Publications

Google Scholar page can be found here

Thesis

  • P.Singh, "Graph Clustering Approaches for Speaker Diarization of Conversational Speech", Indian Institute of Science, Feb. 2024.

  • Anurenjan P.R., "Dereverberation of Speech Using Autoregressive Models of Sub-band Envelopes", Indian Institute of Science, Sep. 2023.

  • S.Ramoji, "Supervised Learning Approaches for Language and Speaker Recognition", Indian Institute of Science, July 2023.

  • P. Agrawal, " Neural Representation Learning for Speech and Audio Signals", Indian Institute of Science, Jan. 2021.

  • S. Ganapathy, "Signal Analysis using Autoregressive Models of Amplitude Modulation ", Johns Hopkins University, Jan. 2012.

    Tutorials, Keynotes, Defense and Colloquia

  • P.Singh, "Graph Clustering Approaches for Speaker Diarization of Conversational Speech", Thesis Defense Talk, February 2024. [Slides]

  • Anurenjan P.R., "Dereverberation of Speech Using Autoregressive Models of Sub-band Envelopes", Thesis Defense Talk, September 2023. [Slides]

  • P. Singh, "Graph Clustering approaches for Speaker Diarization of Conversational Speech", Thesis Colloquium Talk, July 2023.[Slides]

  • A. Soman, "Investigating Neural Mechanisms of Word Learning and Speech Perception", Thesis Colloquium Talk, July 2023.

  • S. Ramoji, "Supervised Approaches for Language and Speaker Recognition", Thesis Defense Talk, July 2023. [Slides]

  • P. Agrawal, "Neural Representation Learning for Speech and Audio Signals", Thesis Defense Talk, January 2021. [Video]

  • P. Agrawal, "Neural Representation Learning of Speech and Audio Signals", Thesis Colloquium Talk, July 2020. [Video] [Slides]

  • S. Ganapathy, "Speaker and Language Recognition - From Laboratory Technologies to the Wild", Invited Perspective Keynote Talk, Interspeech 2018.

  • S. Ganapathy and S. Thomas, "The Art and Science of Speech Feature Engineering", Interspeech, Singapore, Sept. 2014.

    Journals

  • Varun Krishna, Tarun Sai, Sriram Ganapathy, "Representation Learning With Hidden Unit Clustering For Low Resource Speech Applications," IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2023.

  • Anurenjan Purushothaman, Debottam Dutta, Rohit Kumar, Sriram Ganapathy, "Speech Dereverberation with Frequency Domain Autoregressive Modeling," IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2023.

  • S. R. Chetupalli, P. Krishnan, N.K.Sharma, A.Muguli, R.Kumar, V.Nanda, L.M.Pinto, P.K.Ghosh, S. Ganapathy, "Multi-Modal Point-of-Care Diagnostics for COVID-19 Based on Acoustics and Symptoms," IEEE Journal of Translational Engineering in Health and Medicine, 2023.

  • D. Bhattacharya, N. K. Sharma, D. Dutta, S. R. Chetupalli, P. Mote, S. Ganapathy, S. Nori, S. Gonuguntla, M. Alagesan, "Coswara: A respiratory sounds and symptoms dataset for remote screening of SARS-CoV-2 infection," Nature Scientific Data, 2023.

  • Ramoji, Shreyas, Prashant Krishnan, and Sriram Ganapathy, " PLDA inspired Siamese networks for speaker verification ," Computer Speech and Language, 2022.

  • Akshara Soman, Prathibha Ramachandran, and Sriram Ganapathy, " ERP Evidences of Rapid Semantic Learning In Foreign Language Word Comprehension ," Frontiers in Neuroscience, 2022. [Data]

  • Neeraj Kumar Sharma, Ananya Muguli, Prashant Krishnan, 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 ," Elsevier Journal on Computer, Speech and Language, 2022.

  • Purushothaman, A., Sreeram, A., Kumar, R., & Ganapathy, S, " Dereverberation of Autoregressive Envelopes for Far-field Speech Recognition ," Elsevier Journal on Computer, Speech and Language, 2021. [Code]

  • JR Katthi, S. Ganapathy, " Deep Correlation Analysis for Audio-EEG Decoding ," IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2021. [Code]

  • P. Singh, S. Ganapathy, "Self-supervised Representation Learning With Path Integral Clustering For Speaker Diarization," IEEE Transactions and Audio, Speech and Language Processing, 2021. [Code]

  • N. Sharma, V. Krishnamohan, S. Ganapathy, A. Gangopadhyay, L. Fink "Acoustic and linguistic features influence talker change detection", Journal of Acoustic Society of America (JASA) - Express Letters, EL414, Oct. 2020.

