Detail publikačního výsledku

DNN derived filters for processing of modulation spectrum of speech

PEŠÁN, J.; BURGET, L.; HEŘMANSKÝ, H.; VESELÝ, K.

Originální název

DNN derived filters for processing of modulation spectrum of speech

Anglický název

DNN derived filters for processing of modulation spectrum of speech

Druh

Stať ve sborníku v databázi WoS či Scopus

Originální abstrakt

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).

Anglický abstrakt

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).

Klíčová slova

deep neural network, convolutive layer, modulationfilters, mammalian auditory processing

Klíčová slova v angličtině

deep neural network, convolutive layer, modulationfilters, mammalian auditory processing

Autoři

PEŠÁN, J.; BURGET, L.; HEŘMANSKÝ, H.; VESELÝ, K.

Rok RIV

2016

Vydáno

06.09.2015

Nakladatel

International Speech Communication Association

Místo

Dresden

ISBN

978-1-5108-1790-6

Kniha

Proceedings of Interspeech 2015

ISSN

1990-9772

Periodikum

Proceedings of Interspeech

Svazek

2015

Číslo

09

Stát

Francouzská republika

Strany od

1908

Strany do

1911

Strany počet

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/"
}

Dokumenty

pesan_interspeech2015_IS150892