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H. Kang, H. Kang, and M. Song, "Discrimination of Music Signals for Mobile Broadcasting Receivers," Paper 17, (2008 August.). doi: H. Kang, H. Kang, and M. Song, "Discrimination of Music Signals for Mobile Broadcasting Receivers," Paper 17, (2008 August.). doi:
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.

@article{kang2008discrimination,
author={kang, hong and kang, hyun and song, myung},
journal={journal of the audio engineering society},
title={discrimination of music signals for mobile broadcasting receivers},
year={2008},
volume={},
number={},
pages={},
doi={},
month={august},} @article{kang2008discrimination,
author={kang, hong and kang, hyun and song, myung},
journal={journal of the audio engineering society},
title={discrimination of music signals for mobile broadcasting receivers},
year={2008},
volume={},
number={},
pages={},
doi={},
month={august},
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.},}

TY - paper
TI - Discrimination of Music Signals for Mobile Broadcasting Receivers
SP - EP -
AU - Kang, Hong
AU - Kang, Hyun
AU - Song, Myung
PY - 2008
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - August 2008 TY - paper
TI - Discrimination of Music Signals for Mobile Broadcasting Receivers
SP - EP -
AU - Kang, Hong
AU - Kang, Hyun
AU - Song, Myung
PY - 2008
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - August 2008
AB - 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.