Employing Real Training Data for Deep Noise Suppression

5 September 2023

Papers citing "Employing Real Training Data for Deep Noise Suppression"

4 / 4 papers shown

Title
Does a PESQNet (Loss) Require a Clean Reference Input? The Original PESQ Does, But ACR Listening Tests Don't Ziyi Xu Maximilian Strake Tim Fingscheidt 37 3 0 04 May 2022
The INTERSPEECH 2020 Deep Noise Suppression Challenge: Datasets, Subjective Testing Framework, and Challenge Results Chandan K. A. Reddy Vishak Gopal Ross Cutler Ebrahim Beyrami R. Cheng ... A. Aazami Sebastian Braun Puneet Rana Sriram Srinivasan J. Gehrke 76 312 0 16 May 2020
Supervised Speech Separation Based on Deep Learning: An Overview DeLiang Wang Jitong Chen SSL 57 1,359 0 24 Aug 2017
SEGAN: Speech Enhancement Generative Adversarial Network Santiago Pascual Antonio Bonafonte Joan Serrà GAN 59 1,141 0 28 Mar 2017