Search Results for author:
Found 5 papers, 2 papers with code
Revisiting Representation Learning for Singing Voice Separation with Sinkhorn Distances
In this work we present a method for unsupervised learning of audio representations, focused on the task of singing voice separation.
Sound Audio and Speech Processing
Examining the Mapping Functions of Denoising Autoencoders in Singing Voice Separation
We examine the mapping functions of neural networks based on the denoising autoencoder (DAE) model that are conditioned on the mixture magnitude spectra.
An Overview of Lead and Accompaniment Separation in Music
For model-based methods, we organize them according to whether they concentrate on the lead signal, the accompaniment, or both.
Sound Audio and Speech Processing
MaD TwinNet: Masker-Denoiser Architecture with Twin Networks for Monaural Sound Source Separation
Current state of the art (SOTA) results in monaural singing voice separation are obtained with deep learning based methods.
Sound Audio and Speech Processing
Monaural Singing Voice Separation with Skip-Filtering Connections and Recurrent Inference of Time-Frequency Mask
Singing voice separation based on deep learning relies on the usage of time-frequency masking.
Sound Audio and Speech Processing
