Initial Objective & Subjective Evaluation of a Similarity-Based Audio Compression Technique

Stuart Cunningham, Jonathan Weinel, Shaun Roberts, Vic Grout, Darryl Griffiths

Research output: Chapter in Book/Report/Conference proceedingConference proceedingpeer-review

3 Citations (Scopus)


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.
Original languageEnglish
Title of host publicationAM '13 Proceedings of the 8th Audio Mostly Conference
Place of PublicationUnited States
Publisher Association for Computing Machinery
ISBN (Print) 978-1-4503-2659-9
Publication statusPublished - 18 Sep 2013
Externally publishedYes
EventAudio Mostly Conference - Piteå, Sweden
Duration: 18 Sep 201320 Sep 2013
Conference number: 8


ConferenceAudio Mostly Conference


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