Dilated U-net based approach for multichannel speech enhancement from First-Order Ambisonics recordings

2 June 2020

Papers citing "Dilated U-net based approach for multichannel speech enhancement from First-Order Ambisonics recordings"

6 / 6 papers shown

Title
Single-Channel Speech Enhancement with Deep Complex U-Networks and Probabilistic Latent Space Models E. J. Nustede Jörn Anemüller 27 3 0 04 Sep 2023
Direction Specific Ambisonics Source Separation with End-To-End Deep Learning Francesc Lluís Nils Meyer-Kahlen V. Chatziioannou A. Hofmann 14 5 0 19 May 2023
Echo-enabled Direction-of-Arrival and range estimation of a mobile source in Ambisonic domain J. Daniel Srdan Kitic 58 7 0 10 Mar 2022
L3DAS21 Challenge: Machine Learning for 3D Audio Signal Processing E. Guizzo R. F. Gramaccioni Saeid Jamili Christian Marinoni Edoardo Massaro ... Marco Pennese Sveva Pepe Enrico Rocchi A. Uncini Danilo Comminiello 21 27 0 12 Apr 2021
Towards speech enhancement using a variational U-Net architecture E. J. Nustede Jörn Anemüller 17 1 0 07 Dec 2020
Wave-U-Net: A Multi-Scale Neural Network for End-to-End Audio Source Separation Daniel Stoller Sebastian Ewert S. Dixon AI4TS 104 589 0 08 Jun 2018