NDLI: Nonlinear Speech Coding Using Backward Adaptive Variable-Length Quadratic Filters

Content Provider	IEEE Xplore Digital Library
Author	Alipoor, G. Savoji, M.H.
Copyright Year	2007
Description	Author affiliation: Shahid Beheshti Univ., Tehran (Alipoor, G.; Savoji, M.H.)
Abstract	The ADTCM coding technique with nonlinear prediction based on quadratic Volterra filters is examined using backward prediction schemes based on LMS and RLS algorithms. Utilizing backward adaptive quadratic filters in ADTCM based speech coding, by itself, does not result in an overall improvement in the quality of reconstructed signal in comparison with a linear scheme using the same bit rate. However, it is shown that a scheme can be developed in which, for each frame of constant length, a set of quadratic filters with different memory sizes is examined and the nonlinear filter resulting in best improved quality is decided on. The identifying code of the selected filter is sent to the decoder along with the quantized residual signals. The simulation results show that the proposed scheme results in a good improvement (up to 2 dB) in the overall quality of the reconstructed speech signal. This improvement is achieved at the cost of a slight increase in the bit rate and a small delay.
Starting Page	185
Ending Page	189
File Size	336910
Page Count	5
File Format	PDF
ISBN	9789531841160
ISSN	18455921
DOI	10.1109/ISPA.2007.4383687
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-09-27
Publisher Place	Turkey
Access Restriction	Subscribed
Rights Holder	Fac. of Elec. Eng. & Computing, Univ of Zagreb, Croatia
Subject Keyword	Speech coding Adaptive filters Nonlinear filters Bit rate Least squares approximation Resonance light scattering Decoding Signal processing Costs Delay Volterra Series Adaptive Signal Processing Least Mean Square Methods Least Squares Methods Speech Coding
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
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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