18 citations · 18 across the 2 of their papers we have counts for
2 papers
eess.AS2023★ 18 cited
Music Source Separation Based on a Lightweight Deep Learning Framework (DTTNET: DUAL-PATH TFC-TDF UNET)
Junyu Chen, Susmitha Vekkot, Pancham Shukla
Music source separation (MSS) aims to extract 'vocals', 'drums', 'bass' and 'other' tracks from a piece of mixed music. While deep learning methods have shown impressive results, t…
cs.SD2022
Audio Barlow Twins: Self-Supervised Audio Representation Learning
Jonah Anton, Harry Coppock, Pancham Shukla +1
The Barlow Twins self-supervised learning objective requires neither negative samples or asymmetric learning updates, achieving results on a par with the current state-of-the-art w…