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Found 6 papers, 4 papers with code
Low Latency Time Domain Multichannel Speech and Music Source Separation
The Goal is to obtain a simple multichannel source separation with very low latency.
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
Unsupervised Interpretable Representation Learning for Singing Voice Separation
In this work, we present a method for learning interpretable music signal representations directly from waveform signals.
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.
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
