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Initial objective and subjective evaluation of a similarity-based audio compression technique

Initial objective and subjective evaluation of a similarity-based audio compression technique

Cunningham, Stuart, Weinel, Jonathan ORCID: 0000-0001-5347-3897, Roberts, Shaun, Grout, Vic and Griffiths, Darryl (2013) Initial objective and subjective evaluation of a similarity-based audio compression technique. In: AM '13: Proceedings of the 8th Audio Mostly Conference. September 18 - 20 2013, Piteå, Sweden. ACM international conference proceedings series (1). Association for Computing Machinery (ACM), New York, pp. 1-6. ISBN 978-1-4503-2659-9 (doi:https://doi.org/10.1145/2544114.2544116)

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Abstract

In this paper, we undertake an initial study evaluation of a recently developed audio compression approach; Audio Compression Exploiting Repetition (ACER). This is a novel compression method that employs dictionary-based techniques to encode repetitive musical sequences that naturally occur within musical audio. As such, it is a lossy compression technique that exploits human perception to achieve data reduction. To evaluate the output from the ACER approach, we conduct a pilot evaluation of the ACER coded audio, by employing both objective and subjective testing, to validate the ACER approach. Results show that the ACER approach is capable of producing compressed audio that varies in subjective and objective and quality grades that are inline with the amount of compression desired; configured by setting a similarity threshold value. Several lessons are learned and suggestion given as to how a larger, enhanced series of listening tests will be taken forward in future, as a direct result of the work presented in this paper.

Item Type: Conference Proceedings
Title of Proceedings: AM '13: Proceedings of the 8th Audio Mostly Conference. September 18 - 20 2013, Piteå, Sweden
Uncontrolled Keywords: Information systems, data management systems, data structures, data layout, data compression
Subjects: M Music and Books on Music > M Music
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Faculty / School / Research Centre / Research Group: Faculty of Liberal Arts & Sciences
Faculty of Liberal Arts & Sciences > School of Computing & Mathematical Sciences (CMS)
Faculty of Liberal Arts & Sciences > Sound-Image Research Group
Related URLs:
Last Modified: 21 Oct 2021 10:43
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
Selected for REF2021: None
URI: http://gala.gre.ac.uk/id/eprint/34096

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