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Audiovisual Speech Perception: Acoustic and Visual Phonetic Features Contributing to the McGurk Effect
| Content Provider | SAGE Publishing |
|---|---|
| Author | Tiippana, Kaisa Vainio, Martti Tiainen, Mikko |
| Copyright Year | 2011 |
| Abstract | In the best-known example of the McGurk effect, an auditory consonant /b/ that is presented with a face articulating /g/ is heard as a fusion /d/. However, sometimes this kind of stimulus is heard as /g/, ie, a visual-dominant percept. We explored the stimulus features giving rise to these percepts by using two different stimuli at various levels of acoustic noise. The stimulus auditory /apa/ presented with visual /aka/ was most often heard as /aka/ even without noise, and the proportion of visual-dominant percepts increased with noise level. The stimulus auditory/epe/ presented with visual /eke/ was heard mostly as a fusion /ete/, except at the highest noise level, where also /eke/ was heard. The differences in the quality of the McGurk effect were accounted for by the features of the unisensory stimuli. A phonetic analysis showed that the auditory and visual stimulus features were close to those of /t/ in the /e/-context, but not in the /a/-context stimuli. Thus, the type of the McGurk effect—fusion or visual dominance— depended on the quality of the constituent stimulus components, obeying a modality-precision rule: the more reliable the unisensory stimulus, the greater its contribution to the final percept. |
| Related Links | https://journals.sagepub.com/doi/pdf/10.1068/ic768?download=true |
| Starting Page | 768 |
| ISSN | 20416695 |
| Issue Number | 8 |
| Volume Number | 2 |
| Journal | i-Perception (IPE) |
| e-ISSN | 20416695 |
| DOI | 10.1068/ic768 |
| Language | English |
| Publisher | Sage Publications UK |
| Publisher Date | 2011-10-01 |
| Publisher Place | London |
| Access Restriction | Open |
| Rights Holder | © 2011 SAGE Publications |
| Content Type | Text |
| Resource Type | Article |
| Subject | Ophthalmology Experimental and Cognitive Psychology Artificial Intelligence Sensory Systems |