activity
20202023
most citedDNN-based mask estimation for distributed speech enhancement in spatially unconstrained microphone arrays

29 citations · 34 across the 5 of their papers we have counts for

collaborators

5 papers

eess.AS2023

SAMbA: Speech enhancement with Asynchronous ad-hoc Microphone Arrays

Nicolas Furnon, Romain Serizel, Slim Essid +1

Speech enhancement in ad-hoc microphone arrays is often hindered by the asynchronization of the devices composing the microphone array. Asynchronization comes from sampling time of…

eess.SP2021

Attention-based distributed speech enhancement for unconstrained microphone arrays with varying number of nodes

Nicolas Furnon, Romain Serizel, Slim Essid +1

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 s…

eess.SP2020★ 29 cited

DNN-based mask estimation for distributed speech enhancement in spatially unconstrained microphone arrays

Nicolas Furnon, Romain Serizel, Irina Illina +1

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…

eess.SP2020★ 5 cited

Distributed speech separation in spatially unconstrained microphone arrays

Nicolas Furnon, Romain Serizel, Irina Illina +1

Speech separation with several speakers is a challenging task because of the non-stationarity of the speech and the strong signal similarity between interferent sources. Current st…

cs.SD2020

DNN-Based Distributed Multichannel Mask Estimation for Speech Enhancement in Microphone Arrays

Nicolas Furnon, Romain Serizel, Irina Illina +1

Multichannel processing is widely used for speech enhancement but several limitations appear when trying to deploy these solutions to the real-world. Distributed sensor arrays that…