Hung-Yi Lo's Blog

2013年7月9日星期二

Very Good Survey Paper of Music Information Retrieval

Casey, M.A.; Veltkamp, R.; Goto, M.; Leman, M.; Rhodes, C.; Slaney, M., "Content-Based Music Information Retrieval: Current Directions and Future Challenges," Proceedings of the IEEE , vol.96, no.4, pp.668,696, April 2008
doi: 10.1109/JPROC.2008.916370

Abstract: The steep rise in music downloading over CD sales has created a major shift in the music industry away from physical media formats and towards online products and services. Music is one of the most popular types of online information and there are now hundreds of music streaming and download services operating on the World-Wide Web. Some of the music collections available are approaching the scale of ten million tracks and this has posed a major challenge for searching, retrieving, and organizing music content. Research efforts in music information retrieval have involved experts from music perception, cognition, musicology, engineering, and computer science engaged in truly interdisciplinary activity that has resulted in many proposed algorithmic and methodological solutions to music search using content-based methods. This paper outlines the problems of content-based music information retrieval and explores the state-of-the-art methods using audio cues (e.g., query by humming, audio fingerprinting, content-based music retrieval) and other cues (e.g., music notation and symbolic representation), and identifies some of the major challenges for the coming years.

keywords: {Internet;content-based retrieval;information retrieval;music;World-Wide Web;cognition;content-based music information retrieval;download services;music content;music downloading;music industry;music perception;music streaming;music tracks;musicology;online music collections;online products;online services;Cognition;Computer science;Content based retrieval;Digital signal processing;Fingerprint recognition;Marketing and sales;Multiple signal classification;Music information retrieval;Organizing;Signal processing algorithms;Audio signal processing;content-based music information retrieval;symbolic processing;user interfaces},

URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4472077&isnumber=4472076