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Feature selection for pose invariant lip biometrics

Feature selection for pose invariant lip biometrics

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Original languageEnglish
Title of host publication11th Annual Conference of the International Speech Communication Association 2010 (INTERSPEECH 2010)
Subtitle of host publicationProceedings
PublisherInternational Speech Communication Association
Pages1165-1168
Number of pages4
Volume2
ISBN (Print)9781617821233
StatePublished - 2010
Event11th Annual Conference of the International Speech Communication Association: Spoken Language Processing for All - Makuhari, Chiba, Japan

Conference

Conference11th Annual Conference of the International Speech Communication Association: Spoken Language Processing for All
Abbreviated titleINTERSPEECH 2010
CountryJapan
CityMakuhari, Chiba
Period26/09/1030/09/10
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Abstract

For the first time in this paper we present results showing the effect of out of plane speaker head pose variation on a lip based speaker verification system. Using appearance DCT based features, we adopt a Mutual Information analysis technique to highlight the class discriminant DCT components most robust to changes in out of plane pose. Experiments are conducted using the initial phase of a new multi view Audio-Visual database designed for research and development of pose-invariant speech and speaker recognition. We show that verification performance can be improved by substituting higher order horizontal DCT components for vertical, particularly in the case of a train/test pose angle mismatch. We further show that the best performance can be achieved by combining this alternative feature selection with multi view training, reporting a relative 45% Equal Error Rate reduction over a common energy based selection. © 2010 ISCA.

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