Robust Multichannel Dereverberation using Relaxed Multichannel Least Squares

Author:

Lim Felicia1,Zhang Wancheng2,Habets Emanuel A. P.3,Naylor Patrick A.1

Affiliation:

1. Department of Electrical and Electronic Engineering, Imperial College London, UK

2. School of Information and Electronics, Beijing Institute of Technology, China

3. International Audio Laboratories Erlangen (a joint institution of the University of Erlangen-Nuremberg and Fraunhofer IIS), Germany

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Acoustics and Ultrasonics,Computer Science (miscellaneous),Computational Mathematics

Cited by 17 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Multichannel Linear Prediction-Based Speech Dereverberation Considering Sparse and Low-Rank Priors;IEEE/ACM Transactions on Audio, Speech, and Language Processing;2024

2. Robust single- and multi-loudspeaker least-squares-based equalization for hearing devices;EURASIP Journal on Audio, Speech, and Music Processing;2022-06-11

3. Enhancement of Noisy Reverberant Speech Using Polynomial Matrix Eigenvalue Decomposition;IEEE/ACM Transactions on Audio, Speech, and Language Processing;2021

4. Multichannel Online Dereverberation Based on Spectral Magnitude Inverse Filtering;IEEE/ACM Transactions on Audio, Speech, and Language Processing;2019-09

5. Multichannel Identification and Nonnegative Equalization for Dereverberation and Noise Reduction Based on Convolutive Transfer Function;IEEE/ACM Transactions on Audio, Speech, and Language Processing;2018-10

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