C. Kim, E. M. Grais, R. Mason, and M. D. Plumbley, “Perception of Phase Changes in the Context of Musical Audio Source Separation,” in Proc. AES Convention 145, Oct. 2018, Paper 10031. [Online]. Available: https://aes.org/publications/elibrary-page/?id=19757
Kim C, Grais EM, Mason R, Plumbley MD. Perception of Phase Changes in the Context of Musical Audio Source Separation. In: AES Convention 145. Audio Engineering Society; 2018. Paper 10031. Available from: https://aes.org/publications/elibrary-page/?id=19757
@inproceedings{Kim2018_19757,
author = {Kim, Chungeun and Grais, Emad M. and Mason, Russell and Plumbley, Mark D.},
title = {{Perception of Phase Changes in the Context of Musical Audio Source Separation}},
booktitle = {AES Convention 145},
note = {Paper 10031},
year = {2018},
month = oct,
publisher = {Audio Engineering Society},
url = {https://aes.org/publications/elibrary-page/?id=19757}
}
TY - CPAPER
TI - Perception of Phase Changes in the Context of Musical Audio Source Separation
AU - Kim, Chungeun
AU - Grais, Emad M.
AU - Mason, Russell
AU - Plumbley, Mark D.
T2 - AES Convention 145
M1 - Paper 10031
PY - 2018
DA - 2018/10/06
UR - https://aes.org/publications/elibrary-page/?id=19757
PB - Audio Engineering Society
LA - en
AB - This study investigates into the perceptual consequence of phase change in conventional magnitude-based source separation. A listening test was conducted, where the participants compared three different source separation scenarios, each with two phase retrieval cases: phase from the original mix or from the target source. The participants’ responses regarding their similarity to the reference showed that (1) the difference between the mix phase and the perfect target phase was perceivable in the majority of cases with some song-dependent exceptions, and (2) use of the mix phase degraded the perceived quality even in the case of perfect magnitude separation. The findings imply that there is room for perceptual improvement by attempting correct phase reconstruction in addition to achieving better magnitude-based separation.
ER -