Abstract | ||
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Even if the speaker recognition field is very dynamic, few studies concern the constraints linked to the use of a speaker recognition system inside a professional telecommunication network. This paper deals with this problem and proposes some adaptation of such system in the focus of a real world network monitoring application. This work is specifically dedicated to the front-end. Both real-time constraints and distributed architectures are investigated. The signal acquisition takes place on a mobile terminal, while the speaker verification process is performed on a remote server. We propose a frame-by-frame on-line processing for feature extraction, frame selection and normalization. The links between the network speech coder and the speaker recognition system are also investigated, for both the ETSI TETRA speech codec (at 4600 bit/sec) and the NATO STANAG 4591 (at 2400 bit/sec). The proposed solutions are compared with a classical unconstrained front-end (off-line processing). |
Year | Venue | Keywords |
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2008 | Lausanne | feature extraction,mobile computing,professional communication,signal detection,speaker recognition,speech codecs,speech coding,vocoders,etsi tetra speech codec,nato stanag 4591,application constrained front end,distributed architectures,frame selection,frame-by-frame online processing,mobile terminal,network speech coder,normalization,professional telecommunication network,real world network monitoring application,remote server,signal acquisition,speaker recognition system,speaker verification process |
Field | DocType | ISSN |
Front and back ends,Speech processing,Speech coding,Voice activity detection,Computer science,Feature extraction,Real-time computing,Speech recognition,Speaker recognition,Speaker diarisation,Network monitoring | Conference | 2219-5491 |
Citations | PageRank | References |
5 | 0.60 | 7 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Alexandre Preti | 1 | 41 | 2.47 |
Bertrand Ravera | 2 | 5 | 0.60 |
François Capman | 3 | 5 | 0.60 |
Jean-François Bonastre | 4 | 64 | 10.60 |