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Perceptual Evaluation of Source Separation for Remixing Music

Wierstorf, Hagen, Ward, Dominic, Mason, Russell, Grais, Emad M, Hummersone, Christopher and Plumbley, Mark (2017) Perceptual Evaluation of Source Separation for Remixing Music In: 143rd AES Convention 2017, October 18 - 21, 2017, New York.

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Music remixing is difficult when the original multitrack recording is not available. One solution is to estimate the elements of a mixture using source separation. However, existing techniques suffer from imperfect separation and perceptible artifacts on single separated sources. To investigate their influence on a remix, five state-of-the-art source separation algorithms were used to remix six songs by increasing the level of the vocals. A listening test was conducted to assess the remixes in terms of loudness balance and sound quality. The results show that some source separation algorithms are able to increase the level of the vocals by up to 6 dB at the cost of introducing a small but perceptible degradation in sound quality.

Item Type: Conference or Workshop Item (Conference Paper)
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering
Authors :
Grais, Emad
Date : 8 October 2017
Copyright Disclaimer : Copyright 2017 AES. This paper was presented at the 143th Convention of the Audio Engineering Society, as paper number 9880. The full published version can be found at
Related URLs :
Depositing User : Melanie Hughes
Date Deposited : 26 Oct 2017 09:05
Last Modified : 16 Jan 2019 19:03

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