A Multifaceted Approach to Music Similarity

نویسنده

  • Kurt Jacobson
چکیده

Previous work has explored the concept of music similarity measures and a variety of methods have been proposed for calculating such measures. This paper describes a system for music similarity which attempts to model and compare some of the more musically salient features of a set of audio signals. A model for timbre and a model for rhythm are implemented directly from previous work, and a model for song structure is developed. The different models are weighted and combined to provide an overall music similarity measure. The system is tested on a small set of popular music files spanning eleven different genres. The system is tuned to estimate genre boundaries using multidimensional scaling – a technique that allows for quick visualization of similarity data. An “automatic DJ” application, that generates playlists based on the music similarity models, serves as a subjective evaluation for the system.

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تاریخ انتشار 2006