  • P. Agrawal, S. Ganapathy, "Interpretable Representation Learning for Speech and Audio Signals Based on Relevance Weighting," IEEE Transactions and Audio, Speech and Language Processing, 2020. [Code]

  • S. Babu, D. Vijayasenan and S. Ganapathy, "Automatic Speaker Profiling from Short Duration Speech Data", Elsevier Speech Communications, April 2020.

  • B. Padi, A. Mohan and S. Ganapathy, "Towards Relevance and Sequence Modeling in Language Recognition", IEEE Transactions on Audio, Speech and Language Processing, March, 2020.
    • [Code]

  • S. Ramoji and S. Ganapathy, "Supervised I-vector Modeling for Language and Accent Recognition", Elsevier Journal on Computer, Speech and Language, Oct. 2019.

  • A. Kanagasundaram, S. Sridharan, S. Ganapathy and C. Fookes, "A Study on Pairwise LDA for X-vector based Speaker Recognition", IET Electronic Letters, (2019).

  • P. Agrawal and S. Ganapathy, "Modulation Filter Learning Using Deep Variational Networks for Robust Speech Recognition", IEEE Journal of Selected Topics in Signal Processing (J-STSP), Special Issue on Data Science: Machine Learning for Audio Signal Processing, April 2019. [Code]

  • A. Soman, Madhavan C. R., K. Sarkar, and S. Ganapathy, "An EEG Study On The Brain Representations in Language Learning", IOP Journal on Biomedical Physics and Engineering Express, 5(2), 25041, (2019).

  • N. Sharma, S. Ganesh, S. Ganapathy and L. Holt, "Talker change detection: A comparison of human and machine performance", Journal of Acoustical Society of America, December 2018. [Code]

  • V. S. Kadimesetty, S. Gutta, S. Ganapathy, and P. K. Yalavarthy, "Convolutional Neural Network based Robust Denoising of Low-Dose Computed Tomography Perfusion Maps", IEEE Transactions on Radiation and Plasma Medical Sciences, August 2018.

  • S. Gutta, V.S. Kadimesetty, S. K. Kalva, M. Pramanik, S. Ganapathy and P. K. Yalavarthy, "Deep Neural Network Based Bandwidth Enhancement of Photoacoustic Data", Journal of Biomedical Optics, October 2017.

  • G. Kocavs, L. Toth, D. V. Compernolle and S. Ganapathy , "Increasing the Robustness of CNN Acoustic Models using ARMA Spectrogram Features and Channel Dropout", Elsevier Pattern Recognition Letters, September 2017.

  • P. Agrawal and S. Ganapathy, "Unsupervised Modulation Filter Learning for Noise-Robust Speech Recognition", Journal of Acoustical Society of America, Sept. 2017. [Code]

  • S. Ganapathy, "Multi-variate Autoregressive Spectrogram Modeling for Noisy Speech Recognition", IEEE Signal Processing Letters, July 2017.

  • S. Ganapathy and M. Omar, "Auditory Motivated Front-end for Noisy Speech Using Spectro-temporal Modulation Filtering", Journal of Acoustical Society of America, EL343-349, Vol. 136(5), Nov. 2014.

  • S. Ganapathy, H. Mallidi and H. Hermansky, "Robust Feature Extraction Using Modulation Filtering of Autoregressive Models", IEEE Transactions on Audio, Speech and Language Processing, Vol. 22(8), pp. 1285-1295, Aug. 2014.

  • S. Ganapathy and J. Pelecanos, "Enhancing Frequency Shifted Speech Signals in Single Side Band Communication", IEEE Signal Processing Letters, Vol. 20(12), pp. 1231-1234, Oct. 2013.

  • S. Ganapathy and H. Hermansky, "Temporal Resolution Analysis in Frequency Domain Linear Prediction", Journal of Acoustical Society of America, EL436-442, Vol. 132(5), Oct. 2012.

