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Guy J. Brown

7 accepted papers

2019

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

ICASSP 2019accepted

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. We present a novel approach for the acoustic identification of SDB sounds, such as snoring, using bottleneck features l…

Cited by 0SourceScholar
2019

End-to-end Binaural Sound Localisation from the Raw Waveform

ICASSP 2019accepted

A novel end-to-end binaural sound localisation approach is proposed which estimates the azimuth of a sound source directly from the waveform. Instead of employing hand-crafted features commonly employed for binaural sound localisation, such as the interaural time and level difference, our end-to-end…

Cited by 63SourceScholar
2016

Robust audiovisual speech recognition using noise-adaptive linear discriminant analysis

ICASSP 2016accepted

Automatic speech recognition (ASR) has become a widespread and convenient mode of human-machine interaction, but it is still not sufficiently reliable when used under highly noisy or reverberant conditions. One option for achieving far greater robustness is to include another modality that is unaffe…

Cited by 0SourceScholar
2015

A machine-hearing system exploiting head movements for binaural sound localisation in reverberant conditions

ICASSP 2015accepted

This paper is concerned with machine localisation of multiple active speech sources in reverberant environments using two (binaural) microphones. Such conditions typically present a problem for `classical' binaural models. Inspired by the human ability to utilise head movements, the current study in…

Cited by 0SourceScholar
2015

Robust localisation of multiple speakers exploiting head movements and multi-conditional training of binaural cues

ICASSP 2015accepted

This paper addresses the problem of localising multiple competing speakers in the presence of room reverberation, where sound sources can be positioned at any azimuth on the horizontal plane. To reduce the amount of front-back confusions which can occur due to the similarity of interaural time diffe…

Cited by 40SourceScholar