A Machine-Learning-based approach to Direction-of-arrival Sectorization using Spherical Microphone Array
CJ Nnonyelu, M Jiang, M Adamopoulou… - 2024 IEEE 13rd …, 2024 - ieeexplore.ieee.org
Direction of arrival estimation using the spherical microphone array usually requires a
search in the whole 3-dimensional space, hence computationally demanding. This work …
search in the whole 3-dimensional space, hence computationally demanding. This work …
[HTML][HTML] Computation of spherical sector harmonics norm with application to blind source separation
Spherical microphone arrays (SMAs) are widely being used for source localization and
separation. However, it is uneconomical to build a full SMA when sources are present in …
separation. However, it is uneconomical to build a full SMA when sources are present in …
Multiple source direction-of-arrival estimation applicable under near-, far-, and mixed-field scenarios
Y Hu, T Mao, H Wei, S Niu, W Wang… - The Journal of the …, 2024 - pubs.aip.org
Traditionally, direction-of-arrival (DOA) estimations under near-and far-field scenarios are
treated as independent tasks based on the corresponding acoustic model, hence …
treated as independent tasks based on the corresponding acoustic model, hence …
[PDF][PDF] Learning-based masking for reliable source localization interfered by undesired directional noise
It is incredibly challenging to simultaneously locate an acoustic source in a noisy,
reverberant environment and mitigates directional interference. The proposed study uses a …
reverberant environment and mitigates directional interference. The proposed study uses a …