Download Melody Line Detection and Source Separation in classical Saxophone Recordings We propose a system which separates saxophone melodies from composite recordings of saxophone, piano, and/or orchestra. The system is intended to produce an accompaniment sans saxophone suitable for rehearsal and practice purposes. A Melody Line Detection (MLD) algorithm is proposed as the starting point for a source separation implementation which incorporates known information about typical saxophone melody lines, acoustic characteristics and range of the saxophone in order to prevent and correct detection errors. By extracting reliable information about the soloist melody line, the system separates piano or orchestra accompaniments from the solo part. The system was tested with commercial recordings and a performance of 79.7% of accurate detections was achieved. The accompaniment tracks obtained after source separation successfully remove most of the saxophone sound while preserving the original nature of the accompaniment track.
Download Re-Thinking Sound Separation: Prior Information and Additivity Constraint in Separation Algorithms In this paper, we study the effect of prior information on the quality of informed source separation algorithms. We present results with our system for solo and accompaniment separation and contrast our findings with two other state-of-the art approaches. Results suggest current separation techniques limit performance when compared to extraction process of prior information. Furthermore, we present an alternative view of the separation process where the additivity constraint of the algorithm is removed in the attempt to maximize obtained quality. Plausible future directions in sound separation research are discussed.