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Madina Hasan

1 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