NDLI: Fourier-Bessel cepstral coefficients for robust speech recognition

Content Provider	IEEE Xplore Digital Library
Author	Prakash, C. Gangashetty, S.V.
Copyright Year	2012
Description	Author affiliation: Speech and Vision Laboratory., International Institute of Information Technology, Hyderabad, 500 032, India (Prakash, C.; Gangashetty, S.V.)
Abstract	In this paper we propose Fourier-Bessel cepstral coefficients (FBCC) features for robust speech recognition. The Fourier-Bessel representation of the speech signal is obtained using Bessel function as a basis set. The FBCC are extracted from $zero^{th}$ order Bessel coefficients taking into account of the perceptual characteristics of human auditory system. Recognition accuracy is measured using the CMU SPHINX-III speech recognition system using the DARPA Resource Management (RM) speech corpus for training and testing. We evaluate the FBCC in a common experimental set up and compare their performance against traditional technique such as the Mel-frequency cepstral coefficients (MFCC) for various noise conditions. The recognition accuracy is found to be better using FBCC features in comparison with MFCC features under noisy condition data.
Starting Page	1
Ending Page	5
File Size	195638
Page Count	5
File Format	PDF
ISBN	9781467320139
e-ISBN	9781467320146
DOI	10.1109/SPCOM.2012.6290031
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-07-22
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Accuracy Bessel expansion Noise Hidden Markov models Speech recognition Speech zeroth order Bessel coefficients FBCC Mel frequency cepstral coefficient MFCC
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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