Comments

This paper was presented at the Third Collaborative Research Symposium on Security, E-Learning, Internet and Networking (SEIN 2007), 3rd International NRG Research Symposium, 14-15 June 2007, which was held by University of Plymouth and the symposium proceedings are available at http://www.cscan.org

Abstract

Existing lossy audio compression techniques such as MP3, WMA and Ogg Vorbis, for example, demonstrate great success in providing compression ratios which successfully reduce the data size from the original sampled audio. These techniques employ psychoacoustic models and traditional statistical coding techniques to achieve data reduction. However, these methods do not take into account the perceived content of the audio, which is often particularly relevant in musical audio. In this paper, we present our research and development work completed to date, in producing a system for audio analysis, which will consider and exploit the repetitive nature of audio and the similarities which frequently occur in audio recordings. We demonstrate the feasibility and scope of the analysis system and consider the techniques and challenges that are employed to achieve data reduction.

Disciplines

Computer and Systems Architecture | Digital Communications and Networking | Hardware Systems | Systems and Communications

Recommended Citation

Cunningham, S. & Grout, V. (2007), ‘Advances in Similarity-Based Audio Compression’. [Paper presented to the Third Collaborative Research Symposium on Security, E-Learning, Internet and Networking 14th-15th June 2007]. Plymouth: Plymouth University