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Detail publikačního výsledku
CUMANI, S.; BRÜMMER, N.; BURGET, L.; LAFACE, P.
Original Title
Fast Discriminative Speaker Verification in the I-Vector Space
English Title
Type
Paper in proceedings outside WoS and Scopus
Original Abstract
A fast discriminative training approach for speaker verification based on i-vectors has been presented. On NIST telephone evaluation data, the resulting models perform better, without the need for normalization techniques, than the generative ones, even compared with heavy-tailed models.
English abstract
Keywords
Discriminative Training,Two-covariance Kernel, Support Vector Machines, i-vectors
Key words in English
Authors
RIV year
2012
Released
22.05.2011
Publisher
IEEE Signal Processing Society
Location
Praha
ISBN
978-1-4577-0537-3
Book
Proceedings of the 2011 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011
Pages from
4852
Pages to
4855
Pages count
4
URL
http://www.fit.vutbr.cz/research/groups/speech/publi/2011/cumani_icassp2011_4852.pdf
Full text in the Digital Library
http://hdl.handle.net/
BibTex
@inproceedings{BUT76385, author="Sandro {Cumani} and Niko {Brümmer} and Lukáš {Burget} and Pietro {Laface}", title="Fast Discriminative Speaker Verification in the I-Vector Space", booktitle="Proceedings of the 2011 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011", year="2011", pages="4852--4855", publisher="IEEE Signal Processing Society", address="Praha", isbn="978-1-4577-0537-3", url="http://www.fit.vutbr.cz/research/groups/speech/publi/2011/cumani_icassp2011_4852.pdf" }