Search Results for author: Srikanth Raj Chetupalli

Found 14 papers, 3 papers with code

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

1 code implementation22 May 2023 Debarpan Bhattacharya, Neeraj Kumar Sharma, Debottam Dutta, Srikanth Raj Chetupalli, Pravin Mote, Sriram Ganapathy, Chandrakiran C, Sahiti Nori, Suhail K K, Sadhana Gonuguntla, Murali Alagesan

The rich metadata contained demographic information associated with age, gender and geographic location, as well as the health information relating to the symptoms, pre-existing respiratory ailments, comorbidity and SARS-CoV-2 test status.


Beamformer-Guided Target Speaker Extraction

no code implementations15 Mar 2023 Mohamed Elminshawi, Srikanth Raj Chetupalli, Emanuël A. P. Habets

By allowing for time-varying embeddings in the single-channel TSE block, the proposed method fully exploits the correspondence between the front-end beamformer output and the target speech in the microphone signal.

Target Speaker Extraction

New Insights on Target Speaker Extraction

no code implementations1 Feb 2022 Mohamed Elminshawi, Wolfgang Mack, Srikanth Raj Chetupalli, Soumitro Chakrabarty, Emanuël A. P. Habets

However, such studies have been conducted on a few datasets and have not considered recent deep neural network architectures for SS that have shown impressive separation performance.

Speaker Separation Target Speaker Extraction

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

no code implementations4 Oct 2021 Neeraj Kumar Sharma, Srikanth Raj Chetupalli, Debarpan Bhattacharya, Debottam Dutta, Pravin Mote, Sriram Ganapathy

This paper presents the details of the challenge, which was an open call for researchers to analyze a dataset of audio recordings consisting of breathing, cough and speech signals.

COVID-19 Diagnosis

Directional MCLP Analysis and Reconstruction for Spatial Speech Communication

no code implementations9 Sep 2021 Srikanth Raj Chetupalli, Thippur V. Sreenivas

Distortion-less array response constraint and the time-varying complex Gaussian source model are used in the joint estimation of source DoA and the constituent signal components, separately at each node.

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

no code implementations21 Jun 2021 Neeraj Kumar Sharma, Ananya Muguli, Prashant Krishnan, Rohit Kumar, Srikanth Raj Chetupalli, Sriram Ganapathy

As part of the challenge, datasets with breathing, cough, and speech sound samples from COVID-19 and non-COVID-19 individuals were released to the participants.

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

1 code implementation1 Jun 2021 Srikanth Raj Chetupalli, Prashant Krishnan, Neeraj Sharma, Ananya Muguli, Rohit Kumar, Viral Nanda, Lancelot Mark Pinto, Prasanta Kumar Ghosh, Sriram Ganapathy

The research direction of identifying acoustic bio-markers of respiratory diseases has received renewed interest following the onset of COVID-19 pandemic.

LEAP Submission for the Third DIHARD Diarization Challenge

no code implementations6 Apr 2021 Prachi Singh, Rajat Varma, Venkat Krishnamohan, Srikanth Raj Chetupalli, Sriram Ganapathy

This paper describes the challenge submission, the post-evaluation analysis and improvements observed on the DIHARD-III dataset.

Clustering speaker-diarization +1

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

no code implementations16 Mar 2021 Ananya Muguli, Lancelot Pinto, Nirmala R., Neeraj Sharma, Prashant Krishnan, Prasanta Kumar Ghosh, Rohit Kumar, Shrirama Bhat, Srikanth Raj Chetupalli, Sriram Ganapathy, Shreyas Ramoji, Viral Nanda

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 diagnosis, and machine learning.

COVID-19 Diagnosis

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