Lip detection for audio-visual speech recognition in-car environment

Navarathna, Rajitha, Lucey, Patrick J., Dean, David B., Fookes, Clinton B., & Sridharan, Sridha (2010) Lip detection for audio-visual speech recognition in-car environment. In Boashash, Boualem, Hamila, Ridha, Salleh, Sheikh Hussain Shaikh, & Bakar, syed Abd Rahman Abu (Eds.) Proceedings of 10th International Conference on Information Science, Signal Processing and their Applications, IEEE, Renaissance Hotel, Kuala Lumpur, pp. 598-601.

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Acoustically, car cabins are extremely noisy and as a consequence audio-only, in-car voice recognition systems perform poorly. As the visual modality is immune to acoustic noise, using the visual lip information from the driver is seen as a viable strategy in circumventing this problem by using audio visual automatic speech recognition (AVASR). However, implementing AVASR requires a system being able to accurately locate and track the drivers face and lip area in real-time. In this paper we present such an approach using the Viola-Jones algorithm. Using the AVICAR [1] in-car database, we show that the Viola- Jones approach is a suitable method of locating and tracking the driver’s lips despite the visual variability of illumination and head pose for audio-visual speech recognition system.

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12 citations in Scopus
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ID Code: 32879
Item Type: Conference Paper
Refereed: Yes
Keywords: AVASR, AVICAR Database, Viola-Jones Algorithm
DOI: 10.1109/ISSPA.2010.5605429
ISBN: 9781424471652
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Image Processing (080106)
Divisions: Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Past > Institutes > Information Security Institute
Copyright Owner: Copyright 2010 IEEE.
Copyright Statement: Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Deposited On: 24 Jun 2010 05:18
Last Modified: 21 Jun 2017 14:43

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