Publications
An updated summary of publications is accessible at the Google Scholar page: click here.
Group highlights
This paper introduces Project Boli, a multi-lingual stuttered speech dataset designed to advance scientific understanding and technology development for individuals who stutter, particularly in India.
Ashita Batra, Mannas Narang, Neeraj Kumar Sharma, Pradip K Das
This paper presents the Coswara dataset, a dataset containing diverse set of respiratory sounds and rich meta-data, recorded between April-2020 and February-2022 from 2635 individuals (1819 SARS-CoV-2 negative, 674 positive, and 142 recovered subjects).
Debarpan Bhattacharya, Neeraj Kumar Sharma, Debottam Dutta, Srikanth Raj Chetupalli, Pravin Mote, Sriram Ganapathy, C Chandrakiran, Sahiti Nori, KK Suhail, Sadhana Gonuguntla, Murali Alagesan
Scientific Data, Nature (2023)
We present a reaction time analysis of a sound lateralization test. Stimuli from the sides yielded quicker reactions and better class accuracy than from the front. Congruent ITD–ILD cues significantly improved both metrics.
Neeraj Kumar Sharma, Ünal Ege Gaznepoglu, Thomas Robotham, Emanuël AP Habets
While listening to speech, does our ability to understand a spoken language impact our attention to acoustic attributes of the talker? In this paper, we explore answer this question by analyzing data obtained from a behavioral listening test.
Neeraj Kumar Sharma, Venkat Krishnamohan, Sriram Ganapathy, Ahana Gangopadhayay, Lauren Fink
How good are humans at detecting change in talker while listening to spoken converstations? How do machine compare with humans in this task? We explored this topic here.
Neeraj Kumar Sharma, Shobhana Ganesh, Sriram Ganapathy, Lori L Holt
Thesis
Prediction of Strength and Deformation Behaviour of Jointed Rocks Using Machine Learning Algorithms
Aadarsh Thakur
M.Tech. (Civil) Term Project Thesis (2024); Co-sup Vivek Padamanabha
Spoken language diversity quantification in campus population: A multimodal dataset creation and analysis study
Saksham Kumar, Samarth Hegde
B.Tech. (ECE) Term Project Thesis (2024)
Listening to the lungs: Respiratory sound visualization, annotation, and analysis
Askshaj Padmakar, Sanskar Kejriwal
B.Tech. (ECE) Term Project Thesis (2024)
Auditory attention decoding using listening-state EEG signals in multi-speaker scenarios
Soham Karak
B.Tech. (ECE) Term Project Thesis (2024)
A study on neural network learning dynamics
Partham Kulkarni
B.Tech. (Engg. Physics) Term Project Thesis (2024)
Sentiment analysis of video: Howe we perceive audio and video
Suhayl Mahek
B.Tech. (Engg. Physics) Term Project Thesis (2024)
List of publications
For more updates see the Google Scholar page click here.
Boli: A dataset for understanding stuttering experience and analyzing stuttered speech
Ashita Batra, Mannas Narang, Neeraj Kumar Sharma, Pradip K Das
IEEE ICASSP (2025)
Deciphering Assamese Vowel Harmony with Featural InfoWaveGAN
Priyankoo Sarmah, Wendy Lalhminghlui, Neeraj Kumar Sharma
ISCA Interspeech (2024)
Sounds of
Priyankoo Sarmah, Wendy Lalhminghlui, Neeraj Kumar Sharma
Proc. SPECOM (2023)
Coswara: A respiratory sounds and symptoms dataset for remote screening of SARS-CoV-2 infection
Debarpan Bhattacharya, Neeraj Kumar Sharma, Debottam Dutta, Srikanth Raj Chetupalli, Pravin Mote, Sriram Ganapathy, C Chandrakiran, Sahiti Nori, KK Suhail, Sadhana Gonuguntla, Murali Alagesan
Scientific Data, Nature (2023)
Two congruent cues are better than one: Impact of ITD–ILD combinations on reaction time for sound lateralization
Neeraj Kumar Sharma, Ünal Ege Gaznepoglu, Thomas Robotham, Emanuël AP Habets
JASA Express Letters (2023)
Multi-modal point-of-care diagnostics for covid-19 based on acoustics and symptoms
Srikanth Raj Chetupalli, Prashant Krishnan, Neeraj Sharma, Ananya Muguli, Rohit Kumar, Viral Nanda, Lancelot Mark Pinto, Prasanta Kumar Ghosh, Sriram Ganapathy
IEEE Journal of Translational Engineering in Health and Medicine (2023)
