This paper presents a Blind Source Separation (BSS) algorithm proposed to work into a multi-node network. It is intended to be used indoors as an improvement to overcome some limitations of classical BSS algorithms. The goal is to improve the quality of the speech sources combining the signals of the same source separated from the different nodes located in the room. The algorithm matches the signals belonging to the same source through cross-correlations. It provides some stability to the quality of the separated sources since it takes advantage of the fact that the sources are likely to be correctly separated in some nodes.
Authors:
Clares-Crespo, César; García-Gómez, Joaquín; Fernández-Toloba, Alfredo; Gil-Pita, Roberto; Rosa-Zurera, Manuel; Utrilla-Manso, Manuel
Affiliation:
University of Alcalá, Alcalá de Henares, Madrid, Spain
AES Convention:
145 (October 2018)
Paper Number:
10071
Publication Date:
October 7, 2018
Subject:
Acoustics and Signal Processing
Click to purchase paper as a non-member or you can login as an AES member to see more options.
No AES members have commented on this paper yet.
To be notified of new comments on this paper you can subscribe to this RSS feed. Forum users should login to see additional options.
If you are not yet an AES member and have something important to say about this paper then we urge you to join the AES today and make your voice heard. You can join online today by clicking here.