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Multichannel audio compression: performance evaluation of various algorithms

Abdul Rashid, Siti Aisyah and Gunawan, Teddy Surya and Kartiwi, Mira (2017) Multichannel audio compression: performance evaluation of various algorithms. LAP LAMBERT Academic Publishing, Beau Bassin, Mauritius. ISBN 978-620-2-01220-1

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Abstract

Multichannel audio or surround sound compression is rather more challenging to compress compare to mono and stereo audio. Nowadays, many methods and algorithms have been proposed to improve the compression performance on multichannel audio. This book focuses on performance evaluation of various algorithms on multichannel audio compression. First, we identified and investigated current state-of-the-art audio compression algorithms, both lossless and lossy compression, which can handle mono, stereo, 5.1, and 7.1 multichannel audio. Out of various algorithms available, AC3, AAC, and Ogg have been selected as lossy compression algorithms, while FLAC and MPEG-4 ALS have been chosen as lossless compression algorithms. Two performance measure were used in the experiments, i.e. compression ratio and encoding time. The results showed that among three lossy audio compression algorithms, AC3 has the fastest encoding time while Ogg Vorbis has the highest compression ratio. Furthermore, between FLAC and MPEG-4 ALS, FLAC has faster encoding time and MPEG-4 ALS has higher compression ratio. Overall, in terms of encoding time and compression ratio, it has been found that FLAC is the fastest coder while Ogg Vorbis has the highest compression ratio among five encoders evaluated.

Item Type: Book
Additional Information: 5588/58255
Uncontrolled Keywords: Multichannel audio compression
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): Kulliyyah of Engineering > Department of Electrical and Computer Engineering
Kulliyyah of Information and Communication Technology > Department of Information System
Kulliyyah of Information and Communication Technology > Department of Information System
Depositing User: Dr Teddy Surya Gunawan
Date Deposited: 07 Sep 2017 14:52
Last Modified: 16 Mar 2018 02:28
URI: http://irep.iium.edu.my/id/eprint/58255

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