Publication detail

DNN derived filters for processing of modulation spectrum of speech

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

ISBN

1990-9772

Periodical

Proceedings of Interspeech

Year of study

2015

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/"
}