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Automatic Evaluation of Musical Sound Separation Quality

This paper addresses the problem of evaluating effectiveness of musical sound separation algorithms. The standardized procedure for evaluating separation quality does not exist. The most convincing and typical way to do this is by carrying out subjective listening tests. However, subjective tests need a solid statistical validation, which means that many experts should take part in such tests, the room characteristics should be adequate, and what is also important, such tests are time consuming. Thus this paper attempts to show that it is possible to carry out the evaluation tests in an automatic way, by employing an Artificial Network System (ANN), which is further justified by experts’ opinion.

Authors: Dziubinski, Marek; Kostek, Bozena
Affiliation: Gdansk University of Technology
AES Convention:119 (October 2005) Paper Number:6625 Import into BibTeX
Subject:Psychoacoustics, Perception, Listening Tests

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