Automatic extraction of geometric lip features with application to multi-modal speaker identification

被引：6
|
作者：
Arsic, Ivana [1 ]
Vilagut, Roger [1 ]
Thiran, Jean-Philippe [1 ]
机构：
[1] Ecole Polytech Fed Lausanne, Signal Proc Inst, CH-1015 Lausanne, Switzerland
来源：
2006 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO - ICME 2006, VOLS 1-5, PROCEEDINGS | 2006年
基金：
瑞士国家科学基金会;
关键词：
D O I：
10.1109/ICME.2006.262594
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper we consider the problem of automatic extraction of the geometric lip features for the purposes of multi-modal speaker identification. The use of visual information from the mouth region can be of great importance for improving the speaker identification system performance in noisy conditions. We propose a novel method for automated lip features extraction that utilizes color space transformation and a fuzzy-based c-means clustering technique. Using the obtained visual cues closed-set audio-visual speaker identification experiments are performed on the CUAVE database, [1] showing promising results.
引用
收藏
页码：161 / +
页数：2
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