H. Kang, H. Kang, and M. Song, “Discrimination of Music Signals for Mobile Broadcasting Receivers,” in Proc. AES Conference: 34th International Conference: New Trends in Audio for Mobile and Handheld Devices, Aug. 2008, Paper 17. [Online]. Available: https://aes.org/publications/elibrary-page/?id=14426
Kang H, Kang H, Song M. Discrimination of Music Signals for Mobile Broadcasting Receivers. In: AES Conference: 34th International Conference: New Trends in Audio for Mobile and Handheld Devices. Audio Engineering Society; 2008. Paper 17. Available from: https://aes.org/publications/elibrary-page/?id=14426
@inproceedings{Kang2008_14426,
author = {Kang, Hong and Kang, Hyun and Song, Myung},
title = {{Discrimination of Music Signals for Mobile Broadcasting Receivers}},
booktitle = {AES Conference: 34th International Conference: New Trends in Audio for Mobile and Handheld Devices},
note = {Paper 17},
year = {2008},
month = aug,
publisher = {Audio Engineering Society},
url = {https://aes.org/publications/elibrary-page/?id=14426}
}
TY - CPAPER
TI - Discrimination of Music Signals for Mobile Broadcasting Receivers
AU - Kang, Hong
AU - Kang, Hyun
AU - Song, Myung
T2 - AES Conference: 34th International Conference: New Trends in Audio for Mobile and Handheld Devices
M1 - Paper 17
PY - 2008
DA - 2008/08/06
UR - https://aes.org/publications/elibrary-page/?id=14426
PB - Audio Engineering Society
LA - en
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.
ER -