A Two-Stage Deep Representation Learning-Based Speech Enhancement Method Using Variational Autoencoder and Adversarial Training

16 November 2022

Papers citing "A Two-Stage Deep Representation Learning-Based Speech Enhancement Method Using Variational Autoencoder and Adversarial Training"

7 / 7 papers shown

Title
A Bayesian Permutation training deep representation learning method for speech enhancement with variational autoencoder Yang Xiang Jesper Lisby Højvang M. Rasmussen M. G. Christensen BDL DRL 11 4 0 24 Jan 2022
MetricGAN-U: Unsupervised speech enhancement/ dereverberation based only on noisy/ reverberated speech Szu-Wei Fu Cheng Yu Kuo-Hsuan Hung Mirco Ravanelli Yu Tsao 18 46 0 12 Oct 2021
Variational Autoencoder for Speech Enhancement with a Noise-Aware Encoder Hu Fang Guillaume Carbajal S. Wermter Timo Gerkmann 22 59 0 17 Feb 2021
Interspeech 2021 Deep Noise Suppression Challenge Chandan K. A. Reddy Harishchandra Dubey K. Koishida A. Nair Vishak Gopal Ross Cutler Sebastian Braun H. Gamper R. Aichner Sriram Srinivasan AI4CE 72 160 0 06 Jan 2021
Weighted Speech Distortion Losses for Neural-network-based Real-time Speech Enhancement Yangyang Xia Sebastian Braun Chandan K. A. Reddy Harishchandra Dubey Ross Cutler I. Tashev 26 110 0 28 Jan 2020
A scalable noisy speech dataset and online subjective test framework Chandan K. A. Reddy Ebrahim Beyrami Jamie Pool Ross Cutler Sriram Srinivasan J. Gehrke 67 141 0 17 Sep 2019
Model-based Speech Enhancement for Intelligibility Improvement in Binaural Hearing Aids M. Kavalekalam J. Nielsen J. Boldt M. G. Christensen 8 26 0 13 Jun 2018