Görsel–işitsel konuşma tanıma’da veri kaynaştırma teknikleri (Information fusion techniques in audio-visual speech recognition)

Karabalkan, Harun and Erdoğan, Hakan (2009) Görsel–işitsel konuşma tanıma’da veri kaynaştırma teknikleri (Information fusion techniques in audio-visual speech recognition). In: IEEE 17th Signal Processing and Communications Applications Conference, 2009 (SIU 2009), Antalya, Türkiye

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Abstract

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.
Item Type: Papers in Conference Proceedings
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101-6720 Telecommunication
Divisions: Faculty of Engineering and Natural Sciences > Academic programs > Computer Science & Eng.
Faculty of Engineering and Natural Sciences > Academic programs > Electronics
Depositing User: Hakan Erdoğan
Date Deposited: 18 Nov 2009 17:22
Last Modified: 26 Apr 2022 08:52
URI: https://research.sabanciuniv.edu/id/eprint/12745

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