Publication Details
Towards Noise-Robust Speaker Recognition Using Probabilistic Linear Discriminant Analysis
LEI Yun, BURGET Lukáš, FERRER Luciana, GRACIARENA Martin and SCHEFFER Nicolas. Towards Noise-Robust Speaker Recognition Using Probabilistic Linear Discriminant Analysis. In: Proc. International Conference on Acoustics, Speech, and Signal P. Kyoto: IEEE Signal Processing Society, 2012, pp. 4253-4256. ISBN 978-1-4673-0044-5.
Czech title
Posun k rozpoznávání mluvčího robustnímu vůči šumu pomocí pravděpodobnostní lineární diskriminační analýzy
Type
conference paper
Language
english
Authors
Lei Yun (SRI)
Burget Lukáš, doc. Ing., Ph.D. (DCGM FIT BUT)
Ferrer Luciana (SRI)
Graciarena Martin (SRI)
Scheffer Nicolas (SRI)
Burget Lukáš, doc. Ing., Ph.D. (DCGM FIT BUT)
Ferrer Luciana (SRI)
Graciarena Martin (SRI)
Scheffer Nicolas (SRI)
URL
Keywords
Speaker Recognition, noise, robustness, i-vector, PLDA
Abstract
We show results on a newly designed noisy corpus for speaker recognition where real recordings of babble noise were added to original NIST SRE clean speech data.
Published
2012
Pages
4253-4256
Proceedings
Proc. International Conference on Acoustics, Speech, and Signal P
Conference
The 37th International Conference on Acoustics, Speech, and Signal Processing, Kyoto, JP
ISBN
978-1-4673-0044-5
Publisher
IEEE Signal Processing Society
Place
Kyoto, JP
DOI
BibTeX
@INPROCEEDINGS{FITPUB9996, author = "Yun Lei and Luk\'{a}\v{s} Burget and Luciana Ferrer and Martin Graciarena and Nicolas Scheffer", title = "Towards Noise-Robust Speaker Recognition Using Probabilistic Linear Discriminant Analysis", pages = "4253--4256", booktitle = "Proc. International Conference on Acoustics, Speech, and Signal P", year = 2012, location = "Kyoto, JP", publisher = "IEEE Signal Processing Society", ISBN = "978-1-4673-0044-5", doi = "10.1109/ICASSP.2012.6288858", language = "english", url = "https://www.fit.vut.cz/research/publication/9996" }