Discrimination of music signals for mobile broadcasting receivers

Myung Suk Song, Hyun Woo Kang, Hong Goo Kang

Research output: Contribution to conferencePaperpeer-review

2 Citations (Scopus)

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.

Original languageEnglish
Publication statusPublished - 2008
EventAES 34th International Conference: New Trends in Audio for Mobile and Handheld Devices - Jeju Island, Korea, Republic of
Duration: 2008 Aug 282008 Aug 30

Other

OtherAES 34th International Conference: New Trends in Audio for Mobile and Handheld Devices
CountryKorea, Republic of
CityJeju Island
Period08/8/2808/8/30

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering
  • Acoustics and Ultrasonics

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