  • S. Ganapathy, S. Thomas and H. Hermansky, "Temporal envelope compensation for robust phoneme recognition using modulation spectrum ", Journal of Acoustical Society of America, Vol. 128(6), pp. 3769-3780, Dec. 2010.

  • S. Ganapathy, P. Motlicek and H. Hermansky, "Autoregressive Models Of Amplitude Modulations In Audio Compression", IEEE Transactions on Audio, Speech and Language Processing, Vol. 18(6), pp.1624-1631, Aug. 2010.

  • P. Motlicek, S. Ganapathy, H. Hermansky and H. Garudadri,"Wide-Band Audio Coding based on Frequency Domain Linear Prediction", EURASIP Journal on Audio, Speech, and Music Processing, Vol. 2010 (3), pp. 1-14, Jan. 2010.

  • S. Ganapathy, S. Thomas and H. Hermansky, "Modulation Frequency Features For Phoneme Recognition In Noisy Speech", Journal of Acoustical Society of America, EL8-12, Vol. 125(1), Jan. 2009.

  • S. Thomas, S. Ganapathy and H. Hermansky, "Recognition Of Reverberant Speech Using Frequency Domain Linear Prediction", IEEE Signal Processing Letters, Vol. 15, pp. 681-684, Dec 2008.

    Conferences

  • Soumya Dutta and Sriram Ganapathy, "Zero Shot Audio to Audio to Audio Emotion Transfer with Speaker Disentanglement",ICASSP 2024, Seoul, South Korea.[Code]

  • M.Thakkar, T.Bolukbasi, S.Ganapathy, S.Vashishth, S.Chandar, P.Talukdar, "Self-Influence Guided Data Reweighting for Language Model Pre-training",EMNLP 2023, Singapore.

  • D.Prabhu, P.Jyothi, S.Ganapathy, V.Unni, "Accented Speech Recognition With Accent-specific Codebooks",EMNLP 2023, Singapore.

  • A.Raj, S. Bharadwaj, S. Ganapathy, M. Ma, S.Vashishth, "MASR:Multi-Label Aware Speech Representation",IEEE ASRU 2023, Taiwan.

  • Varun Krishna and Sriram Ganapathy, "Pseudo-Label Based Supervised Contrastive Loss for Robust Speech Representations",IEEE ASRU 2023, Taiwan.

  • S. Vashishth, S. Bharadwaj, S. Ganapathy, A. Bapna, M. Ma, W. Han, V. Axelrod, P. Talukdar, "Label Aware Speech Representation Learning For Language Identification",Interspeech 2023, Dublin, Ireland.

  • Akshara Soman, Vidhi Sinha, and Sriram Ganapathy, "Enhancing the EEG Speech Match-Mismatch Tasks With Word Boundaries",Interspeech 2023, Dublin, Ireland.[Code]

  • S. Baghel, S. Ramoji, Sidharth, Ranjana H, P. Singh, S. Jain, P. R. Chowdhuri, K. Kulkarni, S. Padhi, D. Vijayasenan and S. Ganapathy, "DISPLACE Challenge: DIarization of SPeaker and LAnguage in Conversational Environments",Interspeech 2023, Dublin, Ireland.

  • Prachi Singh , Amrit Kaul and Sriram Ganapathy, "Supervised Hierarchical Clustering Using Graph Neural Networks for Speaker Diarization",ICASSP 2023, Rhodes Island, Greece.

  • Debottam Dutta , Debarpan Bhattacharya , Sriram Ganapathy, Amir H. Poorjam, Deepak Mittal, and Maneesh Singh, "Interpretable Acoustic Representation Learning on Breathing and Speech Signals for COVID-19 Detection",Interspeech 2022, Incheon, South Korea.

  • 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, "Analyzing the impact of SARS-CoV-2 variants on respiratory sound signals",Interspeech 2022, Incheon, South Korea.

  • 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 2022, Incheon, South Korea.

  • Soumya Dutta and Sriram Ganapathy, "Multimodal Transformer with Learnable Frontend and Self Attention for Emotion Recognition", ICASSP 2022, Singapore.[Code]

  • Neeraj Kumar Sharma, Srikanth Raj Chetupalli, Debarpan Bhattacharya, Debottam Dutta, Pravin Mote, and Sriram Ganapathy, "The Second DiCOVA Challenge: Dataset and performance analysis for Diagnosis of COVID-19 using acoustics ", ICASSP 2022, Singapore.

