AES E-Library

An Enhanced Implementation of the ADRess (Azimuth Discrimination and Resynthesis) Music Source Separation Algorithm

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.

Authors: Cahill, Niall; Cooney, Rory; Lawlor, Robert
Affiliation: National University of Maynooth
AES Convention:121 (October 2006) Paper Number:6984 Import into BibTeX
Subject:Signal Processing

Click to purchase paper or login as an AES member. If your company or school subscribes to the E-Library then switch to the institutional version. If you are not an AES member and would like to subscribe to the E-Library then Join the AES!

This paper costs $20 for non-members, $5 for AES members and is free for E-Library subscribers.

Learn more about the AES E-Library

E-Library Location: (CD 121Papers)   /121/6984.pdf

Start a discussion about this paper!