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Conference Paper

Discrimination of Music Signals for Mobile Broadcasting Receivers

Authors: Kang, Hong; Kang, Hyun; Song, Myung

AES Conference: 34th International Conference: New Trends in Audio for Mobile and Handheld Devices · Paper 17 · August 2008

Abstract

This paper proposes a Gaussian mixture model (GMM)-based music discrimination system for mobile broadcasting receivers. The objective of the system is automatically archiving music signals from audio broadcasting programs that are normally mixed with human voices, acoustic noises, commercial advertisements, and so on. To enhance the robustness of the system performance and to sharply cut the starting/ending-point of the recording, we also introduce a post-processing module whose features consist of signal duration, energy dynamics, and local variation of feature statistics. Experimental results to various input signals verify the superiority of the proposed system.

Details

Published in
AES Conference: 34th International Conference: New Trends in Audio for Mobile and Handheld Devices
Paper number
17
Publication date
August 6, 2008
Session subject
Audio for Mobile & Handheld Devices: Signal Processing
Affiliation
Yonsei University; Kangnam University (See document for exact affiliation information.)
Type
Conference Paper