Efficient vector quantisation of line spectral frequencies using the switched split vector quantiser

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Title Efficient vector quantisation of line spectral frequencies using the switched split vector quantiser
Author So, Stephen; Paliwal, Kuldip Kumar
Publication Title Interspeech 2004 (ICSLP)
Editor Soon Hyob Kim and Dae Hee Youn
Year Published 2004
Place of publication Korea
Publisher Sunjin Printing Co.
Abstract In this paper, we investigate the use of a switched split vector quantiser (SSVQ) for coding linear predictive coding (LPC) parameters. The SSVQ is applied to quantise the LPC parameters in terms of line spectral frequencies from the TIMIT database and its performance is compared with the split vector quantiser. Experimental results show that the SSVQ provides a better trade-off between bit-rate and distortion performance than the split VQ. In addition, the SSVQ has a lower computational (search) complexity than the split VQ, though this is attained at the expense of an increase in memory requirements. In order to achieve a spectral distortion of 1 dB, the three-part SSVQ with an 8 directional switch requires 23 bits/frame, 4.41 kflops/frame of computations and 8272 floats of memory, while the corresponding values for a traditional three-part split VQ are 25 bits/frame, 13.3 kflops/frame and 3328 floats, respectively.
Peer Reviewed Yes
Published Yes
Publisher URI http://www.isca-speech.org/index.php
Alternative URI http://www.isca-speech.org/archive/interspeech_2004/
ISBN 1225-441X
Conference name 8th International Conference on Spoken Language Processing
Location Jeju Island, Korea
Date From 2004-10-04
Date To 2004-10-08
URI http://hdl.handle.net/10072/2124
Date Accessioned 2005-03-31
Date Available 2009-09-21T05:51:33Z
Language en_AU
Research Centre Institute for Integrated and Intelligent Systems
Faculty Faculty of Engineering and Information Technology
Subject PRE2009-Speech Recognition
Publication Type Conference Publications (Full Written Paper - Refereed)
Publication Type Code e1

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