Neural Network Alternatives to Convolutive Audio Models for Source Separation

20 September 2017

Papers citing "Neural Network Alternatives to Convolutive Audio Models for Source Separation"

8 / 8 papers shown

Title
An incremental algorithm based on multichannel non-negative matrix partial co-factorization for ambient denoising in auscultation Juan De La Torre Cruz Francisco Jesus Canadas Quesada Damian Martinez-Munoz Nicolas Ruiz Reyes Sebastian Garcia Galan Julio Jose Carabias Orti 63 3 0 01 Nov 2024
Source Separation with Deep Generative Priors V. Jayaram John Thickstun 92 40 0 19 Feb 2020
End-to-end Non-Negative Autoencoders for Sound Source Separation Shrikant Venkataramani Efthymios Tzinis Paris Smaragdis 80 5 0 31 Oct 2019
Deep Tensor Factorization for Spatially-Aware Scene Decomposition Jonah Casebeer Michael Colomb Paris Smaragdis ViT 46 9 0 03 May 2019
Deep Residual Autoencoders for Expectation Maximization-inspired Dictionary Learning Bahareh Tolooshams Sourav Dey Demba E. Ba 54 4 0 18 Apr 2019
Scalable Convolutional Dictionary Learning with Constrained Recurrent Sparse Auto-encoders Bahareh Tolooshams Sourav Dey Demba E. Ba BDL 49 22 0 12 Jul 2018
Multi-Resolution Fully Convolutional Neural Networks for Monaural Audio Source Separation Emad M. Grais H. Wierstorf D. Ward Mark D. Plumbley 59 21 0 28 Oct 2017
End-to-end Source Separation with Adaptive Front-Ends Shrikant Venkataramani Jonah Casebeer Paris Smaragdis 77 72 0 06 May 2017