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N. Cahill, R. Cooney, and R. Lawlor, "An Enhanced Implementation of the ADRess (Azimuth Discrimination and Resynthesis) Music Source Separation Algorithm," Paper 6984, (2006 October.). doi: N. Cahill, R. Cooney, and R. Lawlor, "An Enhanced Implementation of the ADRess (Azimuth Discrimination and Resynthesis) Music Source Separation Algorithm," Paper 6984, (2006 October.). doi:
Abstract: In this paper we present a novel enhancement to an existing music source separation algorithm which allows for a 76% decrease in computational load whilst enhancing its separation capabilities. The enhanced implementation is based on the ADRess (Azimuth Discrimination and Resynthesis) algorithm which performs a separation of sources within stereo music recordings based on the spatial audio cues created by source localization techniques. The ADRess algorithm employs gain scaling and phase cancellation techniques to isolate sources based on their position across the stereo field. Objective measures and subjective listening tests have shown the separation performance of the enhanced algorithm to be objectively and perceptually comparable with that of the original ADRess algorithm, whilst realizing a finer spatial resolution.

@article{cahill2006an,
author={cahill, niall and cooney, rory and lawlor, robert},
journal={journal of the audio engineering society},
title={an enhanced implementation of the adress (azimuth discrimination and resynthesis) music source separation algorithm},
year={2006},
volume={},
number={},
pages={},
doi={},
month={october},} @article{cahill2006an,
author={cahill, niall and cooney, rory and lawlor, robert},
journal={journal of the audio engineering society},
title={an enhanced implementation of the adress (azimuth discrimination and resynthesis) music source separation algorithm},
year={2006},
volume={},
number={},
pages={},
doi={},
month={october},
abstract={in this paper we present a novel enhancement to an existing music source separation algorithm which allows for a 76% decrease in computational load whilst enhancing its separation capabilities. the enhanced implementation is based on the adress (azimuth discrimination and resynthesis) algorithm which performs a separation of sources within stereo music recordings based on the spatial audio cues created by source localization techniques. the adress algorithm employs gain scaling and phase cancellation techniques to isolate sources based on their position across the stereo field. objective measures and subjective listening tests have shown the separation performance of the enhanced algorithm to be objectively and perceptually comparable with that of the original adress algorithm, whilst realizing a finer spatial resolution.},}

TY - paper
TI - An Enhanced Implementation of the ADRess (Azimuth Discrimination and Resynthesis) Music Source Separation Algorithm
SP - EP -
AU - Cahill, Niall
AU - Cooney, Rory
AU - Lawlor, Robert
PY - 2006
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - October 2006 TY - paper
TI - An Enhanced Implementation of the ADRess (Azimuth Discrimination and Resynthesis) Music Source Separation Algorithm
SP - EP -
AU - Cahill, Niall
AU - Cooney, Rory
AU - Lawlor, Robert
PY - 2006
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - October 2006
AB - In this paper we present a novel enhancement to an existing music source separation algorithm which allows for a 76% decrease in computational load whilst enhancing its separation capabilities. The enhanced implementation is based on the ADRess (Azimuth Discrimination and Resynthesis) algorithm which performs a separation of sources within stereo music recordings based on the spatial audio cues created by source localization techniques. The ADRess algorithm employs gain scaling and phase cancellation techniques to isolate sources based on their position across the stereo field. Objective measures and subjective listening tests have shown the separation performance of the enhanced algorithm to be objectively and perceptually comparable with that of the original ADRess algorithm, whilst realizing a finer spatial resolution.