The performance of audio-based speech recognition systems degrades severely when there is a mismatch between training and usage environments due to background noise. This degradation is due to a loss of ability to extract and distinguishim portant information from audio features. One of the emerging techniques for dealing with this problem is the addition of visual features in a multimodal recognition system. This paper presents an affine-invariant, multimodal speech recognition system and focuses on the supplementary information that is available from video features. © Springer-Verlag 2001.
CITATION STYLE
Gurbuz, S., Patterson, E., Tufekci, Z., & Gowdy, J. N. (2001). Affine-invariant visual features contain supplementary information to enhance speech recognition. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2091 LNCS, pp. 175–181). Springer Verlag. https://doi.org/10.1007/3-540-45344-x_25
Mendeley helps you to discover research relevant for your work.