Thesis
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Srikanth Raj Chetupalli ‘‘Spatial Analysis and Reconstruction of Reverberant speech,’’ Doctoral thesis, Indian Institute of Science, Bangalore, 2020.
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Srikanth Raj Chetupalli, ‘‘Signal Adaptive Compressive Sensing for Speech and Audio signals,’’ Master's thesis, Indian Institute of Science, Bangalore, 2011.
Patents
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‘‘Dynamic Slimmable Neural Network for Sequential Data Processing,’’ filed July 2024.
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‘‘Channelwise Feature Reorientation and Merging with Neighboring Features for Robust Low Complexity DNN based Audio Processing,’’ filed July 2024.
Journals
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Xudong Dang, Adrian Herzog, Srikanth Raj Chetupalli, Emanuel A. P. Habets, Hongwei Liu, ‘‘SepLocNet: Multi-Speaker Localization with Separation-Guided TDOA Estimation in Wireless Acoustic Sensor Networks,’’ Applied Acoustics, Vol. 231, 2025. [Paper]
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Mohamed Elminshawi, Wolfgang Mack, Srikanth Raj Chetupalli, Soumitro Chakrabarthy, and Emanuel A.P. Habets ‘‘New insights on the role of auxiliary information in target speaker extraction,’’ Frontiers in Signal Processing, Vol. 4, 2024. [Paper]
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Mohamed Elminshawi, Srikanth Raj Chetupalli, and Emanuel A.P. Habets ‘‘Dynamic slimmable Network for Speech Separation,’’ IEEE Signal Processing Letters, vol. 31, pp. 2205-2209, 2024. [Paper]
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Adrian Herzog, Srikanth Raj Chetupalli and Emanuel A. P. Habets ‘‘AmbiSep: Joint Ambisonic-to-Ambisonic Speech Separation and Noise Reduction,’’ IEEE/ACM transactions on Audio, Speech and Language Processing, 2023. [Paper] [Demo]
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Srikanth Raj Chetupalli, Emanuel A. P. Habets ‘‘Speaker counting and separation from single-channel noisy mixtures,’’ IEEE/ACM transactions on Audio, Speech and Language Processing, 2023. [Paper]
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Debarpan Bhattacharya, Neeraj Sharma, Debottam Dutta, Srikanth Raj Chetupalli, Pravin Mote, Sriram Ganapathy, Chandrakiran C, Sahiti Nori, Suhail K K, Sadhana Gonuguntla, and Murali Alagesan, ‘‘Coswara: A respiratory sounds and symptoms dataset for remote screening of SARS-CoV-2 infection,’’ Nature scientific data, 2023. [Paper]
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Srikanth Raj Chetupalli, Prashant Krishnan, Neeraj Sharma, Ananya Muguli, Rohit Kumar, Viral Nanda, Lancelot Mark Pinto, Prasanta Kumar Ghosh, and Sriram Ganapathy, ‘‘Multi-modal point-of-care diagnostics for covid-19 based on acoustics and symptoms,’’ IEEE Journal of Translational Engineering in Health and Medicine, 11:199–210, 2023. [Paper] [Demo]
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Neeraj Kumar Sharma, Ananya Muguli, Prashant Krishnan, Rohit Kumar, Srikanth Raj Chetupalli, and Sriram Ganapathy, ‘‘Towards sound-based testing of covid-19 summary of the first diagnostics of covid-19 using acoustics (DiCOVA) challenge,’’ Computer Speech & Language, 73:101320, 2022. [Paper]
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Srikanth Raj Chetupalli, and T. V. Sreenivas, ‘‘Late Reverberation Cancellation Using Bayesian Estimation of Multi-Channel Linear Predictors and Student's t-Source Prior,’’ IEEE/ACM Transactions on Audio, Speech, and Language Processing, Vol. 27, No. 6, Mar 2019. [Paper]
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Srikanth Raj Chetupalli, T. V. Sreenivas, ‘‘Joint Bayesian Estimation of Time-Varying LP Parameters and Excitation for Speech,’’ IEEE Signal Processing Letters, Vol 24, No. 4, April 2017. [Paper]
Conferences
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Weilong Huang, Mhd Modar Halimeh, Srikanth Raj Chetupalli, Oliver Thiergart, Emanuel A. P. Habets, ‘‘Steerable Neural Directional Filtering,’’ Forum Acusticum, EuroNoise, 2025.
