Publication Details
Convolutive Bottleneck Network Features for LVCSR
VESELÝ Karel, KARAFIÁT Martin and GRÉZL František. Convolutive Bottleneck Network Features for LVCSR. In: Proceedings of ASRU 2011. Big Island, Hawaii: IEEE Signal Processing Society, 2011, pp. 42-47. ISBN 978-1-4673-0366-8.
Czech title
Příznaky z konvoluční sítě s úzkým hrdlem pro LVCSR
Type
conference paper
Language
english
Authors
Veselý Karel, Ing., Ph.D. (DCGM FIT BUT)
Karafiát Martin, Ing., Ph.D. (DCGM FIT BUT)
Grézl František, Ing., Ph.D. (DCGM FIT BUT)
Karafiát Martin, Ing., Ph.D. (DCGM FIT BUT)
Grézl František, Ing., Ph.D. (DCGM FIT BUT)
URL
Keywords
Bottleneck features, Tandem LVCSR system, linear bottleneck, Convolutional Bottleneck Network
Abstract
Workshop Article about novel features for tandem LVCSR system, which are based on Convolutive Bottleneck Network. It extends the previous work on Universal Context network by using linear bottleneck and expansion to Convolutive Bottleneck Network,
so all the parameters are trained together.
Published
2011
Pages
42-47
Proceedings
Proceedings of ASRU 2011
Conference
IEEE 2011 Workshop on Automatic Speech Recognition and Understanding, Hilton Waikoloa Village Resort, Big Island, Hawaii, US
ISBN
978-1-4673-0366-8
Publisher
IEEE Signal Processing Society
Place
Big Island, Hawaii, US
BibTeX
@INPROCEEDINGS{FITPUB9763, author = "Karel Vesel\'{y} and Martin Karafi\'{a}t and Franti\v{s}ek Gr\'{e}zl", title = "Convolutive Bottleneck Network Features for LVCSR", pages = "42--47", booktitle = "Proceedings of ASRU 2011", year = 2011, location = "Big Island, Hawaii, US", publisher = "IEEE Signal Processing Society", ISBN = "978-1-4673-0366-8", language = "english", url = "https://www.fit.vut.cz/research/publication/9763" }