tailieunhanh - Báo cáo hóa học: " Research Article Audiovisual Speech Synchrony Measure: Application to Biometrics"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Audiovisual Speech Synchrony Measure: Application to Biometrics | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2007 Article ID 70186 11 pages doi 2007 70186 Research Article Audiovisual Speech Synchrony Measure Application to Biometrics Herve Bredin and Gerard Chollet Departement Traitement du Signal et de l Image Ecole Nationale Superieure des Telecommunications CNRS LTCI 46 rue Barrault 75013 Paris Cedex 13 France Received 18 August 2006 Accepted 18 March 2007 Recommended by Ebroul Izquierdo Speech is a means of communication which is intrinsically bimodal the audio signal originates from the dynamics of the articulators. This paper reviews recent works in the field of audiovisual speech and more specifically techniques developed to measure the level of correspondence between audio and visual speech. It overviews the most common audio and visual speech front-end processing transformations performed on audio visual or joint audiovisual feature spaces and the actual measure of correspondence between audio and visual speech. Finally the use of synchrony measure for biometric identity verification based on talking faces is experimented on the BANCA database. Copyright 2007 H. Bredin and G. Chollet. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. 1. INTRODUCTION Speech is a means of communication which is intrinsically bimodal the audio signal originates from the dynamics of the articulators. Both audible and visible speech cues carry relevant information. Though the first automatic speechbased recognition systems were only relying on its auditory part whether it is speech recognition or speaker verification it is well known that its visual counterpart can be a great help especially under adverse conditions 1 . In noisy environments for example audiovisual speech recognizers perform better than audio-only systems. Using .

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