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20192022
most citedFast acoustic scattering using convolutional neural networks

7 citations · 14 across the 7 of their papers we have counts for

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8 papers · 1 filter

eess.AS2022

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…

eess.AS20223 cited

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…

eess.AS2021

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…

eess.AS2020

ICASSP 2021 Acoustic Echo Cancellation Challenge: Datasets, Testing Framework, and Results

Kusha Sridhar, Ross Cutler, Ando Saabas +6

The ICASSP 2021 Acoustic Echo Cancellation Challenge is intended to stimulate research in the area of acoustic echo cancellation (AEC), which is an important part of speech enhance…

eess.AS2020

ICASSP 2021 Deep Noise Suppression Challenge

Chandan K A Reddy, Harishchandra Dubey, Vishak Gopal +5

The Deep Noise Suppression (DNS) challenge is designed to foster innovation in the area of noise suppression to achieve superior perceptual speech quality. We recently organized a…

eess.AS20197 cited

Fast acoustic scattering using convolutional neural networks

Ziqi Fan, Vibhav Vineet, Hannes Gamper +1

Diffracted scattering and occlusion are important acoustic effects in interactive auralization and noise control applications, typically requiring expensive numerical simulation. W…