Detail publikace

Local averaging and differentiating of spectral plane for TRAP-based ASR

HEŘMANSKÝ, H., GRÉZL, F.

Originální název

Local averaging and differentiating of spectral plane for TRAP-based ASR

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

Local frequency and time averaging and differentiating operators,
using three neighboring points of critical-band time-frequency
plane, are used to process the plane prior to its use in
TRAP-based ASR. In that way, five alternative TRAP-based ASR
systems (the original one and the time/frequency
integrated/differentiated ones)are created. We show that the
frequency differentiating operator improves performance of the
TRAP-based ASR.

Klíčová slova

speech, speech processing, feature extraction ,speech recognittion, TRAP, TRAP modifications

Autoři

HEŘMANSKÝ, H., GRÉZL, F.

Rok RIV

2003

Vydáno

23. 9. 2003

Nakladatel

Institute for Perceptual Artificial Intelligence

Místo

Geneva

ISSN

1018-4074

Periodikum

European Conference EUROSPEECH

Ročník

2003

Číslo

9

Stát

Švýcarská konfederace

Strany počet

4

URL

http://www.symporg.ch/eurospeech/

BibTex

@inproceedings{BUT14205,
  author="František {Grézl} and Hynek {Heřmanský}",
  title="Local averaging and differentiating of spectral plane for TRAP-based ASR",
  booktitle="Proc. EUROSPEECH 2003",
  year="2003",
  journal="European Conference EUROSPEECH",
  volume="2003",
  number="9",
  pages="4",
  publisher="Institute for Perceptual Artificial Intelligence",
  address="Geneva",
  issn="1018-4074",
  url="http://www.symporg.ch/eurospeech/"
}