no code implementations • 20 Sep 2024 • Julian Wechsler, Srikanth Raj Chetupalli, Mhd Modar Halimeh, Oliver Thiergart, Emanuël A. P. Habets
This mask is then applied to a reference microphone to render a signal that exhibits a desired directivity pattern.
1 code implementation • 22 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.
no code implementations • 15 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.
no code implementations • 13 Mar 2023 • Julian Wechsler, Srikanth Raj Chetupalli, Wolfgang Mack, Emanuël A. P. Habets
The network is trained to enforce a fixed mapping of regions to network outputs.
no code implementations • 24 Jun 2022 • 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
The COVID-19 outbreak resulted in multiple waves of infections that have been associated with different SARS-CoV-2 variants.
no code implementations • 13 Jun 2022 • Adrian Herzog, Srikanth Raj Chetupalli, Emanuël A. P. Habets
Consider a multichannel Ambisonic recording containing a mixture of several reverberant speech signals.
1 code implementation • 9 Jun 2022 • 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
The COVID-19 pandemic has accelerated research on design of alternative, quick and effective COVID-19 diagnosis approaches.
no code implementations • 1 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.
no code implementations • 4 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.
no code implementations • 9 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.
no code implementations • 21 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.
1 code implementation • 1 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.
no code implementations • 6 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.
no code implementations • 5 Apr 2021 • Srikanth Raj Chetupalli, Sriram Ganapathy
The proposed model is a combination of a speaker diarization system and a hybrid automatic speech recognition (ASR) system.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+3
1 code implementation • 16 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.