  • Rohit Kumar, Anurenjan Purushothaman, Anirudh Sreeram, and Sriram Ganapathy, "End-to-end speech recognition with joint dereverberation of sub-band autoregressive envelopes",ICASSP 2022, Singapore.[Code]

  • Varun Krishna PS and Sriram Ganapathy, "Self Supervised Representation Learning with Deep Clustering for Acoustic Unit Discovery from Raw Speech", ICASSP 2022, Singapore. [Code]

  • P. Singh and S. Ganapathy, "Self-Supervised Metric Learning With Graph Clustering For Speaker Diarization", ASRU 2021, Cartagena.[Code]

  • A. Flavio, A. Poorjam, D. Mittal, C. Dognin, A. Muguli, R. Kumar, S. R. Chetupalli, S. Ganapathy and M. Singh, "Investigating the Feature Selection and Explainability of COVID-19 Diagnostics from Cough Sounds", Interspeech 2021, Brno, Czech Republic.

  • P. Singh, R. Varma, V. Krishnamohan, S. R. Chetupalli and S. Ganapathy, "LEAP Submission for the Third DIHARD Diarization Challenge", Interspeech 2021, Brno, Czech Republic.[Video][PPT]

  • P. R. Gudepu, R. Kumar, M. K. Jayesh, A. Purushothaman, S. Ganapathy and M. A. Basha, "SRIB-LEAP lab submission to Far-field Multi-Channel Speech Enhancement Challenge for Video Conferencing", Interspeech 2021, Brno, Czech Republic.

  • N. Ryant, P. Singh, V. Krishnamohan, R. Varma, K. Church, C. Cieri, J. Du, S. Ganapathy and M. Liberman, "The Third DIHARD Diarization Challenge", Interspeech 2021, Brno, Czech Republic.

  • A. Muguli, L. Pinto, R. Nirmala, N. Sharma, P. Krishnan, P. Ghosh, R. Kumar, S. Bhat, S. R. Chetupalli, S. Ganapathy, S. Ramoji and V. Nanda,"“DiCOVA Challenge: Dataset, task, and baseline system for COVID-19 diagnosis using acoustics”", Interspeech 2021, Brno, Czech Republic.

  • D. Dutta, P. Agrawal, and S. Ganapathy,"“A Multi-Head Relevance Weighting Framework for Learning Raw Waveform Audio Representations”, ", WASPAA 2021, New York, USA.

  • Kalluri, S. B., Vijayasenan, D., Ganapathy, S., & Krishnan, P. ,"NISP: A Multi-lingual Multi-accent Dataset for Speaker Profiling", ICASSP 2021, Toronto.

  • Katthi, J. R., & Ganapathy, S.,"Deep Multiway Canonical Correlation Analysis For Multi-Subject Eeg Normalization.", ICASSP 2021, Toronto.

  • Basak, S., Agarwal, S., Ganapathy, S., & Takahashi, N.,"End-to-End Lyrics Recognition with Voice to Singing Style Transfer ", ICASSP 2021, Toronto.

  • P. Agrawal and S. Ganapathy,"Representation Learning For Speech Recognition Using Feedback Based Relevance Weighting", ICASSP 2021, Toronto, 2020.

  • N. Sharma, P. Krishnan, R. Kumar, S. Ramoji, S. R. Chetupalli, R. Nirmala, P. K. Ghosh and S. Ganapathy,"Coswara -- A Database of Breathing, Cough, and Voice Sounds for COVID-19 Diagnosis ", Interspeech 2020, Beijing, October 2020 [Dataset]

  • S. Ramoji, P. Krishnan and S. Ganapathy,"Neural PLDA Modeling for End-to-end Speaker Verification", Interspeech 2020, Beijing, October 2020 [Code]

  • P. Agrawal and S. Ganapathy,"Robust Raw Waveform Speech Recognition Using Relevance Weighted Representations", Interspeech 2020, Beijing, October 2020.

  • V. Krishnamohan, A. Soman, A. Gupta and S. Ganapathy,"Audiovisual Correspondence Learning in Humans And Machines", Interspeech 2020, Beijing, October 2020.

  • A. Purushothaman, A. Sreeram, R. Kumar and S. Ganapathy,"Deep Learning Based Dereverberation of Temporal Envelopes for Robust Speech Recognition", Interspeech 2020, Beijing, October 2020.

