caa a22 4500 445322357 CHVBK 20180317142708.0 cr unu---uuuuu 170323e20110701xx s 000 0 eng 10.1007/s00530-010-0212-y doi (NATIONALLICENCE)springer-10.1007/s00530-010-0212-y M-MUSICS: an intelligent mobile music retrieval system [Elektronische Daten] [Seungmin Rho, Eenjun Hwang, Jong Park] Accurate voice humming transcription and efficient indexing and retrieval schemes are essential to a large-scale humming-based audio retrieval system. Although much research has been done to develop such schemes, their performance in terms of precision, recall, and F-measure, among all similarity metrics, are still unsatisfactory. In this paper, we propose a new voice query transcription scheme. It considers the following features: note onset detection using dynamic threshold methods, fundamental frequency (F0) acquisition of each frame, and frequency realignment using K-means. We use a popularity-adaptive indexing structure called frequently accessed index (FAI) based on frequently queried tunes for indexing purposes. In addition, we propose a semi-supervised relevance feedback and query reformulation scheme based on a genetic algorithm to improve retrieval efficiency. In this paper, we extend our efforts to mobile multimedia environments and develop a mobile audio retrieval system. Experiments show our system performs satisfactory in wireless mobile multimedia environments. Springer-Verlag, 2010 Content-based audio retrieval nationallicence Mobile platform nationallicence Relevance feedback nationallicence Signal processing nationallicence Rho Seungmin School of Electrical Engineering, Korea University, Seoul, Korea aut Hwang Eenjun School of Electrical Engineering, Korea University, Seoul, Korea aut Park Jong Department of Computer Science and Engineering, Seoul National University of Science and Technology, Seoul, Korea aut Multimedia Systems Springer-Verlag 17/4(2011-07-01), 313-326 0942-4962 17:4<313 2011 17 530 https://doi.org/10.1007/s00530-010-0212-y text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s00530-010-0212-y text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Rho Seungmin School of Electrical Engineering, Korea University, Seoul, Korea aut NATIONALLICENCE 700 1- Hwang Eenjun School of Electrical Engineering, Korea University, Seoul, Korea aut NATIONALLICENCE 700 1- Park Jong Department of Computer Science and Engineering, Seoul National University of Science and Technology, Seoul, Korea aut NATIONALLICENCE 773 0- Multimedia Systems Springer-Verlag 17/4(2011-07-01), 313-326 0942-4962 17:4<313 2011 17 530 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer