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 language | English |
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Publication status | Published - 2008 |
Event | AES 34th International Conference: New Trends in Audio for Mobile and Handheld Devices - Jeju Island, Korea, Republic of Duration: 2008 Aug 28 → 2008 Aug 30 |
Other
Other | AES 34th International Conference: New Trends in Audio for Mobile and Handheld Devices |
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Country/Territory | Korea, Republic of |
City | Jeju Island |
Period | 08/8/28 → 08/8/30 |
All Science Journal Classification (ASJC) codes
- Electrical and Electronic Engineering
- Acoustics and Ultrasonics