35 citations · 174 across the 23 of their papers we have counts for
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cs.SD2020★ 2 cited
Joint Blind Room Acoustic Characterization From Speech And Music Signals Using Convolutional Recurrent Neural Networks
Paul Callens, Milos Cernak
Acoustic environment characterization opens doors for sound reproduction innovations, smart EQing, speech enhancement, hearing aids, and forensics. Reverberation time, clarity, and…
eess.AS2020★ 4 cited
FastVC: Fast Voice Conversion with non-parallel data
Oriol Barbany Mayor, Milos Cernak
This paper introduces FastVC, an end-to-end model for fast Voice Conversion (VC). The proposed model can convert speech of arbitrary length from multiple source speakers to multipl…
cs.SD2020
Fast accuracy estimation of deep learning based multi-class musical source separation
Alexandru Mocanu, Benjamin Ricaud, Milos Cernak
Music source separation represents the task of extracting all the instruments from a given song. Recent breakthroughs on this challenge have gravitated around a single dataset, MUS…