Publication detail

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

HEŘMANSKÝ, H., GRÉZL, F.

Original Title

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

Type

conference paper

Language

English

Original Abstract

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.

Keywords

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

Authors

HEŘMANSKÝ, H., GRÉZL, F.

RIV year

2003

Released

23. 9. 2003

Publisher

Institute for Perceptual Artificial Intelligence

Location

Geneva

ISBN

1018-4074

Periodical

European Conference EUROSPEECH

Year of study

2003

Number

9

State

Swiss Confederation

Pages count

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/"
}