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Nagasree K.S.R, Srikanth Raj Chetupalli, Shrishti Saha, Emanuel A. P. Habets, Oliver Thiergart, ‘‘Low-Complexity Neural Speech Derevereberation with adaptive target control,’’ in Proc. International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2025. [Paper] [Demo]
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Srikanth Raj Chetupalli, Emanuel A. P. Habets, ‘‘A Unified Approach to Speaker Separation and Target Speaker Extraction Using Encoder-Decoder Based Attractors,’’ in Proc. International Workshop on Acoustic Signal Enhancement (IWAENC), 2024. [Paper]
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Julian Wechsler, Srikanth Raj Chetupalli, Mhd Modar Halimeh, Oliver Thiergart, Emanuel A. P. Habets, ‘‘Neural Directional Filtering: Far-Field Directivity Control with a Small Microphone Array,’’ in Proc. International Workshop on Acoustic Signal Enhancement (IWAENC), 2024. Recipient of the best student paper award (second place). [Paper] [Demo]
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Srikanth Korse, Mohamed Elminshawi, Emanuel A. P. Habets, and Srikanth Raj Chetupalli, ‘‘Training Strategies for Modality Dropout Resilient Multi-Modal Target Speaker Extraction,’’ in Proc. Workshop on handsfree speech communication and microphone arrays (HSCMA), 2024. [Paper]
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Ahmad Aloradi, Mohamed Elminshawi, Srikanth Raj Chetupalli, Emanuel A. P. Habets, ‘‘Target-Speaker Voice Activity Detection in Multi-Talker Scenarios: An Empirical Study,’’ in Proc. ITG Conference on Speech Communication, 2023. [Paper]
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Mohamed Elminshawi, Srikanth Raj Chetupalli and Emanuel A. P. Habets, ‘‘Slim-TasNet: A Slimmable Neural Network for Speech Separation,’’ in Proc. Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), 2023. [Paper]
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Julian Wechsler, Wolfgang Mack, Srikanth Raj Chetupalli and Emanuel A. P. Habets, ‘‘Multi-microphone speaker separation by spatial regions,’’ in Proc. International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023. [Paper] [Demo]
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Mohamed Elminshawi, Srikanth Raj Chetupalli and Emanuel A. P. Habets, ‘‘Beamformer-guided target speaker extraction,’’ in Proc. International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023. [Paper] [Demo] [Show-and-Tell]
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Adrian Herzog, Srikanth Raj Chetupalli and Emanuel A. P. Habets, ‘‘AmbiSep: Ambisonic-to-Ambisonic Reverberant Speech Separation Using Transformer Networks,’’ in Proc. International Workshop on Acoustic Signal Enhancement (IWAENC), pp. 1-5, 2022. [Paper] [Demo]
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Srikanth Raj Chetupalli and Emanuel A.P. Habets, ‘‘Speech Separation for an Unknown Number of Speakers Using Transformers with Encoder-Decoder Attractors,’’ Interspeech, pages 5393–5397, 2022. [Paper] [Demo]
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Srikanth Raj Chetupalli and Sriram Ganapathy, ‘‘Speaker conditioned acoustic modeling for multi-speaker conversational ASR,’’ Interspeech, pp. 3834–3838, 2022. [Paper]
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Debarpan Bhattacharya, Debottam Dutta, Neeraj Kumar Sharma, Srikanth Raj Chetupalli, Pravin Mote, Sriram Ganapathy, Chandrakiran C, Sahiti Nori, Suhail K K, Sadhana Gonuguntla, and Murali Alagesan, ‘‘Coswara: A website application enabling COVID-19 screening by analysing respiratory sound samples and health symptoms,’’ Interspeech, pages 1957–1958, 2022. [Paper]
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Debarpan Bhattacharya, Debottam Dutta, Neeraj Sharma, Srikanth Raj Chetupalli, Pravin Mote, Sriram Ganapathy, Chandrakiran C, Sahiti Nori, Suhail K K, Sadhana Gonuguntla, and Murali Alagesan, ‘‘Analyzing the impact of SARS-CoV-2 variants on respiratory sound signals,’’ Interspeech, pages 2473–2477, 2022. [Paper]
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N. K. Sharma, Srikanth Raj Chetupalli, D. Bhattacharya, D. Dutta, P. Mote and S. Ganapathy, ‘‘The Second Dicova Challenge: Dataset and Performance Analysis for Diagnosis of Covid-19 Using Acoustics,’’ in Proc. International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 556-560, 2022. [Paper] [Data]
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Prachi Singh, Rajat Varma, Venkat Krishnamohan, Srikanth Raj Chetupalli, Sriram Ganapathy, ‘‘LEAP Submission for the Third DIHARD Diarization Challenge,’’ Interspeech, pages 3545-3549, 2021. [Paper]
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Ananya Muguli, Lancelot Pinto, Neeraj Sharma, Prashant Krishnan, 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,’’ Interspeech, pages 901-905, 2021. [Paper]
