We present data-driven methods for supporting musical creativity by capturing the statistics of a musical database. Specifically, we introduce a system that supports users in expl...
A central problem in music information retrieval is finding suitable representations which enable efficient and accurate computation of musical similarity and identity. Low leve...
In this paper we apply nonlinear signal analysis to a music information retrieval task. More concretely, we apply the concept of recurrence plots and recurrence histograms to extr...
Joan Serra, Carlos A. de los Santos, Ralph G. Andr...
In the automatic classification of music many different segmentations of the audio signal have been used to calculate features. These include individual short frames (23 ms), lon...
Abstract. A study on a 220-piece corpus (baroque, classical, romantic, 12tone, jazz, rock, DNA strings, and random music) reveals that aesthetically pleasing music may be describab...
Bill Z. Manaris, Dallas Vaughan, Christopher Wagne...