ANALYSIS OF MULTIMODAL FUSION TECHNIQUES FOR AUDIO-VISUAL SPEECH RECOGNITION

ANALYSIS OF MULTIMODAL FUSION TECHNIQUES FOR AUDIO-VISUAL SPEECH RECOGNITION

The paper deals with analytical review, covering the latest achievements in the field of audio-visual (AV) fusion (integration) of multimodal information. We discuss the main challenges and report on approaches to address them. One of the most important tasks of the AV integration is to understand h...

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Bibliographic Details
Main Authors: D.V. Ivanko, I. S. Kipyatkova, A. L. Ronzhin, A. A. Karpov
Format: Article
Language:English
Published: Saint Petersburg National Research University of Information Technologies, Mechanics and Optics (ITMO University) 2016-05-01
Series:Naučno-tehničeskij Vestnik Informacionnyh Tehnologij, Mehaniki i Optiki
Subjects:
audio-visual integration
audio-visual speech recognition
multimodal analysis
multimodal fusion
deep learning
Online Access:http://ntv.ifmo.ru/file/article/15494.pdf

Internet

http://ntv.ifmo.ru/file/article/15494.pdf

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