Autoregressive Moving Average Jointly-Diagonalizable Spatial Covariance Analysis for Joint Source Separation and Dereverberation
- DOI
- 10.1109/taslp.2022.3190734
- Published
- 2022
- Container
- IEEE/ACM Transactions on Audio, Speech and Language Processing
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1109/taslp.2022.3190734,
title = {Autoregressive Moving Average Jointly-Diagonalizable Spatial Covariance Analysis for Joint Source Separation and Dereverberation},
author = {Kouhei Sekiguchi and Yoshiaki Bando and Aditya Arie Nugraha and Mathieu Fontaine and Kazuyoshi Yoshii and Tatsuya Kawahara},
year = {2022},
journal = {IEEE/ACM Transactions on Audio, Speech and Language Processing},
doi = {10.1109/taslp.2022.3190734},
url = {https://doi.org/10.1109/taslp.2022.3190734}
}RIS
TY - JOUR TI - Autoregressive Moving Average Jointly-Diagonalizable Spatial Covariance Analysis for Joint Source Separation and Dereverberation AU - Kouhei Sekiguchi AU - Yoshiaki Bando AU - Aditya Arie Nugraha AU - Mathieu Fontaine AU - Kazuyoshi Yoshii AU - Tatsuya Kawahara PY - 2022 JO - IEEE/ACM Transactions on Audio, Speech and Language Processing DO - 10.1109/taslp.2022.3190734 UR - https://doi.org/10.1109/taslp.2022.3190734 ER -
APA
Sekiguchi, K., Bando, Y., Nugraha, A. A., Fontaine, M., Yoshii, K., & Kawahara, T. (2022). Autoregressive Moving Average Jointly-Diagonalizable Spatial Covariance Analysis for Joint Source Separation and Dereverberation. IEEE/ACM Transactions on Audio, Speech and Language Processing. https://doi.org/10.1109/taslp.2022.3190734
Source records
- hal · retrieved 2026-09-25T10:28:40.127Z