyword scoring, analyzed with logistic regression.
Main Results:
- Lip-reading with acoustic pulses (LR&Lx) yielded significantly better performance than lip-reading alone (LR:alone).
- Speech perception scores improved linearly with the logarithm of list presentation order in both conditions.
- Higher initial scores correlated with greater improvement through experience with the lists.
Conclusions:
- Synchronized acoustic pulses enhance lip-reading effectiveness in speech perception.
- Practice effects and inter-list difficulty can be modeled and compensated for, improving assessment accuracy.
- The findings provide a framework for more precise evaluation of speech recognition abilities.