research
∙
03/21/2023
ICASSP 2023 Deep Noise Suppression Challenge
Deep Speech Enhancement Challenge is the 5th edition of deep noise suppr...
share
research
∙
12/04/2022
Speech MOS multi-task learning and rater bias correction
Perceptual speech quality is an important performance metric for telecon...
research
∙
04/13/2022
Predicting score distribution to improve non-intrusive speech quality estimation
Deep noise suppressors (DNS) have become an attractive solution to remov...
research
∙
02/27/2022
ICASSP 2022 Acoustic Echo Cancellation Challenge
The ICASSP 2022 Acoustic Echo Cancellation Challenge is intended to stim...
research
∙
02/27/2022
ICASSP 2022 Deep Noise Suppression Challenge
The Deep Noise Suppression (DNS) challenge is designed to foster innovat...
research
∙
11/23/2021
Effect of noise suppression losses on speech distortion and ASR performance
Deep learning based speech enhancement has made rapid development toward...
research
∙
01/22/2021
Towards efficient models for real-time deep noise suppression
With recent research advancements, deep learning models are becoming att...
research
∙
01/06/2021
Interspeech 2021 Deep Noise Suppression Challenge
The Deep Noise Suppression (DNS) challenge is designed to foster innovat...
research
∙
09/10/2020
ICASSP 2021 Acoustic Echo Cancellation Challenge: Datasets and Testing Framework
The ICASSP 2021 Acoustic Echo Cancellation Challenge is intended to stim...
research
∙
11/01/2019
Predicting word error rate for reverberant speech
Reverberation negatively impacts the performance of automatic speech rec...
research
∙
10/30/2019
Fast acoustic scattering using convolutional neural networks
Diffracted scattering and occlusion are important acoustic effects in in...
research
∙
03/16/2019
