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Information fusion techniques in Audio-Visual Speech Recognition

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2 Author(s)
Karabalkan, H. ; Muhendislik ve Doga Bilimleri Fak., Sabanci Univ., Istanbul, Turkey ; Erdogan, H.

It is well known that human perception of speech relies both on audio and visual information. However, the physiology of information fusion process in humans is still indefinite which attracts scientists' attention to information fusion process for audio-visual speech recognition. In this work, a novel tandem hybrid approach is introduced for an efficient audio-visual speech recognition system and the performance of the proposed technique is experimentally compared with the widely used Multiple Stream Hidden Markov Model (MSHMM) approach.

Published in:

Signal Processing and Communications Applications Conference, 2009. SIU 2009. IEEE 17th

Date of Conference:

9-11 April 2009