Low-Latency Neural Models for Real-Time Music Enhancement
Abstract
A benchmark compares causal enhancement models on musical recordings and examines how restoration quality varies with the degradation, dataset, and evaluation metric.
Type
Publication
arXiv preprint
Emmanouil Karystinaios
Senior Machine Learning Engineer and Postdoctoral Researcher
I work in music information retrieval as a Senior Machine Learning Engineer at Muse Group and a part-time Postdoctoral Researcher at Johannes Kepler University Linz.