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20192026
most citedCoswara -- A Database of Breathing, Cough, and Voice Sounds for COVID-19 Diagnosis

341 citations · 430 across the 18 of their papers we have counts for

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13 papers · 1 filter

eess.AS2023★ 5 cited

Model Adaptation for ASR in low-resource Indian Languages

Abhayjeet Singh, Arjun Singh Mehta, Ashish Khuraishi K S +17

Automatic speech recognition (ASR) performance has improved drastically in recent years, mainly enabled by self-supervised learning (SSL) based acoustic models such as wav2vec2 and…

eess.AS2023

An unsupervised segmentation of vocal breath sounds

Shivani Yadav, Dipanjan Gope, Uma Maheswari K. +1

Breathing is an essential part of human survival, which carries information about a person's physiological and psychological state. Generally, breath boundaries are marked by exper…

eess.AS2022

Vocal Breath Sound Based Gender Classification

Mohammad Shaique Solanki, Ashutosh M Bharadwaj, Jeevan K +1

Voiced speech signals such as continuous speech are known to have acoustic features such as pitch(F0), and formant frequencies(F1, F2, F3) which can be used for gender classificati…

eess.AS2022★ 1 cited

Real-Time MRI Video synthesis from time aligned phonemes with sequence-to-sequence networks

Sathvik Udupa, Prasanta Kumar Ghosh

Real-Time Magnetic resonance imaging (rtMRI) of the midsagittal plane of the mouth is of interest for speech production research. In this work, we focus on estimating utterance lev…

eess.AS2022

Improved acoustic-to-articulatory inversion using representations from pretrained self-supervised learning models

Sathvik Udupa, Siddarth C, Prasanta Kumar Ghosh

In this work, we investigate the effectiveness of pretrained Self-Supervised Learning (SSL) features for learning the mapping for acoustic to articulatory inversion (AAI). Signal p…

eess.AS2021

A study on native American English speech recognition by Indian listeners with varying word familiarity level

Abhayjeet Singh, Achuth Rao MV, Rakesh Vaideeswaran +2

In this study, listeners of varied Indian nativities are asked to listen and recognize TIMIT utterances spoken by American speakers. We have three kinds of responses from each list…

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

Estimating articulatory movements in speech production with transformer networks

Sathvik Udupa, Anwesha Roy, Abhayjeet Singh +2

We estimate articulatory movements in speech production from different modalities - acoustics and phonemes. Acoustic-to articulatory inversion (AAI) is a sequence-to-sequence task.…

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…

eess.AS2020

Speaker conditioned acoustic-to-articulatory inversion using x-vectors

Aravind Illa, Prasanta Kumar Ghosh

Speech production involves the movement of various articulators, including tongue, jaw, and lips. Estimating the movement of the articulators from the acoustics of speech is known…

eess.AS2020

Attention and Encoder-Decoder based models for transforming articulatory movements at different speaking rates

Abhayjeet Singh, Aravind Illa, Prasanta Kumar Ghosh

While speaking at different rates, articulators (like tongue, lips) tend to move differently and the enunciations are also of different durations. In the past, affine transformatio…

eess.AS2020★ 341 cited

Coswara -- A Database of Breathing, Cough, and Voice Sounds for COVID-19 Diagnosis

Neeraj Sharma, Prashant Krishnan, Rohit Kumar +5

The COVID-19 pandemic presents global challenges transcending boundaries of country, race, religion, and economy. The current gold standard method for COVID-19 detection is the rev…

eess.AS2019

A comparative study of estimating articulatory movements from phoneme sequences and acoustic features

Abhayjeet Singh, Aravind Illa, Prasanta Kumar Ghosh

Unlike phoneme sequences, movements of speech articulators (lips, tongue, jaw, velum) and the resultant acoustic signal are known to encode not only the linguistic message but also…