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Citation

Jan Zelinka and Jan Vaněk and Luděk Müller : Neural-Network-based Spectrum Processing for Speech Recognition and Speaker Verification . Statistical Language and Speech Processing, Third International Conference, SLSP 2015, p. 288-299, Springer, 2015.

Abstract

In this paper, neural networks are applied as a feature extractors for a speech recognition system and a speaker verification system. A long-temporal features with delta coefficients, mean and variance normalization are applied when a neural-network-based feature extraction is trained together with a neural-network-based voice activity detector and with a neural-network-based acoustic model for speech recognition. In speaker verification, the acoustic model is replaced with a score computation. The performance of our speech recognition system was evaluated on the British English speech corpus WSJCAM0 and the performance of our speech verification system was evaluated on our Czech speech corpus.

Detail of publication

Title: Neural-Network-based Spectrum Processing for Speech Recognition and Speaker Verification
Author: Jan Zelinka ; Jan Vaněk ; Luděk Müller
Language: English
Year: 2015
Type of publication: Papers in proceedings of reviewed conferences
Title of journal or book: Statistical Language and Speech Processing, Third International Conference, SLSP 2015
Page: 288 - 299
ISBN: 978-3-319-25788-4
ISSN: 0302-9743
Publisher: Springer
/ 2019-11-18 12:50:43 /

BibTeX

@MISC{JanZelinka_2015_Neural-Network-based,
 author = {Jan Zelinka and Jan Van\v{e}k and Lud\v{e}k M\"{u}ller},
 title = {Neural-Network-based Spectrum Processing for Speech Recognition and Speaker Verification},
 year = {2015},
 publisher = {Springer},
 journal = {Statistical Language and Speech Processing, Third International Conference, SLSP 2015},
 pages = {288-299},
 ISBN = {978-3-319-25788-4},
 ISSN = {0302-9743},
 url = {http://www.kky.zcu.cz/en/publications/JanZelinka_2015_Neural-Network-based},
}