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Greatest papers with code

Unsupervised Deep Clustering for Source Separation: Direct Learning from Mixtures using Spatial Information

5 Nov 2018etzinis/unsupervised_spatial_dc

We present a monophonic source separation system that is trained by only observing mixtures with no ground truth separation information.

DEEP CLUSTERING MULTI-SPEAKER SOURCE SEPARATION SPEECH SEPARATION

CNN-LSTM models for Multi-Speaker Source Separation using Bayesian Hyper Parameter Optimization

19 Dec 2019JeroenZegers/Nabu-MSSS

In this paper we propose a novel network for source separation using an encoder-decoder CNN and LSTM in parallel.

MULTI-SPEAKER SOURCE SEPARATION

Multi-scenario deep learning for multi-speaker source separation

24 Aug 2018JeroenZegers/Nabu-MSSS

Furthermore, it is concluded that a single model, trained on different scenarios is capable of matching performance of scenario specific models.

MULTI-SPEAKER SOURCE SEPARATION

Memory Time Span in LSTMs for Multi-Speaker Source Separation

24 Aug 2018JeroenZegers/Nabu-MSSS

With deep learning approaches becoming state-of-the-art in many speech (as well as non-speech) related machine learning tasks, efforts are being taken to delve into the neural networks which are often considered as a black box.

MULTI-SPEAKER SOURCE SEPARATION