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Flavio Avila, Amir H. Poorjam, Deepak Mittal, Charles Dognin, Ananya Muguli, Rohit Kumar, Srikanth Raj Chetupalli, Sriram Ganapathy, and Maneesh Singh, ‘‘Investigating Feature Selection and Explainability for COVID-19 Diagnostics from Cough Sounds,’’ Interspeech, pages 951–955, 2021. [Paper]
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Srikanth Raj Chetupalli and Sriram Ganapathy, ‘‘Context Dependent RNNLM for Automatic Transcription of Conversations,’’ Interspeech, pages 886-890, 2020. [Paper]
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Neeraj Sharma, Prashant Krishnan, Rohit Kumar, Shreyas Ramoji, Srikanth Raj Chetupalli, Nirmala R, Prasanta Ghosh and Sriram Ganapathy, ‘‘Coswara - A Database of Breathing, Cough, and Voice Sounds for COVID-19 Diagnosis,’’ Interspeech, pages 4811-4815, 2020. [Paper]
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Srikanth Raj Chetupalli, and T. V. Sreenivas, ‘‘Clean speech AE-DNN PSD constraint for MCLP based reverberant speech enhancement,’’ European Signal Processing Conference (EUSIPCO), Coruna, Spain, 2-6 Sep, 2019. [Paper]
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Srikanth Raj Chetupalli, Anirban Bhowmick, and T. V. Sreenivas, ‘‘Ad-hoc mobile array based audio segmentation using latent variable stochastic model,’’ European Signal Processing Conference (EUSIPCO), Coruna, Spain, 2-6 Sep, 2019. [Paper]
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Srikanth Raj Chetupalli, T. V. Sreenivas, and Anand Gopalakrishnan, ‘‘Comparison of low-dimension speech segment embeddings: Application to speaker diarization,’’ National conference on communications (NCC), Bangalore, India, 20-23 Feb, 2019. [Paper]
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Srikanth Raj Chetupalli, and T. V. Sreenivas, ‘‘Linear Prediction Based Diffuse Signal Estimation for Blind Microphone Geometry Calibration,’’ International workshop on Acoustic signal enhancement (IWAENC), Tokyo, Japan, 17-20 Sep, 2018. [Paper]
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Srikanth Raj Chetupalli, Ashwin Ram and T. V. Sreenivas, ‘‘Robust offline trained neural network for TDOA based sound source localization,’’ National Conference on Communications (NCC), IIT Hyderabad, India, 25-28 Feb, 2018. [Paper]
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Amit Kumar Verma, Hemendra Tomar, Srikanth Raj Chetupalli, and T. V. Sreenivas, ‘‘Non-Linear Filtering for Feature Enhancement of Reverberant Speech,’’ IEEE TECON 2017, Penang, Malaysia, 5-8 Nov, 2017. [Paper]
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Neeraj 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,’’ National Conference on Communications, Chennai, India, 2-4 Mar, 2017. [Paper]
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Srikanth Raj Chetupalli, Anand Gopalakrishnan, and T. V. Sreenivas, ‘‘Feature Selection and Model Optimization for Semi-supervised Speaker Spotting,’’ European Signal Processing Conference (EUSIPCO), Budapest, Hungary, Aug 29-Sep 2, 2016. [Paper]
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Srikanth Raj Chetupalli, and T. V. Sreenivas, ‘‘Successive Approximation Algorithm for LPC Estimation Using Sparse Residual Constraint,’’ National Conference on Communication (NCC), Mumbai, India, Feb 27-Mar 1, 2015. [Paper]
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Srikanth Raj Chetupalli, and T. V. Sreenivas, ‘‘Time Varying Linear Prediction using Sparsity Constraints,’’ IEEE International Conference on Acoustics, Speech, and Signal Processing, Florence, Italy, 4-9 May, 2014. [Paper]
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Ch. Srikanth Raj, and T. V. Sreenivas, ‘‘Joint Pitch-Analysis Formant-Synthesis framework for CS recovery of speech,’’ in Proc. of INTERSPEECH, Portland Oregon, USA, 9-13 Sep, 2012. [Paper]
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Ch. Srikanth Raj, and T. V. Sreenivas, ‘‘Time-varying signal adaptive transform and IHT recovery of compressive sensed speech,’’ in Proc. of INTERSPEECH, Florence, Italy, 28-31 Aug, 2011. [Paper]
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Ch. Srikanth Raj, and T. V. Sreenivas, ‘‘Compressive Sensing for Music signals: Comparison of transforms with coherent dictionaries,’’ in Proc. of 42nd AES International Conference, Ilmenau, Germany, 22-24 Jul, 2011. [Paper]
Preprints
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Srikanth Raj Chetupalli and Thippur V Sreenivas, ‘‘Directional MCLP Analysis and Reconstruction for Spatial Speech Communication,’’ arXiv preprint arXiv:2109.04544, 2021. [Preprint]
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Srikanth Raj Chetupalli, and T. V. Sreenivas, ‘‘Joint spatial filter and time-varying MCLP for dereverberation and interference suppression of a dynamic/static speech source,’’ arXiv preprint arXiv:1910.09782, 2019. [Preprint]
