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Investigation of various algorithms on multichannel audio compression

Gunawan, Teddy Surya and Abdul Rashid, Siti Aisyah and Kartiwi, Mira (2017) Investigation of various algorithms on multichannel audio compression. In: 2017 IEEE International Conference on Smart Instrumentation, Measurement and Applications (ICSIMA 2017), 27th-29th Nov. 2017, The Everly Putrajaya Hotel, Kuala Lumpur.

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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: Conference or Workshop Item (Invited Papers)
Additional Information: 5588/60068
Uncontrolled Keywords: multichannel audio; lossless compression; lossy compression; encoding time; compression ratio
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Kulliyyahs/Centres/Divisions/Institutes: 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: 14 Dec 2017 11:33
Last Modified: 21 Feb 2019 11:43
URI: http://irep.iium.edu.my/id/eprint/60068

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