Srikanth Raj Chetupalli

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 37

Top Topics

Linear Predictors

Speech Enhancement

Spatial Regions

Top Venues

Publications

Mohamed Elminshawi, Srikanth Raj Chetupalli, Emanuël A. P. Habets
Beamformer-Guided Target Speaker Extraction. CoRR (2023)
Srikanth Raj Chetupalli, Emanuël A. P. Habets
Speaker Counting and Separation From Single-Channel Noisy Mixtures. IEEE ACM Trans. Audio Speech Lang. Process. 31 (2023)
Adrian Herzog, Srikanth Raj Chetupalli, Emanuël A. P. Habets
AmbiSep: Joint Ambisonic-to-Ambisonic Speech Separation and Noise Reduction. IEEE ACM Trans. Audio Speech Lang. Process. 31 (2023)
Julian Wechsler, Srikanth Raj Chetupalli, Wolfgang Mack, Emanuël A. P. Habets
Multi-Microphone Speaker Separation by Spatial Regions. CoRR (2023)
Mohamed Elminshawi, Srikanth Raj Chetupalli, Emanuël A. P. Habets
Beamformer-Guided Target Speaker Extraction. ICASSP (2023)
Mohamed Elminshawi, Srikanth Raj Chetupalli, Emanuël A. P. Habets
Slim-Tasnet: A Slimmable Neural Network for Speech Separation. WASPAA (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
Coswara: A respiratory sounds and symptoms dataset for remote screening of SARS-CoV-2 infection. CoRR (2023)
Julian Wechsler, Srikanth Raj Chetupalli, Wolfgang Mack, Emanuël A. P. Habets
Multi-Microphone Speaker Separation by Spatial Regions. ICASSP (2023)
Neeraj Kumar Sharma, Ananya Muguli, Prashant Krishnan V, Rohit Kumar, Srikanth Raj Chetupalli, Sriram Ganapathy
Towards sound based testing of COVID-19 - Summary of the first Diagnostics of COVID-19 using Acoustics (DiCOVA) Challenge. Comput. Speech Lang. 73 (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
Coswara: A website application enabling COVID-19 screening by analysing respiratory sound samples and health symptoms. INTERSPEECH (2022)
Adrian Herzog, Srikanth Raj Chetupalli, Emanuël A. P. Habets
AmbiSep: Ambisonic-to-Ambisonic Reverberant Speech Separation Using Transformer Networks. IWAENC (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
Coswara: A website application enabling COVID-19 screening by analysing respiratory sound samples and health symptoms. CoRR (2022)
Neeraj Kumar Sharma, Srikanth Raj Chetupalli, Debarpan Bhattacharya, Debottam Dutta, Pravin Mote, Sriram Ganapathy
The Second Dicova Challenge: Dataset and Performance Analysis for Diagnosis of Covid-19 Using Acoustics. ICASSP (2022)
Srikanth Raj Chetupalli, Emanuël Habets
Speech Separation for an Unknown Number of Speakers Using Transformers With Encoder-Decoder Attractors. INTERSPEECH (2022)
Srikanth Raj Chetupalli, Sriram Ganapathy
Speaker conditioned acoustic modeling for multi-speaker conversational ASR. INTERSPEECH (2022)
Debarpan Bhattacharya, Debottam Dutta, Neeraj Sharma, Srikanth Raj Chetupalli, Pravin Mote, Sriram Ganapathy, Chandrakiran C, Sahiti Nori, Suhail K. K, Sadhana Gonuguntla, Murali Alagesan
Analyzing the impact of SARS-CoV-2 variants on respiratory sound signals. INTERSPEECH (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
Analyzing the impact of SARS-CoV-2 variants on respiratory sound signals. CoRR (2022)
Prachi Singh, Rajat Varma, Venkat Krishnamohan, Srikanth Raj Chetupalli, Sriram Ganapathy
LEAP Submission for the Third DIHARD Diarization Challenge. Interspeech (2021)
Flávio Ávila, Amir H. Poorjam, Deepak Mittal, Charles Dognin, Ananya Muguli, Rohit Kumar, Srikanth Raj Chetupalli, Sriram Ganapathy, Maneesh Singh
Investigating Feature Selection and Explainability for COVID-19 Diagnostics from Cough Sounds. Interspeech (2021)
