Morten Kolbaek, Dong Yu, Zheng-Hua Tan, Jesper Jensen 0001. Joint separation and denoising of noisy multi-talker speech using recurrent neural networks and permutation invariant training. In Naonori Ueda, Shinji Watanabe, Tomoko Matsui, Jen-Tzung Chien, Jan Larsen, editors, 27th IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2017, Tokyo, Japan, September 25-28, 2017. pages 1-6, IEEE, 2017. [doi]
@inproceedings{KolbaekYT017,
title = {Joint separation and denoising of noisy multi-talker speech using recurrent neural networks and permutation invariant training},
author = {Morten Kolbaek and Dong Yu and Zheng-Hua Tan and Jesper Jensen 0001},
year = {2017},
doi = {10.1109/MLSP.2017.8168152},
url = {https://doi.org/10.1109/MLSP.2017.8168152},
researchr = {https://researchr.org/publication/KolbaekYT017},
cites = {0},
citedby = {0},
pages = {1-6},
booktitle = {27th IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2017, Tokyo, Japan, September 25-28, 2017},
editor = {Naonori Ueda and Shinji Watanabe and Tomoko Matsui and Jen-Tzung Chien and Jan Larsen},
publisher = {IEEE},
isbn = {978-1-5090-6341-3},
}