Faculty of Information Technology, BUT

Publication Details

DNN derived filters for processing of modulation spectrum of speech

PEŠÁN Jan, BURGET Lukáš, HEŘMANSKÝ Hynek and VESELÝ Karel. DNN derived filters for processing of modulation spectrum of speech. In: Proceedings of Interspeech 2015. Dresden: International Speech Communication Association, 2015, pp. 1908-1911. ISBN 978-1-5108-1790-6. ISSN 1990-9772.
Czech title
Filtry získané pomocí DNN pro zpracování modulačního spektra řeči
Type
conference paper
Language
english
Authors
URL
Keywords
deep neural network, convolutive layer, modulation filters, mammalian auditory processing
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).
Annotation
We propose a novel approach to design modulation frequency filters for the first stage processing of critical band spectrum of speech using deep neural network (DNN). These filters replace conventional modulation frequency filters currently used in state-of-the-art BUT speech recognition system and yield about 10% relative improvement in phoneme recognition accuracy. The resulting filters are consistent with some known temporal properties of higher levels of mammalian auditory processing and suggest more efficient scheme for pre-processing of speech for ASR.
Published
2015
Pages
1908-1911
Journal
Proceedings of Interspeech, vol. 2015, no. 9, ISSN 1990-9772
Proceedings
Proceedings of Interspeech 2015
Conference
INTERSPEECH 2015, Dresden, DE
ISBN
978-1-5108-1790-6
Publisher
International Speech Communication Association
Place
Dresden, DE
BibTeX
@INPROCEEDINGS{FITPUB10969,
   author = "Jan Pe\v{s}\'{a}n and Luk\'{a}\v{s} Burget and Hynek He\v{r}mansk\'{y} and Karel Vesel\'{y}",
   title = "DNN derived filters for processing of modulation spectrum of speech",
   pages = "1908--1911",
   booktitle = "Proceedings of Interspeech 2015",
   journal = "Proceedings of Interspeech",
   volume = 2015,
   number = 09,
   year = 2015,
   location = "Dresden, DE",
   publisher = "International Speech Communication Association",
   ISBN = "978-1-5108-1790-6",
   ISSN = "1990-9772",
   language = "english",
   url = "https://www.fit.vut.cz/research/publication/10969"
}
Back to top