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Andy M. Sarroff

2 accepted papers

2021

Lightweight and Interpretable Neural Modeling of an Audio Distortion Effect Using Hyperconditioned Differentiable Biquads

ICASSP 2021accepted

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 hyperconditioned case, in which a transformation is learned to directly map external parameters of the distortion effect to its inter…

Cited by 0SourceScholar
2019

The Phasebook: Building Complex Masks via Discrete Representations for Source Separation

ICASSP 2019accepted

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. Most systems rely on estimating the magnitude of a target source, either directly or by computing a real-valued mask to…

Cited by 0SourceScholar