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20182026
most citedCoswara -- A Database of Breathing, Cough, and Voice Sounds for COVID-19 Diagnosis

341 citations · 356 across the 23 of their papers we have counts for

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Showing 2021Show all

7 papers · 1 filter

eess.AS2021★ 5 cited

The Second DiCOVA Challenge: Dataset and performance analysis for COVID-19 diagnosis using acoustics

Neeraj Kumar Sharma, Srikanth Raj Chetupalli, Debarpan Bhattacharya +3

The Second Diagnosis of COVID-19 using Acoustics (DiCOVA) Challenge aimed at accelerating the research in acoustics based detection of COVID-19, a topic at the intersection of acou…

eess.AS2021

Directional MCLP Analysis and Reconstruction for Spatial Speech Communication

Srikanth Raj Chetupalli, Thippur V. Sreenivas

Spatial speech communication, i.e., the reconstruction of spoken signal along with the relative speaker position in the enclosure (reverberation information) is considered in this…

eess.AS2021

Towards sound based testing of COVID-19 -- Summary of the first Diagnostics of COVID-19 using Acoustics (DiCOVA) Challenge

Neeraj Kumar Sharma, Ananya Muguli, Prashant Krishnan +3

The technology development for point-of-care tests (POCTs) targeting respiratory diseases has witnessed a growing demand in the recent past. Investigating the presence of acoustic…

eess.AS2021★ 3 cited

Multi-modal Point-of-Care Diagnostics for COVID-19 Based On Acoustics and Symptoms

Srikanth Raj Chetupalli, Prashant Krishnan, Neeraj Sharma +6

The research direction of identifying acoustic bio-markers of respiratory diseases has received renewed interest following the onset of COVID-19 pandemic. In this paper, we design…

eess.AS2021

LEAP Submission for the Third DIHARD Diarization Challenge

Prachi Singh, Rajat Varma, Venkat Krishnamohan +2

The LEAP submission for DIHARD-III challenge is described in this paper. The proposed system is composed of a speech bandwidth classifier, and diarization systems fine-tuned for na…

eess.AS2021

Speaker conditioned acoustic modeling for multi-speaker conversational ASR

Srikanth Raj Chetupalli, Sriram Ganapathy

In this paper, we propose a novel approach for the transcription of speech conversations with natural speaker overlap, from single channel speech recordings. The proposed model is…

eess.AS2021★ 1 cited

DiCOVA Challenge: Dataset, task, and baseline system for COVID-19 diagnosis using acoustics

Ananya Muguli, Lancelot Pinto, Nirmala R. +9

The DiCOVA challenge aims at accelerating research in diagnosing COVID-19 using acoustics (DiCOVA), a topic at the intersection of speech and audio processing, respiratory health d…