Srikanth Raj Chetupalli, Prashant Krishnan V, Neeraj Sharma, Ananya Muguli, Rohit Kumar, Viral Nanda, Lancelot Mark Pinto, Prasanta Kumar Ghosh, Sriram Ganapathy
Multi-modal Point-of-Care Diagnostics for COVID-19 Based On Acoustics and Symptoms. CoRR (2021)
Neeraj Kumar Sharma, Srikanth Raj Chetupalli, Debarpan Bhattacharya, Debottam Dutta, Pravin Mote, Sriram Ganapathy
The Second DiCOVA Challenge: Dataset and performance analysis for COVID-19 diagnosis using acoustics. CoRR (2021)
Neeraj Kumar Sharma, Ananya Muguli, Prashant Krishnan V, Rohit Kumar, Srikanth Raj Chetupalli, Sriram Ganapathy
Towards sound based testing of COVID-19 - Summary of the first Diagnostics of COVID-19 using Acoustics (DiCOVA) Challenge. CoRR (2021)
Ananya Muguli, Lancelot Pinto, Nirmala R., Neeraj Sharma, Prashant Krishnan V, Prasanta Kumar Ghosh, Rohit Kumar, Shreyas Ramoji, Shrirama Bhat, Srikanth Raj Chetupalli, Sriram Ganapathy, Viral Nanda
DiCOVA Challenge: Dataset, task, and baseline system for COVID-19 diagnosis using acoustics. CoRR (2021)
Ananya Muguli, Lancelot Pinto, Nirmala R., Neeraj Kumar Sharma, Prashant Krishnan V, Prasanta Kumar Ghosh, Rohit Kumar, Shrirama Bhat, Srikanth Raj Chetupalli, Sriram Ganapathy, Shreyas Ramoji, Viral Nanda
DiCOVA Challenge: Dataset, Task, and Baseline System for COVID-19 Diagnosis Using Acoustics. Interspeech (2021)
Srikanth Raj Chetupalli, Thippur V. Sreenivas
Directional MCLP Analysis and Reconstruction for Spatial Speech Communication. CoRR (2021)
Neeraj Sharma, Prashant Krishnan V, Rohit Kumar, Shreyas Ramoji, Srikanth Raj Chetupalli, Nirmala R., Prasanta Kumar Ghosh, Sriram Ganapathy
Coswara - A Database of Breathing, Cough, and Voice Sounds for COVID-19 Diagnosis. INTERSPEECH (2020)
Neeraj Sharma, Prashant Krishnan V, Rohit Kumar, Shreyas Ramoji, Srikanth Raj Chetupalli, Nirmala R., Prasanta Kumar Ghosh, Sriram Ganapathy
Coswara - A Database of Breathing, Cough, and Voice Sounds for COVID-19 Diagnosis. CoRR (2020)
Srikanth Raj Chetupalli, Sriram Ganapathy
Context Dependent RNNLM for Automatic Transcription of Conversations. INTERSPEECH (2020)
Srikanth Raj Chetupalli, Thippur V. Sreenivas
Clean speech AE-DNN PSD constraint for MCLP based reverberant speech enhancement. EUSIPCO (2019)
Srikanth Raj Chetupalli, Thippur V. Sreenivas
Late Reverberation Cancellation Using Bayesian Estimation of Multi-Channel Linear Predictors and Student's t-Source Prior. IEEE ACM Trans. Audio Speech Lang. Process. 27 (6) (2019)
Srikanth Raj Chetupalli, Thippur V. Sreenivas, Anand Gopalakrishnan
Comparison of low-dimension speech segment embeddings: Application to speaker diarization. NCC (2019)
Srikanth Raj Chetupalli, Anirban Bhowmick, Thippur V. Sreenivas
Ad-hoc mobile array based audio segmentation using latent variable stochastic model. EUSIPCO (2019)
Srikanth Raj Chetupalli, Thippur V. Sreenivas
Linear Prediction Based Diffuse Signal Estimation for Blind Microphone Geometry Calibration. IWAENC (2018)
Srikanth Raj Chetupalli, Thippur V. Sreenivas
LSTM based AE-DNN constraint for better late reverb suppression in multi-channel LP formulation. CoRR (2018)
Srikanth Raj Chetupalli, Anirban Bhowmick, Thippur V. Sreenivas
Latent variable approach to diarization of audio recordings using ad-hoc randomly placed mobile devices. CoRR (2018)
Neeraj Kumar Sharma, Shreepad Potadar, Srikanth Raj Chetupalli, T. V. Sreenivas
Mel-scale sub-band modelling for perceptually improved time-scale modification of speech and audio signals. NCC (2017)
Srikanth Raj Chetupalli, Thippur V. Sreenivas
Successive approximation algorithm for LPC estimation using sparse residual constraint. NCC (2015)