5 citations · 7 across the 3 of their papers we have counts for
3 papers
cs.SD2019★ 2 cited
Auditory Separation of a Conversation from Background via Attentional Gating
Shariq Mobin, Bruno Olshausen
We present a model for separating a set of voices out of a sound mixture containing an unknown number of sources. Our Attentional Gating Network (AGN) uses a variable attentional c…
cs.SD2018
Generalization Challenges for Neural Architectures in Audio Source Separation
Shariq Mobin, Brian Cheung, Bruno Olshausen
Recent work has shown that recurrent neural networks can be trained to separate individual speakers in a sound mixture with high fidelity. Here we explore convolutional neural netw…
stat.ML2016★ 5 cited
Voice Conversion using Convolutional Neural Networks
Shariq Mobin, Joan Bruna
The human auditory system is able to distinguish the vocal source of thousands of speakers, yet not much is known about what features the auditory system uses to do this. Fourier T…