Optimum quantizer design for pre-echo control in a low bit rate audio coding system

In a low bit-rate audio transform coding system, the quantization noise is spread out over the entire analysis block in the time domain after the inverse transformation in the decoder. This increases the likelihood of pre-echoes occurring prior to a transient event. In order to control preechoes...

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Main Authors: Lim, Ai Chye, Huang, Dong Yan, Foo, Say Wei
Other Authors: School of Electrical and Electronic Engineering
Format: Conference or Workshop Item
Language:English
Published: 2009
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Online Access:https://hdl.handle.net/10356/90660
http://hdl.handle.net/10220/4670
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-906602019-12-06T17:51:44Z Optimum quantizer design for pre-echo control in a low bit rate audio coding system Lim, Ai Chye Huang, Dong Yan Foo, Say Wei School of Electrical and Electronic Engineering IEEE International Conference on Information, Communications and Signal Processing (2nd : 1999 : Singapore) DRNTU::Engineering::Electrical and electronic engineering::Electronic systems In a low bit-rate audio transform coding system, the quantization noise is spread out over the entire analysis block in the time domain after the inverse transformation in the decoder. This increases the likelihood of pre-echoes occurring prior to a transient event. In order to control preechoes level, a suitable quantizer should be applied in the coder. This paper presents such an optimum quantizer design by a study of the input signal characteristic in terms of its dynamic range and probability density function (PDF) and a comparison study of different quantizers in a low constant bit rate audio coder with adaptive window switching technique. The performance of quantizers is measured by an objective mean i.e. the average segmental signal-to-noise ratio (SEGSNR).The Laplacian quantizer provides excellent results for the quantization of the transient signal with an increase of about 9 dB in the SEGSNR as compared to the non-uniform quantizers(MPEG-4). Accepted version 2009-06-23T09:15:05Z 2019-12-06T17:51:44Z 2009-06-23T09:15:05Z 2019-12-06T17:51:44Z 1999 1999 Conference Paper Lim, A. C., Huang, D. Y., & Foo, S. W. (1999). Optimum quantizer design for pre-echo control in a low bit rate audio coding system. In Proceedings of the International Conference on Information, Communications and Signal Processing 1999: (pp.1-4). National University of Singapore. https://hdl.handle.net/10356/90660 http://hdl.handle.net/10220/4670 en © 1999 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. http://www.ieee.org/portal/site 4 p. application/pdf
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic DRNTU::Engineering::Electrical and electronic engineering::Electronic systems
spellingShingle DRNTU::Engineering::Electrical and electronic engineering::Electronic systems
Lim, Ai Chye
Huang, Dong Yan
Foo, Say Wei
Optimum quantizer design for pre-echo control in a low bit rate audio coding system
description In a low bit-rate audio transform coding system, the quantization noise is spread out over the entire analysis block in the time domain after the inverse transformation in the decoder. This increases the likelihood of pre-echoes occurring prior to a transient event. In order to control preechoes level, a suitable quantizer should be applied in the coder. This paper presents such an optimum quantizer design by a study of the input signal characteristic in terms of its dynamic range and probability density function (PDF) and a comparison study of different quantizers in a low constant bit rate audio coder with adaptive window switching technique. The performance of quantizers is measured by an objective mean i.e. the average segmental signal-to-noise ratio (SEGSNR).The Laplacian quantizer provides excellent results for the quantization of the transient signal with an increase of about 9 dB in the SEGSNR as compared to the non-uniform quantizers(MPEG-4).
author2 School of Electrical and Electronic Engineering
author_facet School of Electrical and Electronic Engineering
Lim, Ai Chye
Huang, Dong Yan
Foo, Say Wei
format Conference or Workshop Item
author Lim, Ai Chye
Huang, Dong Yan
Foo, Say Wei
author_sort Lim, Ai Chye
title Optimum quantizer design for pre-echo control in a low bit rate audio coding system
title_short Optimum quantizer design for pre-echo control in a low bit rate audio coding system
title_full Optimum quantizer design for pre-echo control in a low bit rate audio coding system
title_fullStr Optimum quantizer design for pre-echo control in a low bit rate audio coding system
title_full_unstemmed Optimum quantizer design for pre-echo control in a low bit rate audio coding system
title_sort optimum quantizer design for pre-echo control in a low bit rate audio coding system
publishDate 2009
url https://hdl.handle.net/10356/90660
http://hdl.handle.net/10220/4670
_version_ 1681036296667004928