LICENSE

Copyright (C) 2019 Kouhei Sekiguchi

The programs in this repository are only for academic research at universities and research institutions.
It is not allowed to use or modify the programs for commercial or industrial purpose without permission.

If you use the code of FastMNMF1 or FastMNMF2 in your research project, please cite the following paper:

* Kouhei Sekiguchi, Aditya Arie Nugraha, Yoshiaki Bando, Kazuyoshi Yoshii:  
 [Fast Multichannel Source Separation Based on Jointly Diagonalizable Spatial Covariance Matrices](https://ieeexplore.ieee.org/abstract/document/8902557),  
 European Signal Processing Conference (EUSIPCO), 2019
* Kouhei Sekiguchi, Yoshiaki Bando, Aditya Arie Nugraha, Kazuyoshi Yoshii, Tatsuya Kawahara:  
[Fast Multichannel Nonnegative Matrix Factorization with Directivity-Aware Jointly-Diagonalizable Spatial Covariance Matrices for Blind Source Separation](https://ieeexplore.ieee.org/document/9177266),  
IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2020.  

If you use the code of AR-FastMNMF2 in your research project, please cite the following paper:

* Kouhei Sekiguchi, Yoshiaki Bando, Aditya Arie Nugraha, Mathieu Fontaine, Kazuyoshi Yoshii:
[Autoregressive Fast Multichannel Nonnegative Matrix Factorization for Joint Blind Source Separation and Dereverberation](https://ieeexplore.ieee.org/document/9414857),
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021.