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: Research Article A Model-Based Approach to Constructing Music Similarity Functions | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2007 Article ID 24602 10 pages doi 2007 24602 Research Article A Model-Based Approach to Constructing Music Similarity Functions Kris West1 and Paul Lamere2 1 School of Computer Sciences University of East Anglia Norwich NR4 7TJ UK 2 Sun Microsystems Laboratories Sun Microsystems Inc. Burlington MA 01803 USA Received 1 December 2005 Revised 30 July 2006 Accepted 13 August 2006 Recommended by Ichiro Fujinaga Several authors have presented systems that estimate the audio similarity of two pieces of music through the calculation of a distance metric such as the Euclidean distance between spectral features calculated from the audio related to the timbre or pitch of the signal. These features can be augmented with other temporally or rhythmically based features such as zero-crossing rates beat histograms or fluctuation patterns to form a more well-rounded music similarity function. It is our contention that perceptual or cultural labels such as the genre style or emotion of the music are also very important features in the perception of music. These labels help to define complex regions of similarity within the available feature spaces. We demonstrate a machinelearning-based approach to the construction of a similarity metric which uses this contextual information to project the calculated features into an intermediate space where a music similarity function that incorporates some of the cultural information may be calculated. Copyright 2007 Hindawi Publishing Corporation. All rights reserved. 1. INTRODUCTION The rapid growth of digital media delivery in recent years has led to an increase in the demand for tools and techniques for managing huge music catalogues. This growth began with peer-to-peer file sharing services internet radio stations such as the Shoutcast network and online music purchase services such as Apple s iTunes music store. Recently these services have been
