Barry, Dan and Lawlor, Bob and Coyle, Eugene
(2004)
Sound Source Separation: Azimuth Discrimination and Resynthesis.
In: 7th International Conference on Digital Audio Effects, DAFX 04, October 5-8, 2004, Naples, Italy.
Abstract
In this paper we present a novel sound source separation algorithm which requires no prior knowledge, no learning, assisted or otherwise, and performs the task of separation based purely on azimuth discrimination within the stereo
field. The algorithm exploits the use of the pan pot as a means to achieve image localisation within stereophonic recordings. As such, only an interaural intensity
difference exists between left and right channels for a single source. We use gain scaling and phase cancellation techniques to expose frequency dependent nulls across the azimuth domain, from which source separation and resynthesis is carried out. We present results obtained from real recordings, and show that for musical recordings, the algorithm improves upon the output quality of current source separation schemes.
Item Type: |
Conference or Workshop Item
(Paper)
|
Keywords: |
Sound Source Separation; Azimuth Discrimination; Resynthesis; image localisation; |
Academic Unit: |
Faculty of Science and Engineering > Electronic Engineering |
Item ID: |
8829 |
Depositing User: |
Robert Lawlor
|
Date Deposited: |
13 Sep 2017 15:51 |
Journal or Publication Title: |
7th International Conference on Digital Audio Effects, DAFX 04 |
Refereed: |
Yes |
URI: |
|
Use Licence: |
This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available
here |
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