3 citations · 7 across the 6 of their papers we have counts for
Showing 2020 · cs.SDShow all
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cs.SD2020★ 3 cited
InfantNet: A Deep Neural Network for Analyzing Infant Vocalizations
Mohammad K. Ebrahimpour, Sara Schneider, David C. Noelle +1
Acoustic analyses of infant vocalizations are valuable for research on speech development as well as applications in sound classification. Previous studies have focused on measures…
cs.SD2020
End-to-End Auditory Object Recognition via Inception Nucleus
Mohammad K. Ebrahimpour, Timothy Shea, Andreea Danielescu +2
Machine learning approaches to auditory object recognition are traditionally based on engineered features such as those derived from the spectrum or cepstrum. More recently, end-to…