  • P. Singh and S. Ganapathy,"Deep Self-Supervised Hierarchical Clustering for Speaker Diarization", Interspeech 2020, Beijing, October 2020.

  • S. R. Chetupalli and S. Ganapathy,"Context Dependent RNNLM for Automatic Transcription of Conversations", Interspeech 2020, Beijing, October 2020.

  • J. Reddy and S. Ganapathy,"Deep Canonical Correlation Analysis For Decoding The Auditory Brain", IEEE EMBC, Toronto, Canada, July 2020.

  • S. Ramoji, P. Krishnan, and S. Ganapathy,"NPLDA: A Deep Neural PLDA Model for Speaker Verification", Speaker Odyssey Workshop, November, 2020.

  • S. Ramoji, P. Krishnan, B. Mysore, P. Singh and S. Ganapathy,"LEAP System for SRE19 Challenge -- Improvements and Error Analysis", Speaker Odyssey Workshop, November, 2020.

  • N. Sharma, V. Krishnamohan, S. Ganapathy, A. Gangopadhayay and L. Fink "On The Impact of Language Familiarity In Talker Change Detection", ICASSP 2020.

  • A. Purushothaman, A. Sreeram and S. Ganapathy "3-D Feature and Acoustic Modeling for Far-Field Speech Recognition", ICASSP 2020.

  • R. Kumar, A. Sreeram, A. Purushothaman and S. Ganapathy "Unsupervised Neural Mask Estimator For Generalized Eigen-Value Beamforming Based ASR", ICASSP 2020.

  • N. Takahashi, M. Singh, S. Basak, P. Sudarsanam, S. Ganapathy, Y. Mitsufuji "Improving Voice Separation by Incorporating End-to-end Speech Recognition", ICASSP 2020.

  • K. Praveen, A. Gupta, A. Soman and S. Ganapathy "Second Language Transfer Learning in Humans and Machines Using Image Supervision", IEEE ASRU, Dec. 2019.

  • S. Bansal, K. Malhotra, S. Ganapathy"Speaker and Language Aware Training for End-to-End ASR", IEEE ASRU, Dec. 2019.

  • N. Ryant, K. Church, C. Cieri, A. Cristia, J. Du, S. Ganapathy and M. Liberman, "The Second DIHARD Diarization Challenge: Dataset - task - and baselines", INTERSPEECH, Sept. 2019, Austria.

  • P. Singh, Harsha Vardhan M A, S. Ganapathy and A. Kanagasundaram, "LEAP Diarization System for the Second DIHARD Challenge", INTERSPEECH, Sept. 2019, Austria.

  • B. Padi, A. Mohan and S. Ganapathy, "Attention based Hybrid I-vector BLSTM Model for Language Recognition", INTERSPEECH, Sept. 2019, Austria.

  • K. Malhotra, S. Bansal and S. Ganapathy, "Active Learning Methods for Low Resource End-To-End Automatic Speech Recognition", INTERSPEECH, Sept. 2019, Austria.

  • P. Agrawal and S. Ganapathy, "Unsupervised Raw Waveform Representation Learning for ASR", INTERSPEECH, Sept. 2019, Austria.

  • A. Kanagasundaram, S. Sridharan, S. Ganapathy and P. Singh, "A Study of X-vector Based Speaker Recognition on Short Utterances", INTERSPEECH, Sept. 2019, Austria.

  • S. Ramoji, A. Mohan, B. Mysore, A. Bhatia, P. Singh, Harsha Vardhan M A and S. Ganapathy, "The LEAP Speaker Recognition System for NIST SRE 2018 Challenge", ICASSP, 2019.

  • N. Sharma, S. Ganesh, S. Ganapathy and L. Holt, "Analyzing human reaction time for talker change detection", ICASSP, 2019.[Code]

  • P. Agrawal and S. Ganapathy, "Deep variational filter learning models for speech recognition", ICASSP, 2019.

  • S. Babu, D. Vijayasenan and S. Ganapathy, "A Deep Neural Network Based End-to-End Model for Joint Height And Age Estimation From Short Duration Speech", ICASSP, 2019.

