—We consider representing a short temporal fragment of musical audio as a dynamic texture, a model of both the timbral and rhythmical qualities of sound, two of the important asp...
Luke Barrington, Antoni B. Chan, Gert R. G. Lanckr...
MUSART is a research project developing and studying new techniques for music information retrieval. The MUSART architecture uses a variety of representations to support multiple ...
Since only simple symbol-based manipulations are needed,n-gram indexingis used for naturallanguageswhere syntactic or semantic analyses are often difficult. Music, whose automatic...
Measuring the similarity between rhythms is a fundamental problem in computational music theory, with many applications such as music information retrieval and copyright infringem...
We observed that for multimedia data – especially music - collaborative similarity measures perform much better than similarity measures derived from content-based sound feature...