DocumentCode :
875529
Title :
Application of fusion techniques to speaker authentication over IP networks
Author :
Rodríguez-Liñares, L. ; García-Mateo, C.
Author_Institution :
Univ. de Vigo, Ourense, Spain
Volume :
150
Issue :
6
fYear :
2003
Firstpage :
377
Lastpage :
382
Abstract :
The authors explore the benefits of using fusion techniques for combining the outputs of different speaker authentication systems in a particular scenario which corresponds to simulated IP networks. IP networks are characterised by packet losses. Two approaches for IP network modelling are compared: a two-state Gilbert model and a bottleneck network simulation. The aim is to investigate the effect of isolated packet losses against bursts of losses. The authentication systems considered are speaker verification (accepting or rejecting the claimed identity of a speaker by processing samples of his/her voice) and utterance verification (using a set of speaker-independent speech models to recognise a certain utterance). Both systems are embedded in a client/server architecture. Results show the speaker verifier is less affected by packet losses than the utterance verifier. While the former behaves similarly under both IP models, the latter shows more sensitivity to bursts of losses. In any IP model, fusion techniques improve the robustness of the combined authentication system and yield a balanced working point.
Keywords :
IP networks; Internet telephony; authorisation; client-server systems; message authentication; speaker recognition; speech recognition; IP networks; Internet-based speech services; bottleneck network; client/server architecture; embedded systems; fusion techniques; isolated packet losses; packet loss bursts; packet losses; speaker authentication; speaker verification; speaker-independent speech models; two-state Gilbert model; utterance verification;
fLanguage :
English
Journal_Title :
Vision, Image and Signal Processing, IEE Proceedings -
Publisher :
iet
ISSN :
1350-245X
Type :
jour
DOI :
10.1049/ip-vis:20031034
Filename :
1263274
Link To Document :
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