The capability of separating solo parts from its music accompaniment has several applications of interest: music education, performance analysis, and entertainment among others. This talk will describe an efficient implementation of a solo and accompaniment separation algorithm and a recent study conducted to better understand the behavior of musical signals, namely, the evolution of spectral parameters in time, and the intricate relations between the different signal components. Initial results from this study will be presented, as well as some preliminary experiments on the inclusion of this information in the separation scheme.

Estefanía Cano is Ph.D student at Fraunhofer IDMT in Ilmeanau - Germany, working in the field of sound separation. Her work particularly deals with the separation of solo and accompaniment parts in polyphonic music. Estefanía holds degrees in Electronic Engineering (B.S) and music (B.M) from Universidad Pontificia Bolivariana and Universidad de Antioquia in Colombia, and in Music Engineer (M.S) from the University of Miami. During her time in Miami, her research focused in the creation of accompaniment tracks for concert preparation, specifically dealing with classical saxophone recordings and university music students as main users. Her current research follows the same line, expanding the separation scheme to different musical instruments and genres, but also aiming at separation results suitable for education and music practice scenarios. While working at Fraunhofer IDMT, Estefanía has been directly involved with the Song2See project which deals with the development of music education tools to aid students in the process of learning a musical instrument.