TY - JFULL AU - Bokyung Sung and Jungsoo Kim and Jinman Kwun and Junhyung Park and Jihye Ryeo and Ilju Ko PY - 2009/1/ TI - Practical Method for Digital Music Matching Robust to Various Sound Qualities T2 - International Journal of Computer and Information Engineering SP - 2824 EP - 2830 VL - 3 SN - 1307-6892 UR - https://publications.waset.org/pdf/9344 PU - World Academy of Science, Engineering and Technology NX - Open Science Index 36, 2009 N2 - In this paper, we propose a practical digital music matching system that is robust to variation in sound qualities. The proposed system is subdivided into two parts: client and server. The client part consists of the input, preprocessing and feature extraction modules. The preprocessing module, including the music onset module, revises the value gap occurring on the time axis between identical songs of different formats. The proposed method uses delta-grouped Mel frequency cepstral coefficients (MFCCs) to extract music features that are robust to changes in sound quality. According to the number of sound quality formats (SQFs) used, a music server is constructed with a feature database (FD) that contains different sub feature databases (SFDs). When the proposed system receives a music file, the selection module selects an appropriate SFD from a feature database; the selected SFD is subsequently used by the matching module. In this study, we used 3,000 queries for matching experiments in three cases with different FDs. In each case, we used 1,000 queries constructed by mixing 8 SQFs and 125 songs. The success rate of music matching improved from 88.6% when using single a single SFD to 93.2% when using quadruple SFDs. By this experiment, we proved that the proposed method is robust to various sound qualities. ER -