NDLI: Evaluation of root-normalised front-end (RN LFCC) for speech recognition in wireless GSM network environments

Content Provider	IEEE Xplore Digital Library
Author	Dufour, S. Glorion, C. Lockwood, P.
Copyright Year	1996
Description	Author affiliation: Speech Process. Dept., Matra Commun., Bois d'Arcy, France (Dufour, S.)
Abstract	With the emergence of mobile telephony, the conditions of use of speech recognisers have been completely reconsidered. Speech can be input from a wide range of environments, having to face several degradation causes principally induced by noise and/or channel distortions. The root-normalised front-end is evaluated on several databases. Special attention is given to the GSM environment where noise, channel and coder effects are analysed. Experimental results indicate that this analysis model, when compared to the more conventional mel-scale cepstral representation (MFCC), is proved to be more robust to several types of perturbations. This advantage is maintained when using explicit channel and noise compensation schemes such as NSS (non-linear spectral subtraction).
Starting Page	77
Ending Page	80
File Size	428178
Page Count	4
File Format	PDF
ISBN	0780331923
ISSN	15206149
DOI	10.1109/ICASSP.1996.540294
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1996-05-09
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Speech analysis Working environment noise Cepstral analysis Telephony Speech recognition Speech enhancement Degradation Nonlinear distortion Databases GSM
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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