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20202023
most citedThe INTERSPEECH 2020 Deep Noise Suppression Challenge: Datasets, Subjective Speech Quality and Testing Framework

65 citations · 106 across the 11 of their papers we have counts for

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Showing 2020Show all

5 papers · 1 filter

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.AS2020

DNN No-Reference PSTN Speech Quality Prediction

Gabriel Mittag, Ross Cutler, Yasaman Hosseinkashi +4

Classic public switched telephone networks (PSTN) are often a black box for VoIP network providers, as they have no access to performance indicators, such as delay or packet loss.…

eess.AS2020★ 3 cited

The INTERSPEECH 2020 Deep Noise Suppression Challenge: Datasets, Subjective Testing Framework, and Challenge Results

Chandan K. A. Reddy, Vishak Gopal, Ross Cutler +10

The INTERSPEECH 2020 Deep Noise Suppression (DNS) Challenge is intended to promote collaborative research in real-time single-channel Speech Enhancement aimed to maximize the subje…

cs.SD2020★ 65 cited

The INTERSPEECH 2020 Deep Noise Suppression Challenge: Datasets, Subjective Speech Quality and Testing Framework

Chandan K. A. Reddy, Ebrahim Beyrami, Harishchandra Dubey +10

The INTERSPEECH 2020 Deep Noise Suppression Challenge is intended to promote collaborative research in real-time single-channel Speech Enhancement aimed to maximize the subjective…