Decoding attended talker solely from listening-state EEG signals
Mohamed Elminshawi, Julia Kostina, Emanuël AP Habets, Neeraj Kumar Sharma
Proc. VoiceID Conference (2022)
Analyzing the impact of SARS-CoV-2 variants on respiratory sound signals
Debarpan Bhattacharya, Debottam Dutta, Neeraj Kumar Sharma, Srikanth Raj Chetupalli, Pravin Mote, Sriram Ganapathy, Sahiti Nori, Sadhana Gonuguntla, Murali Alagesan
ISCA Interspeech (2022)
Coswara: A website application enabling COVID-19 screening by analysing respiratory sound samples and health symptoms
Debarpan Bhattacharya, Debottam Dutta, Neeraj Kumar Sharma, Srikanth Raj Chetupalli, Pravin Mote, Sriram Ganapathy, Chandrakiran C, Sahiti Nori, Suhail K K, Sadhana Gonuguntla, Murali Alagesan
ISCA Interspeech Show & Tell (2022)
The Second Dicova Challenge: Dataset and Performance Analysis for Diagnosis of Covid-19 Using Acoustics
Neeraj Kumar Sharma, Srikanth Raj Chetupalli, Debarpan Bhattacharya, Debottam Dutta, Pravin Mote, Sriram Ganapathy
ICASSP (2021)
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, Rohit Kumar, Srikanth Raj Chetupalli, Sriram Ganapathy
Elsevier Computer, Speech & Language (2022)
DiCOVA Challenge: Dataset, task, and baseline system for COVID-19 diagnosis using acoustics
Ananya Muguli, Lancelot Pinto, Neeraj Sharma, Prashant Krishnan, Prasanta Kumar Ghosh, Rohit Kumar, Shrirama Bhat, Srikanth Raj Chetupalli, Sriram Ganapathy, Shreyas Ramoji, Viral Nanda
ISCA Interspeech (2021)
Acoustic and linguistic features influence talker change detection
Neeraj Kumar Sharma, Venkat Krishnamohan, Sriram Ganapathy, Ahana Gangopadhayay, Lauren Fink
JASA Express Letters (2021)
Coswara – A Database of Breathing, Cough, and Voice Sounds for COVID-19 Diagnosis
Neeraj Sharma, Prashant Krishnan, Rohit Kumar, Shreyas Ramoji, Srikanth Raj Chetupalli, R Nirmala, Prasanta Kumar Ghosh, Sriram Ganapathy
ISCA Interspeech (2020)
On the impact of language familiarity in talker change detection
Neeraj Sharma, Venkat Krishnamohan, Sriram Ganapathy, Ahana Gangopadhayay, Lauren Fink
IEEE ICASSP (2020)
Analyzing human reaction time for talker change detection
Neeraj Sharma, Shobhana Ganesh, Sriram Ganapathy, Lori L Holt
IEEE ICASSP (2020)
Talker change detection: A comparison of human and machine performance
Neeraj Kumar Sharma, Shobhana Ganesh, Sriram Ganapathy, Lori L Holt
JASA (2019)
Time-varying sinusoidal demodulation for non-stationary modeling of speech
Neeraj Kumar Sharma, Thippur V Sreenivas
Elsevier Speech Communication (2019)
Leveraging LSTM models for overlap detection in multi-party meetings
Neeraj Sajjan, Shobhana Ganesh, Neeraj Sharma, Sriram Ganapathy, Neville Ryant
IEEE ICASSP (2018)
Multicomponent 2-D AM-FM modeling of speech spectrograms
Jitendra Kumar Dhiman, Neeraj Sharma, Chandra Sekhar Seelamantula
ISCA Interspeech (2018)
Dimension-based attention in learning and understanding spoken languages
Frederic K Dick, Lori L Holt, Howard Nusbaum, Neeraj Sharma, Barbara Shinn-Cunningham
Cognitive Sciences Meeting (2019)
Mel-scale sub-band modelling for perceptually improved time-scale modification of speech and audio signals
Neeraj Sharma, Shreepad Potadar, Srikanth Raj Chetupalli, TV Sreenivas
IEEE NCC (2017)
Time-instant sampling based encoding of time-varying acoustic spectrum
Neeraj Kumar Sharma
Mechanics of Hearing (2014), American Physical Society
Event-triggered sampling using signal extrema for instantaneous amplitude and instantaneous frequency estimation
Neeraj Kumar Sharma, Thippur V Sreenivas
Elsevier Signal Processing (2015)
Moving sound source parameter estimation using a single microphone and signal extrema samples
Neeraj Sharma, Sai Gunaranjan Pelluri, Thippur V Sreenivas
IEEE ICASSP (2015)
Event-triggered sampling and reconstruction of sparse real-valued trigonometric polynomials
Neeraj Kumar Sharma, TV Sreenivas
IEEE SPCOM (2014, chosen in top 3)
Sparse signal reconstruction based on signal dependent non-uniform samples
Neeraj Sharma, Thippur V Sreenivas
IEEE ICASSP (2012)