  • B. Padi, A. Mohan and S. Ganapathy, "End-to-end language recognition using attention based hierarchical gated recurrent unit models", ICASSP, 2019.[Code]

  • S. Ramoji and S. Ganapathy, "Supervised i-vector modeling - Theory and Applications", INTERSPEECH, 2018.

  • P. Agrawal and S. Ganapathy, "Comparison of unsupervised modulation filter learning methods for ASR", INTERSPEECH, 2018.

  • N. Takahashi, P. Agrawal, N. Goswami and Y. Mitsufuji, "PhaseNet: Discretized phase modeling with deep neural networks for audio source separation", INTERSPEECH, 2018.

  • A. Cristia, S. Ganesh, M. Casillas and S. Ganapathy, "Talker diarization in the wild: The case of child-centered daylong audio-recordings", INTERSPEECH, 2018.

  • R. Kumar, V. Yeruva and S. Ganapathy, "On Convolutional LSTM Modeling for Joint Wake-Word Detection and Text Dependent Speaker Verification", INTERSPEECH, 2018.

  • S. Ganapathy and M. Harish, "Far-Field Speech Recognition Using Multivariate Autoregressive Models", INTERSPEECH, 2018.

  • B. Padi, S. Ramoji, V. Yeruva, S. Kumar and S. Ganapathy, "The LEAP Language Recognition System for LRE 2017 Challenge - Improvements and Error Analysis", Odyssey: The speaker and language recognition workshop, 2018.

  • N. Sajjan, S. Ganesh, N. Sharma, S. Ganapathy and N. Ryant "Leveraging LSTM Models for Overlap Detection in Multi-Party Meetings", ICASSP, Calgary Canada, April 2018.

  • S. Ganapathy and V. Peddinti "3-D CNN Models for Far-Field Multi-Channel Speech Recognition", ICASSP, Calgary Canada, April 2018.

  • N. Ryant et al. "Enhancement and Analysis of Conversational Speech: JSALT 2017", ICASSP, Calgary Canada, April 2018.

  • Ansari T, R. Kumar, S. Singh and S. Ganapathy "Unsupervised HMM Posteriograms for Language Independent Acoustic Modeling in Zero Resource Conditions", IEEE ASRU, Dec. 2017.

  • Ansari T, R. Kumar, S. Singh, S. Ganapathy "Deep Learning Methods For Unsupervised Acoustic Modeling - LEAP Submission to ZeroSpeech Challenge 2017", IEEE ASRU, Dec. 2017.

  • A. Siddhant, P. Jyothi and S. Ganapathy "Leveraging Native Language Speech For Accent Identfication Using Deep Siamese Networks", IEEE ASRU, Dec. 2017.

  • P. Agrawal and S. Ganapathy "Speech representation learning using unsupervised data-driven modulation filtering for robust ASR", Interspeech, Stockholm, Sweden, Aug. 2017.

  • N. Kumar, R. K. Das, S. Jelil, Dhanush B K, H. Kashyap, K. S. R. Murthy, S. Ganapathy, R. Sinha and S. R. M. Prasanna "IITG-Indigo system for NIST 2016 SRE challenge", Interspeech, Stockholm, Sweden, Aug. 2017.

  • Dhanush B, Suparna S., Aarthy R., Likhita C., Shashank D., Harish H. and S. Ganapathy "Factor Analysis Methods for Joint Speaker Verification and Spoof Detection", ICASSP, New Orleans, USA, 2017.

  • S. Sadjadi, J. Pelecanos and S. Ganapathy "The IBM Speaker Recognition System: Recent Advances and Error Analysis", Interspeech, San Francisco, September, 2016.

  • D. Dimitriadis, S. Thomas and S. Ganapathy, "An investigation on the use of ivectors for improved ASR robustness", Interspeech, San Francisco, Sept. 2016.

  • S. Sadjadi, S. Ganapathy and J. Pelecanos, "The IBM 2016 Speaker Recognition System", Odyssey, Spain, June, 2016.

  • S. Sadjadi, S. Ganapathy and J. Pelecanos, "Speaker Age Estimation On Conversational Telephone Speech Using Senone Posterior Based I-vectors", ICASSP, Shanghai, March, 2016.

  • S. Ganapathy, S. Thomas, D. Dimitriadis, S. Rennie "Investigating Factor Analysis Features for Deep Neural Networks In Noisy Speech Recognition", Interspeech, Dresden, Germany, Sept. 2015.

