Clean Audio for TV broadcast: An Object-Based Approach for Hearing-Impaired Viewers - April 2015
Audibility of a CD-Standard A/DA/A Loop Inserted into High-Resolution Audio Playback - September 2007
Sound Board: Food for Thought, Aesthetics in Orchestra Recording - April 2015
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.
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.