8 citations · 13 across the 11 of their papers we have counts for
3 papers · 1 filter
Monaural Singing Voice Separation with Skip-Filtering Connections and Recurrent Inference of Time-Frequency Mask
Stylianos Ioannis Mimilakis, Konstantinos Drossos, João F. Santos +3
Singing voice separation based on deep learning relies on the usage of time-frequency masking. In many cases the masking process is not a learnable function or is not encapsulated…
A Recurrent Encoder-Decoder Approach with Skip-filtering Connections for Monaural Singing Voice Separation
Stylianos Ioannis Mimilakis, Konstantinos Drossos, Tuomas Virtanen +1
The objective of deep learning methods based on encoder-decoder architectures for music source separation is to approximate either ideal time-frequency masks or spectral representa…
Investigating the Potential of Pseudo Quadrature Mirror Filter-Banks in Music Source Separation Tasks
Stylianos Ioannis Mimilakis, Gerald Schuller
Estimating audio and musical signals from single channel mixtures often, if not always, involves a transformation of the mixture signal to the time-frequency (T-F) domain in which…