Paper Info
Title
Audio-Visual Person Authentication with Multiple Visualized-Speech Features and Multiple Face Profiles
Abstract
We present an Audio-visual person authentication system which extracts several novel “Visualized-Speech-Features” (VSF) from the spoken-password and multiple face profiles using a simple user-interface and combine these features to deliver high performance and resilience against imposter attacks. The spoken password is converted to a string of images formed by several visualized speech features. A compressed form of these VSFs preserves speaker identity in a compact manner. Simulation results on an in-house 210-user AV-user-ID database collected with wide variations of users in real-life office environments demonstrate separable distributions of client and imposter scores (0% EER), while offering low storage and computational complexities compared to conventional AV user-recognition methods.
Year
DOI
Venue
2008
10.1109/ICVGIP.2008.106
ICVGIP
Keywords
DocType
Citations 
conventional av user-recognition method,multiple visualized-speech features,multiple face profiles,multiple face profile,audio-visual person authentication,imposter attack,audio-visual person authentication system,high performance,imposter score,210-user av-user-id database,low storage,computational complexity,compact manner,face recognition,feature extraction,user interface,spectrogram,user interfaces,speaker recognition,speech,image segmentation,computational fluid dynamics,face,authentication
Conference
0
PageRank 
References 
Authors
0.34
12
3
Name
Order
Citations
PageRank
Amitava Das119842.49
Ohil K. Manyam2383.87
Makarand Tapaswi323913.42