  • S. Ganapathy, "Robust Speech Processing Using ARMA Spectrograms", ICASSP, Brisbane, April, 2015.

  • S. Sadjadi, J. Pelecanos and S. Ganapathy, "Nearest Neighbor Discriminant Analysis for Language Recognition", ICASSP, Brisbane, April, 2015.

  • S. Ganapathy, K. J. Han, S. Thomas, M. Omar, M. V. Segbroeck and S. Narayanan, ""Robust Language Identification Using Convolutional Neural Networks", Interspeech, Singapore, Sept. 2014.

  • M. Omar and S. Ganapathy, "Shift-Invariant Features for Speech Activity Detection in Adverse Radio-Frequency Channel Conditions", ICASSP, Florence, Italy, May, 2014.

  • K. J. Han, S. Ganapathy, M Li, M. Omar and S. Narayanan, "Analyzing Convolutional Neural Networks for Speech Activity Detection in Mismatched Acoustic Conditions", ICASSP, Florence, Italy, May, 2014.

  • G. Saon, S. Thomas, H. Soltau, S. Ganapathy and B. Kingsbury, "The IBM Speech Activity Detection System for the DARPA RATS Program", Interspeech, Lyon, Aug. 2013.

  • K. J. Han, S. Ganapathy, M Li, M. Omar and S. Narayan, "TRAP Language Identification System for RATS Phase II Evaluation", Interspeech, Lyon, Aug. 2013.

  • H. Mallidi, S. Ganapathy and H. Hermansky, "Robust Speaker Recognition Using Spectro-Temporal Autoregressive Models", Interspeech, Lyon, Aug. 2013.

  • S. Ganapathy, M. Omar and J. Pelecanos, "Unsupervised Channel Adaptation For Language Identification Using Co-training", ICASSP, Vancouver, May, 2013.

  • S. Ganapathy, M. Omar and J. Pelecanos, "Noisy Channel Adaptation in Language Identification", IEEE SLT, Miami, Dec, 2012.

  • S. Ganapathy and H. Hermansky, "Robust Phoneme Recognition Using High Resolution Temporal Envelopes", Interspeech, Portland, Sept. 2012.

  • S. Thomas, S. Ganapathy, A. Jansen and H. Hermansky, "Data-driven Posterior Features for Low Resource Speech Recognition Applications", Interspeech, Portland, Sept. 2012.

  • S. Ganapathy, S. Thomas and H. Hermansky, "Feature Extraction Using 2-D Autoregressive Models For Speaker Recognition", ISCA Speaker Odyssey, June 2012.

  • S. Thomas, H. Mallidi, S. Ganapathy and H. Hermansky, "Adaptation Transforms of Auto-Associative Neural Networks as Features for Speaker Verification", ISCA Speaker Odyssey, June 2012.

  • D. Gomero et al. "The UMD-JHU 2011 Speaker Recognition System", ICASSP, Japan, Mar. 2012.

  • S. Thomas, S. Ganapathy and H. Hermansky, "Multilingual MLP Features For Low-resource LVCSR Systems", ICASSP, Japan, Mar. 2012.

  • S. Ganapathy, P. Rajan and H. Hermansky, "Multi-layer Perceptron Based Speech Activity Detection for Speaker Verification", IEEE WASPAA, Oct. 2011.

  • H. Mallidi, S. Ganapathy and H. Hermansky, "Modulation spectrum analysis for recognition of reverberant speech", Interspeech, Italy, Aug. 2011.

  • S. Ganapathy, J. Pelecanos and M. Omar, "Feature Normalization for Speaker Verification in Room Reverberation", ICASSP, Prague, May 2011.

  • S. Garimella, S. Ganapathy and H. Hermansky, "Sparse Auto-associative Neural Networks: Theory and Application to Speech Recognition", Interspeech, Japan, Sept. 2010.

  • S. Thomas, S. Ganapathy and H. Hermansky, "Cross-lingual and Multi-stream Posterior Features for Low-resource LVCSR Systems", Proc. of Interspeech, Japan, Sept. 2010.

  • S. Thomas, K. Patil, S. Ganapathy, N. Mesgarani, H. Hermansky, "A Phoneme Recognition Framework based on Auditory Spectro-Temporal Receptive Fields", Proc. of Interspeech, Japan, Sept. 2010.

