17 citations · 20 across the 6 of their papers we have counts for
16 papers
ICASSP 2022 Acoustic Echo Cancellation Challenge
Ross Cutler, Ando Saabas, Tanel Parnamaa +5
The ICASSP 2022 Acoustic Echo Cancellation Challenge is intended to stimulate research in acoustic echo cancellation (AEC), which is an important area of speech enhancement and sti…
ICASSP 2022 Deep Noise Suppression Challenge
Harishchandra Dubey, Vishak Gopal, Ross Cutler +8
The Deep Noise Suppression (DNS) challenge is designed to foster innovation in the area of noise suppression to achieve superior perceptual speech quality. This is the 4th DNS chal…
Performance optimizations on deep noise suppression models
Jerry Chee, Sebastian Braun, Vishak Gopal +1
We study the role of magnitude structured pruning as an architecture search to speed up the inference time of a deep noise suppression (DNS) model. While deep learning approaches h…
Low complexity online convolutional beamforming
Sebastian Braun, Ivan Tashev
Convolutional beamformers integrate the multichannel linear prediction model into beamformers, which provide good performance and optimality for joint dereverberation and noise red…
On training targets for noise-robust voice activity detection
Sebastian Braun, Ivan Tashev
The task of voice activity detection (VAD) is an often required module in various speech processing, analysis and classification tasks. While state-of-the-art neural network based…
Towards efficient models for real-time deep noise suppression
Sebastian Braun, Hannes Gamper, Chandan K. A. Reddy +1
With recent research advancements, deep learning models are becoming attractive and powerful choices for speech enhancement in real-time applications. While state-of-the-art models…