135 citations · 192 across the 6 of their papers we have counts for
4 papers · 1 filter
Auditory-Based Data Augmentation for End-to-End Automatic Speech Recognition
Zehai Tu, Jack Deadman, Ning Ma +1
End-to-end models have achieved significant improvement on automatic speech recognition. One common method to improve performance of these models is expanding the data-space throug…
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…
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…
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.…