We come back on two criticisms addressed to the "Fuzzy-Logical Model of Perception" (FLMP): its assumed ability to fit any data, and the choice of a "fitting all" procedure rather than a "predicting AV from A and V" approach. We confirm the FLMP ability to fit random data in the "McGurk region", that is in all conditions including conflicting stimuli, thanks to the "0/0 trick". This is associated to a high instability of the rmse value in the optimal region. Then we introduce a Bayesian approach replacing fit by global likelihood. In this sounder framework, rmse instabilities decrease likelihood, hence the 0/0 trick is problematic for the FLMP. We conclude by indicating when the FLMP can be used in sound conditions: apart from the "McGurk" region.
Cite as: Schwartz, J.-L. (2003) Why the FLMP should not be applied to McGurk data ...or how to better compare models in the Bayesian framework. Proc. Auditory-Visual Speech Processing, 77-82
@inproceedings{schwartz03b_avsp,
author={Jean-Luc Schwartz},
title={{Why the FLMP should not be applied to McGurk data ...or how to better compare models in the Bayesian framework}},
year=2003,
booktitle={Proc. Auditory-Visual Speech Processing},
pages={77--82}
}