Perceptual Evaluation of Source Separation for Remixing Music

Autor: Wierstorf, H., Ward, D., Mason, R., Grais, E. M., Hummersone, C., Mark Plumbley
Zdroj: Mark D. Plumbley
ResearcherID
Scopus-Elsevier
Popis: 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.
Databáze: OpenAIRE