Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Intelligent query by humming system based on score level fusion of multiple classifiers | Nam et al. EURASIP Journal on Advances in Signal Processing 2011 2011 21 http content 2011 1 21 o EURASIP Journal on Advances in Signal Processing a SpringerOpen Journal RESEARCH Open Access Intelligent query by humming system based on score level fusion of multiple classifiers Gi Pyo Nam1 Thi Thu Trang Luong1 Hyun Ha Nam1 Kang Ryoung Park1 and Sung-Joo Park2 Abstract Recently the necessity for content-based music retrieval that can return results even if a user does not know information such as the title or singer has increased. Query-by-humming QBH systems have been introduced to address this need as they allow the user to simply hum snatches of the tune to find the right song. Even though there have been many studies on QBH few have combined multiple classifiers based on various fusion methods. Here we propose a new QBH system based on the score level fusion of multiple classifiers. This research is novel in the following three respects three local classifiers quantized binary QB code-based linear scaling LS pitch-based dynamic time warping DTW and LS are employed local maximum and minimum point-based LS and pitch distribution feature-based LS are used as global classifiers and the combination of local and global classifiers based on the score level fusion by the PRODUCT rule is used to achieve enhanced matching accuracy. Experimental results with the 2006 MIREX QBSH and 2009 MIR-QBSH corpus databases show that the performance of the proposed method is better than that of single classifier and other fusion methods. Keywords query-by-humming linear scaling dynamic time warping multiple classifiers score level fusion. 1. Introduction With the rapid increase in music data on the Internet MP3 players portable media players PMP and smart phones it is more difficult for the users to find the correct file they want. In addition if they do not know the information details such as the title and singer s name more time is needed for searching. To .
