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Publication detail
PEŠÁN, J. BURGET, L. HEŘMANSKÝ, H. VESELÝ, K.
Original Title
DNN derived filters for processing of modulation spectrum of speech
Type
conference paper
Language
English
Original Abstract
In this paper DNN paradigm was successfully used for design of modulation frequency FIR filters. This technique optimized the whole process of deriving posterior probabilities of speech sound classes (three-state phonemes).
Keywords
deep neural network, convolutive layer, modulation filters, mammalian auditory processing
Authors
PEŠÁN, J.; BURGET, L.; HEŘMANSKÝ, H.; VESELÝ, K.
RIV year
2015
Released
6. 9. 2015
Publisher
International Speech Communication Association
Location
Dresden
ISBN
978-1-5108-1790-6
Book
Proceedings of Interspeech 2015
1990-9772
Periodical
Proceedings of Interspeech
Year of study
Number
09
State
French Republic
Pages from
1908
Pages to
1911
Pages count
4
URL
https://www.fit.vut.cz/research/publication/10969/
BibTex
@inproceedings{BUT119905, author="Jan {Pešán} and Lukáš {Burget} and Hynek {Heřmanský} and Karel {Veselý}", title="DNN derived filters for processing of modulation spectrum of speech", booktitle="Proceedings of Interspeech 2015", year="2015", journal="Proceedings of Interspeech", volume="2015", number="09", pages="1908--1911", publisher="International Speech Communication Association", address="Dresden", isbn="978-1-5108-1790-6", issn="1990-9772", url="https://www.fit.vut.cz/research/publication/10969/" }