@inproceedings{fc6ac7cafe1e4072b216d965b96a1743,
title = "A novel approach for single channel source separation",
abstract = "The purpose of single source separation is to recover a particular signal from a mixed signal. This work develops a novel source separation method for use with an automatic speech recognition (ASR) system. The proposed method is based on non-negative matrix factorization (NMF), which is extensively used in single channel source separation. In the cost function, a flexible distance, αβ-divergence, is used. Additionally, a mixture signal in high-dimensional space contains a low-dimensional manifold. To preserve this embedded structure, a graph regularization constraint is added to the objective function for optimization. The experimental results thus obtained reveal that the proposed method outperforms baseline methods.",
author = "Lin, {Yan Bo} and Lee, {Yuan Shan} and Tuan Pham and Tai, {Tzu Chiang} and Wang, {Jia Ching}",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 3rd IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2016 ; Conference date: 27-05-2016 Through 30-05-2016",
year = "2016",
month = jul,
day = "25",
doi = "10.1109/ICCE-TW.2016.7521063",
language = "???core.languages.en_GB???",
series = "2016 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2016 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2016",
}