  • S. Ganapathy, S. Thomas and H. Hermansky, "Robust Spectro-Temporal Features Based on Autoregressive Models of Hilbert Envelopes", ICASSP, Dallas, USA, March 2010.

  • S. Ganapathy, S. Thomas and H. Hermansky, "Comparison of Modulation Features For Phoneme Recognition", ICASSP, Dallas, USA, March 2010.

  • S. Ganapathy, S. Thomas, and H. Hermansky, "Temporal Envelope Subtraction for Robust Speech Recognition Using Modulation Spectrum", IEEE ASRU, 2009.

  • S. Ganapathy, S. Thomas, P. Motlicek and H. Hermansky, "Applications of Signal Analysis Using Autoregressive Models for Amplitude Modulation", IEEE WASPAA 2009.

  • S. Ganapathy, S. Thomas and H. Hermansky, "Static and Dynamic Modulation Spectrum for Speech Recognition", Proc. of Interspeech, Brighton, UK, Sept. 2009.

  • S. Thomas, S. Ganapathy and H. Hermansky, "Tandem Representations of Spectral Envelope and Modulation Frequency Features for ASR", Proc. of Interspeech, Brighton, UK, Sept. 2009.

  • S. Thomas, S. Ganapathy and H. Hermansky, "Phoneme Recognition Using Spectral Envelope and Modulation Frequency Features", ICASSP, Taiwan, April 2009.

  • S. Ganapathy, S. Thomas and H. Hermansky, "Front-end for Far-field Speech Recognition based on Frequency Domain Linear Prediction", Proc. of INTERSPEECH, Brisbane, Australia, Sep 2008.

  • S. Thomas, S. Ganapathy and H. Hermansky, "Hilbert Envelope Based Specto-Temporal Features for Phoneme Recognition in Telephone Speech", Proc. of INTERSPEECH, Brisbane, Australia, Sep 2008.

  • S. Ganapathy, P. Motlicek, H. Hermansky and H. Garudadri, "Spectral Noise Shaping: Improvements in Speech/Audio Codec Based on Linear Prediction in Spectral Domain", Proc. of INTERSPEECH, Brisbane, Australia, Sep 2008.

  • P. Motlicek, S. Ganapathy, H. Hermansky, H. Garudadri and Marios Athineos, "Perceptually motivated Sub-band Decomposition for FDLP Audio Coding", in Lecture Notes In Artificial Intelligence, Springer-Verlag Berlin, Heidelberg, 2008.

  • S. Thomas, S. Ganapathy and H. Hermansky, "Spectro-Temporal Features for Automatic Speech Recognition using Linear Prediction in Spectral Domain", Proc. of EUSIPCO, Lausanne, Switzerland, Aug 2008.

  • S. Ganapathy, P. Motlicek, H. Hermansky and H. Garudadri, "Autoregressive Modelling of Hilbert Envelopes for Wide-band Audio Coding", AES 124th Convention, Audio Engineering Society, May 2008.

  • S. Ganapathy, P. Motlicek, H. Hermansky and H. Garudadri, ""Temporal Masking for Bit-rate Reduction in Audio Codec Based on Frequency Domain Linear Prediction", Proc. of ICASSP, April 2008.

  • S. Thomas, S. Ganapathy and H. Hermansky, "Hilbert Envelope Based Features for Far-Field Speech Recognition", Lecture Notes in Computer Science, Springer Berlin, Heidelberg 2008.

  • P. Motlicek, H. Hermansky, S. Ganapathy and H. Garudadri, "Frequency Domain Linear Prediction for QMF Sub-bands and Applications to Audio Coding", Lecture Notes in Computer Science, Springer Berlin, Heidelberg 2007.

  • P. Motlicek, H. Hermansky, S. Ganapathy and H. Garudadri, "Non- Uniform Speech/Audio Coding Exploiting Predictability of Temporal Evolution of Spectral Envelopes", Lecture Notes in Computer Science, Springer Berlin, Heidelberg 2007.

    Patents

  • "Adaptive System Combination in Language Recognition", Oct. 2018.

  • "Spectral Noise Shaping in Audio Coding Based on Spectral Dynamics in Frequency Sub-bands", Nov. 2011.

  • Temporal Masking in Audio Coding Based on Spectral Dynamics in Frequency Sub-bands", Aug. 2009.

    • Updated