University of Surrey

Test tubes in the lab Research in the ATI Dance Research

A comparison of two different methods for score-informed source separation

Fritsch, J, Ganseman, J and Plumbley, MD A comparison of two different methods for score-informed source separation In: Proc. 5th International Workshop on Machine Learning and Music (MML 2012), 2012-06-30 - ?, Edinburgh, Scotland, UK.

Full text not available from this repository.

Abstract

We present a new method for score-informed source separation, combining ideas from two previous approaches: one based on paramet- ric modeling of the score which constrains the NMF updating process, the other based on PLCA that uses synthesized scores as prior probability distributions. We experimentally show improved separation results using the BSS EVAL and PEASS toolkits, and discuss strengths and weaknesses compared with the previous PLCA-based approach.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Authors :
NameEmailORCID
Fritsch, JUNSPECIFIEDUNSPECIFIED
Ganseman, JUNSPECIFIEDUNSPECIFIED
Plumbley, MDm.plumbley@surrey.ac.ukUNSPECIFIED
Related URLs :
Depositing User : Symplectic Elements
Date Deposited : 17 May 2017 13:37
Last Modified : 17 May 2017 15:12
URI: http://epubs.surrey.ac.uk/id/eprint/839863

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year


Information about this web site

© The University of Surrey, Guildford, Surrey, GU2 7XH, United Kingdom.
+44 (0)1483 300800