Effective lip localization and tracking for achieving multimodal speech recognition

Wei Chuan Ooi, Changwon Jeon, Kihyeon Kim, Hanseok Ko, David K. Han

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

Effective fusion of acoustic and visual modalities in speech recognition has been an important issue in Human Computer Interfaces, warranting further improvements in intelligibility and robustness. Speaker lip motion stands out as the most linguistically relevant visual feature for speech recognition. In this paper, we present a new hybrid approach to improve lip localization and tracking, aimed at improving speech recognition in noisy environments. This hybrid approach begins with a new color space transformation for enhancing lip segmentation. In the color space transformation, a PCA method is employed to derive a new one dimensional color space which maximizes discrimination between lip and non-lip colors. Intensity information is also incorporated in the process to improve contrast of upper and corner lip segments. In the subsequent step, a constrained deformable lip model with high flexibility is constructed to accurately capture and track lip shapes. The model requires only six degrees of freedom, yet provides a precise description of lip shapes using a simple least square fitting method. Experimental results indicate that the proposed hybrid approach delivers reliable and accurate localization and tracking of lip motions under various measurement conditions.

Original languageEnglish
Title of host publicationMultisensor Fusion and Integration for Intelligent Systems
Subtitle of host publicationAn Edition of the Selected Papers from the IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems 2008
Pages33-43
Number of pages11
DOIs
Publication statusPublished - 2009
Event7th IEEE International Conference on Multi-Sensor Integration and Fusion, IEEE MFI 2008 - Seoul, Korea, Republic of
Duration: 2008 Aug 202008 Aug 22

Publication series

NameLecture Notes in Electrical Engineering
Volume35 LNEE
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Other

Other7th IEEE International Conference on Multi-Sensor Integration and Fusion, IEEE MFI 2008
CountryKorea, Republic of
CitySeoul
Period08/8/2008/8/22

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering

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  • Cite this

    Ooi, W. C., Jeon, C., Kim, K., Ko, H., & Han, D. K. (2009). Effective lip localization and tracking for achieving multimodal speech recognition. In Multisensor Fusion and Integration for Intelligent Systems: An Edition of the Selected Papers from the IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems 2008 (pp. 33-43). (Lecture Notes in Electrical Engineering; Vol. 35 LNEE). https://doi.org/10.1007/978-3-540-89859-7_3