Mask-Based Neural Beamforming for Moving Speakers With Self-Attention-Based Tracking

Author:

Ochiai Tsubasa1ORCID,Delcroix Marc1ORCID,Nakatani Tomohiro1,Araki Shoko1ORCID

Affiliation:

1. NTT Corporation, Chiyoda-ku, Japan

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

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

Cited by 8 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. Attention-Driven Multichannel Speech Enhancement in Moving Sound Source Scenarios;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

2. Directional Gain Based Noise Covariance Matrix Estimation for MVDR Beamforming;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

3. A unified beamforming and source separation model for static and dynamic human-robot interaction;JASA Express Letters;2024-03-01

4. Multi-Channel to Multi-Channel Noise Reduction and Reverberant Speech Preservation in Time-Varying Acoustic Scenes for Binaural Reproduction;IEEE/ACM Transactions on Audio, Speech, and Language Processing;2024

5. SpatialNet: Extensively Learning Spatial Information for Multichannel Joint Speech Separation, Denoising and Dereverberation;IEEE/ACM Transactions on Audio, Speech, and Language Processing;2024

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