4 citations · 8 across the 12 of their papers we have counts for
5 papers · 1 filter
CVSM: Contrastive Vocal Similarity Modeling
Christos Garoufis, Athanasia Zlatintsi, Petros Maragos
The availability of large, unlabeled datasets across various domains has contributed to the development of a plethora of methods that learn representations for multiple target (dow…
Classical Guitar Duet Separation using GuitarDuets -- a Dataset of Real and Synthesized Guitar Recordings
Marios Glytsos, Christos Garoufis, Athanasia Zlatintsi +1
Recent advancements in music source separation (MSS) have focused in the multi-timbral case, with existing architectures tailored for the separation of distinct instruments, overlo…
Pre-training Music Classification Models via Music Source Separation
Christos Garoufis, Athanasia Zlatintsi, Petros Maragos
In this paper, we study whether music source separation can be used as a pre-training strategy for music representation learning, targeted at music classification tasks. To this en…
Multi-Source Contrastive Learning from Musical Audio
Christos Garoufis, Athanasia Zlatintsi, Petros Maragos
Contrastive learning constitutes an emerging branch of self-supervised learning that leverages large amounts of unlabeled data, by learning a latent space, where pairs of different…
HTMD-Net: A Hybrid Masking-Denoising Approach to Time-Domain Monaural Singing Voice Separation
Christos Garoufis, Athanasia Zlatintsi, Petros Maragos
The advent of deep learning has led to the prevalence of deep neural network architectures for monaural music source separation, with end-to-end approaches that operate directly on…