1 citations · 1 across the 1 of their papers we have counts for
2 papers
eess.AS2021★ 1 cited
Lightweight and interpretable neural modeling of an audio distortion effect using hyperconditioned differentiable biquads
Shahan Nercessian, Andy Sarroff, Kurt James Werner
In this work, we propose using differentiable cascaded biquads to model an audio distortion effect. We extend trainable infinite impulse response (IIR) filters to the hyperconditio…
cs.SD2018
Phasebook and Friends: Leveraging Discrete Representations for Source Separation
Jonathan Le Roux, Gordon Wichern, Shinji Watanabe +2
Deep learning based speech enhancement and source separation systems have recently reached unprecedented levels of quality, to the point that performance is reaching a new ceiling.…