Publication Details

DNN derived filters for processing of modulation spectrum of speech

PEŠÁN, J.; BURGET, L.; HEŘMANSKÝ, H.; VESELÝ, K. DNN derived filters for processing of modulation spectrum of speech. In Proceedings of Interspeech 2015. Proceedings of Interspeech. Dresden: International Speech Communication Association, 2015. p. 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. 09, 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
UT WoS
000380581600400
EID Scopus
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/"
}
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