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  4. Emulating Temporal Receptive Fields of Higher Level Auditory Neurons for ASR
 
conference paper

Emulating Temporal Receptive Fields of Higher Level Auditory Neurons for ASR

Sivaram, Garimella S. V. S.
•
Hermansky, Hynek  
2008
Text, Speech And Dialogue, Proceedings
11th International Conference on Text, Speech and Dialogue

This paper proposes modifications to the Multi-resolution RASTA (MRASTA) feature extraction technique for the automatic speech recognition (ASR). By emulating asymmetries of the temporal receptive field (TRF) profiles of higher level auditory neurons, we obtain more than 11.4% relative improvement in word error rate on OGI-Digits database. Experiments on TIMIT database confirm that proposed modifications are indeed useful.

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Type
conference paper
DOI
10.1007/978-3-540-87391-4_65
Web of Science ID

WOS:000259634700065

Author(s)
Sivaram, Garimella S. V. S.
Hermansky, Hynek  
Date Issued

2008

Publisher

Springer-Verlag New York, Ms Ingrid Cunningham, 175 Fifth Ave, New York, Ny 10010 Usa

Published in
Text, Speech And Dialogue, Proceedings
Series title/Series vol.

Lecture Notes In Artificial Intelligence; 5246

Start page

509

End page

516

Subjects

Feature extraction

•

auditory neurons and speech recognition

•

Cortex

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
LIDIAP  
Event nameEvent placeEvent date
11th International Conference on Text, Speech and Dialogue

Brno, CZECH REPUBLIC

Sep 08-12, 2008

Available on Infoscience
November 30, 2010
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/60925
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