Improving visual noise insensitivity in small vocabulary audio visual speech recognition applications
Lucey, Simon, Sridharan, S., & Chandran, Vinod (2001) Improving visual noise insensitivity in small vocabulary audio visual speech recognition applications. In International Symposium on Signal Processing and its Applications (6th : 2001 : Kuala Lumpur, Malaysia), IEEE, Kuala Lumpur, Malaysia, pp. 434-437.
Visual noise insensitivity is important to audio visual speech recognition (AVSR). Visual noise can take on a number of forms such as varying frame rate, occlusion, lighting or speaker variabilities. The use of a high dimensional secondary classifier on the word likelihood scores from both the audio and video modalities is investigated for the purposes of adaptive fusion. Preliminary results are presented demonstrating performance above the catastrophic fusion boundary for our confidence measure irrespective of the type of visual noise presented to it. Our experiments were restricted to small vocabulary applications.
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|Item Type:||Conference Paper|
|Keywords:||adaptive signal processing, audio signal processing, audio-visual systems, random noise, speech recognition, video signal processing, adaptive fusion, audio modality, audio visual speech recognition, catastrophic fusion boundary, high dimensional secondary classifier, small vocabulary, video modality, visual noise insensitivity improvement, word likelihood scores|
|Divisions:||Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering|
Past > Schools > School of Engineering Systems
|Copyright Owner:||Copyright 2001 IEEE|
|Copyright Statement:||2011 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.|
|Deposited On:||17 Oct 2011 08:41|
|Last Modified:||17 Oct 2011 08:41|
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