A robust mobile-based music information retrieval system

In this paper, we propose a robust mobile-based music information retrieval (MIR) system. In the real mobile environment, a query music signal is captured by a cellular phone. A major problem in this environment is distortions contained in the features of the query sound due to the mobile network and environmental noise. In order to minimize the effect of these noises and so improve the system performance, we adopt a simple MA (Moving Average) filter which has relatively simple structure and low computational complexity. Then a SFS (Sequential Forward Selection) feature optimization method is implemented to further improve and stabilize the system performance. The proposed system has been tested with cellular phones in the real world and it shows about 68% of average retrieving success rate. We include experimental results under the real world mobile environments.