Neeraj Kumar Sharma

Orcid: 0000-0002-6391-7532

Affiliations:
  • Indian Institute of Science, Learning and Extraction of Acoustic Patterns Lap, LEAP, Lab, Electrical Engineering, Bangalore, India
  • Carnegie Mellon University, Department of Psychology, Pittsburgh, PA, USA


According to our database1, Neeraj Kumar Sharma authored at least 19 papers between 2012 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2023
Coswara: A respiratory sounds and symptoms dataset for remote screening of SARS-CoV-2 infection.
CoRR, 2023

Sounds of ence: Acoustics of Inhalation in Read Speech.
Proceedings of the Speech and Computer - 25th International Conference, 2023

2022
Towards sound based testing of COVID-19 - Summary of the first Diagnostics of COVID-19 using Acoustics (DiCOVA) Challenge.
Comput. Speech Lang., 2022

Analyzing the impact of SARS-CoV-2 variants on respiratory sound signals.
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

Coswara: A website application enabling COVID-19 screening by analysing respiratory sound samples and health symptoms.
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

The Second Dicova Challenge: Dataset and Performance Analysis for Diagnosis of Covid-19 Using Acoustics.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
The Second DiCOVA Challenge: Dataset and performance analysis for COVID-19 diagnosis using acoustics.
CoRR, 2021

Multi-modal Point-of-Care Diagnostics for COVID-19 Based On Acoustics and Symptoms.
CoRR, 2021

DiCOVA Challenge: Dataset, Task, and Baseline System for COVID-19 Diagnosis Using Acoustics.
Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

2020
Coswara - A Database of Breathing, Cough, and Voice Sounds for COVID-19 Diagnosis.
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

On The Impact of Language Familiarity in Talker Change Detection.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
Analyzing Human Reaction Time for Talker Change Detection.
Proceedings of the IEEE International Conference on Acoustics, 2019

2018
Time-varying sinusoidal demodulation for non-stationary modeling of speech.
Speech Commun., 2018

Leveraging LSTM Models for Overlap Detection in Multi-Party Meetings.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Dimension-based Attention in Learning and Understanding Spoken Language.
Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

2017
Mel-scale sub-band modelling for perceptually improved time-scale modification of speech and audio signals.
Proceedings of the Twenty-third National Conference on Communications, 2017

2015
Event-triggered sampling using signal extrema for instantaneous amplitude and instantaneous frequency estimation.
Signal Process., 2015

Moving sound source parameter estimation using a single microphone and signal extrema samples.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

2012
Sparse signal reconstruction based on signal dependent non-uniform samples.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012


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