most citedLumos: A Library for Diagnosing Metric Regressions in Web-Scale Applications

3 citations · 3 across the 2 of their papers we have counts for

collaborators

7 papers

cs.SD2021

Interspeech 2021 Deep Noise Suppression Challenge

Chandan K A Reddy, Harishchandra Dubey, Kazuhito Koishida +7

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…

cs.AI2020

Resonance: Replacing Software Constants with Context-Aware Models in Real-time Communication

Jayant Gupchup, Ashkan Aazami, Yaran Fan +23

Large software systems tune hundreds of 'constants' to optimize their runtime performance. These values are commonly derived through intuition, lab tests, or A/B tests. A 'one-size…

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…

cs.SD2020

DNSMOS: A Non-Intrusive Perceptual Objective Speech Quality metric to evaluate Noise Suppressors

Chandan K A Reddy, Vishak Gopal, Ross Cutler

Human subjective evaluation is the gold standard to evaluate speech quality optimized for human perception. Perceptual objective metrics serve as a proxy for subjective scores. The…

cs.CY20203 cited

Lumos: A Library for Diagnosing Metric Regressions in Web-Scale Applications

Jamie Pool, Ebrahim Beyrami, Vishak Gopal +7

Web-scale applications can ship code on a daily to weekly cadence. These applications rely on online metrics to monitor the health of new releases. Regressions in metric values nee…

eess.AS2020

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…