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Found 2 papers, 2 papers with code
GEV Beamforming Supported by DOA-based Masks Generated on Pairs of Microphones
The solution presented in this paper is to train a neural network on pairs of microphones with different spacing and acoustic environmental conditions, and then use this network to estimate a time-frequency mask from all the pairs of microphones forming the array with an arbitrary shape.
Lightweight and Optimized Sound Source Localization and Tracking Methods for Open and Closed Microphone Array Configurations
For sound source tracking, this paper presents a modified 3D Kalman (M3K) method capable of simultaneously tracking in 3D the directions of sound sources.
Audio and Speech Processing Sound
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