most citedExploiting Deep Neural Networks and Head Movements for Robust Binaural Localisation of Multiple Sources in Reverberant Environments

135 citations · 192 across the 3 of their papers we have counts for

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eess.AS2019★ 56 cited

Robust Binaural Localization of a Target Sound Source by Combining Spectral Source Models and Deep Neural Networks

Ning Ma, Jose A. Gonzalez, Guy J. Brown

Despite there being clear evidence for top-down (e.g., attentional) effects in biological spatial hearing, relatively few machine hearing systems exploit top-down model-based knowl…

eess.AS2019★ 135 cited

Exploiting Deep Neural Networks and Head Movements for Robust Binaural Localisation of Multiple Sources in Reverberant Environments

Ning Ma, Tobias May, Guy J. Brown

This paper presents a novel machine-hearing system that exploits deep neural networks (DNNs) and head movements for robust binaural localisation of multiple sources in reverberant…

eess.AS2019★ 1 cited

Deep Learning Features for Robust Detection of Acoustic Events in Sleep-Disordered Breathing

Hector E. Romero, Ning Ma, Guy J. Brown +2

Sleep-disordered breathing (SDB) is a serious and prevalent condition, and acoustic analysis via consumer devices (e.g. smartphones) offers a low-cost solution to screening for it.…