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Found 5 papers, 3 papers with code
SAMbA: Speech enhancement with Asynchronous ad-hoc Microphone Arrays
Speech enhancement in ad-hoc microphone arrays is often hindered by the asynchronization of the devices composing the microphone array.
Attention-based distributed speech enhancement for unconstrained microphone arrays with varying number of nodes
Speech enhancement promises higher efficiency in ad-hoc microphone arrays than in constrained microphone arrays thanks to the wide spatial coverage of the devices in the acoustic scene.
DNN-based mask estimation for distributed speech enhancement in spatially unconstrained microphone arrays
Deep neural network (DNN)-based speech enhancement algorithms in microphone arrays have now proven to be efficient solutions to speech understanding and speech recognition in noisy environments.
Distributed speech separation in spatially unconstrained microphone arrays
We propose a distributed algorithm that can process spatial information in a spatially unconstrained microphone array.
DNN-Based Distributed Multichannel Mask Estimation for Speech Enhancement in Microphone Arrays
Multichannel processing is widely used for speech enhancement but several limitations appear when trying to deploy these solutions to the real-world.
