S. Lee, S. H. Park, and K.-M. Sung, “Geometric Source Separation Method of Audio Signals Based on Beamforming and NMF,” in Proc. AES Conference: 42nd International Conference: Semantic Audio, Jul. 2011, Paper P2-6. [Online]. Available: https://aes.org/publications/elibrary-page/?id=15954
Lee S, Park SH, Sung KM. Geometric Source Separation Method of Audio Signals Based on Beamforming and NMF. In: AES Conference: 42nd International Conference: Semantic Audio. Audio Engineering Society; 2011. Paper P2-6. Available from: https://aes.org/publications/elibrary-page/?id=15954
@inproceedings{Lee2011_15954,
author = {Lee, Seokjin and Park, Sang Ha and Sung, Koeng-Mo},
title = {{Geometric Source Separation Method of Audio Signals Based on Beamforming and NMF}},
booktitle = {AES Conference: 42nd International Conference: Semantic Audio},
note = {Paper P2-6},
year = {2011},
month = jul,
publisher = {Audio Engineering Society},
url = {https://aes.org/publications/elibrary-page/?id=15954}
}
TY - CPAPER
TI - Geometric Source Separation Method of Audio Signals Based on Beamforming and NMF
AU - Lee, Seokjin
AU - Park, Sang Ha
AU - Sung, Koeng-Mo
T2 - AES Conference: 42nd International Conference: Semantic Audio
M1 - Paper P2-6
PY - 2011
DA - 2011/07/06
UR - https://aes.org/publications/elibrary-page/?id=15954
PB - Audio Engineering Society
LA - en
AB - This paper proposes two geometric source separation methods. The first one is composed of a NMF-based separation module and clustering module with spatial information. The purpose of the algorithm is twofold: first, to enhance the interference injection performance relative to conventional beamformer algorithms, and second, to provide a useful clustering algorithm for decomposed bases after using the NMF method. The second proposed algorithm is composed of a beamformer module, a NMF-based separation and clustering module, and a selection module. The proposed system is compiled to assure robustness with the difference of the incidence angles between the desired signal and the interference signal. The evaluation was performed with recorded speech signals and the results are illustrated.
ER -