Investigating Neural Mechanisms of Word Learning and Speech Perception
A.Soman
Indian Institute of Science, April. 2024.
Publications
Last Updated: November 2025.
An up to date list of all publications can be found on Google Scholar profile.
Thesis
Graph Clustering Approaches for Speaker Diarization of Conversational Speech
P.Singh
Indian Institute of Science, Feb. 2024.
Dereverberation of Speech Using Autoregressive Models of Sub-band Envelopes
Anurenjan P.R.
Indian Institute of Science, Sep. 2023.
Supervised Learning Approaches for Language and Speaker Recognition
S.Ramoji
Indian Institute of Science, July 2023.
Neural Representation Learning for Speech and Audio Signals
P. Agrawal
Indian Institute of Science, Jan. 2021.
Signal Analysis using Autoregressive Models of Amplitude Modulation
S. Ganapathy
Johns Hopkins University, Jan. 2012.
Tutorials, Keynotes, Defense and Colloquia
Investigating Neural Mechanisms of Word Learning and Speech Perception
A.Soman
Thesis Defense Talk, February 2024.
Graph Clustering Approaches for Speaker Diarization of Conversational Speech
P.Singh
Thesis Defense Talk, February 2024.
Dereverberation of Speech Using Autoregressive Models of Sub-band Envelopes
Anurenjan P.R.
Thesis Defense Talk, September 2023.
Graph Clustering approaches for Speaker Diarization of Conversational Speech
P. Singh
Thesis Colloquium Talk, July 2023.
Investigating Neural Mechanisms of Word Learning and Speech Perception
A. Soman
Thesis Colloquium Talk, July 2023.
Supervised Approaches for Language and Speaker Recognition
S. Ramoji
Thesis Defense Talk, July 2023.
Neural Representation Learning for Speech and Audio Signals
P. Agrawal
Thesis Defense Talk, January 2021.
Speaker and Language Recognition - From Laboratory Technologies to the Wild
S. Ganapathy
Invited Perspective Keynote Talk, Interspeech 2018.
The Art and Science of Speech Feature Engineering
S. Ganapathy and S. Thomas
Interspeech, Singapore, Sept. 2014.
Journals
End-to-End Supervised Hierarchical Graph Clustering for Speaker Diarization
Prachi Singh, Sriram Ganapathy
IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2024.
Gradient-free Post-hoc Explainability Using Distillation Aided Learnable Approach
Debarpan Bhattacharya, Amir H. Poorjam, Deepak Mittal, Sriram Ganapathy
IEEE Journal of Selected Topics in Signal Processing (JSTSP)- Special Series on AI in Signal & Data Science, 2024.
Summary of the DISPLACE challenge 2023-DIarization of SPeaker and LAnguage in Conversational Environments
Baghel, Shikha, Shreyas Ramoji, Somil Jain, Pratik Roy Chowdhuri, Prachi Singh, Deepu Vijayasenan, and Sriram Ganapathy
Elsevier Speech Communication 161 (2024): 103080.
Representation Learning With Hidden Unit Clustering For Low Resource Speech Applications
Varun Krishna, Tarun Sai, Sriram Ganapathy
IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2023.
Speech Dereverberation with Frequency Domain Autoregressive Modeling
Anurenjan Purushothaman, Debottam Dutta, Rohit Kumar, Sriram Ganapathy
IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2023.
Multi-Modal Point-of-Care Diagnostics for COVID-19 Based on Acoustics and Symptoms
S. R. Chetupalli, P. Krishnan, N.K.Sharma, A.Muguli, R.Kumar, V.Nanda, L.M.Pinto, P.K.Ghosh, S. Ganapathy
IEEE Journal of Translational Engineering in Health and Medicine, 2023.
Coswara: A respiratory sounds and symptoms dataset for remote screening of SARS-CoV-2 infection
D. Bhattacharya, N. K. Sharma, D. Dutta, S. R. Chetupalli, P. Mote, S. Ganapathy, S. Nori, S. Gonuguntla, M. Alagesan
Nature Scientific Data, 2023.
PLDA inspired Siamese networks for speaker verification
Ramoji, Shreyas, Prashant Krishnan, and Sriram Ganapathy
Computer Speech and Language, 2022.
Towards sound based testing of COVID-19 -Summary of the first Diagnostics of COVID-19 using Acoustics (DiCOVA) Challenge
Neeraj Kumar Sharma, Ananya Muguli, Prashant Krishnan, Rohit Kumar, Srikanth Raj Chetupalli, Sriram Ganapathy
Elsevier Journal on Computer, Speech and Language, 2022.
Dereverberation of Autoregressive Envelopes for Far-field Speech Recognition
Purushothaman, A., Sreeram, A., Kumar, R., & Ganapathy, S
Elsevier Journal on Computer, Speech and Language, 2021.
Acoustic and linguistic features influence talker change detection
N. Sharma, V. Krishnamohan, S. Ganapathy, A. Gangopadhyay, L. Fink
Journal of Acoustic Society of America (JASA) - Express Letters, EL414, Oct. 2020.
Automatic Speaker Profiling from Short Duration Speech Data
Shareef Babu Kalluri, Deepu Vijayasenan and S. Ganapathy
Elsevier Speech Communications, April 2020.
Supervised I-vector Modeling for Language and Accent Recognition
S. Ramoji and S. Ganapathy
Elsevier Journal on Computer, Speech and Language, Oct. 2019.
A Study on Pairwise LDA for X-vector based Speaker Recognition
A. Kanagasundaram, S. Sridharan, S. Ganapathy and C. Fookes
IET Electronic Letters, (2019).
An EEG Study On The Brain Representations in Language Learning
A. Soman, Madhavan C. R., K. Sarkar, and S. Ganapathy
IOP Journal on Biomedical Physics and Engineering Express, 5(2), 25041, (2019).
Convolutional Neural Network based Robust Denoising of Low-Dose Computed Tomography Perfusion Maps
V. S. Kadimesetty, S. Gutta, S. Ganapathy, and P. K. Yalavarthy
IEEE Transactions on Radiation and Plasma Medical Sciences, August 2018.
Deep Neural Network Based Bandwidth Enhancement of Photoacoustic Data
S. Gutta, V.S. Kadimesetty, S. K. Kalva, M. Pramanik, S. Ganapathy and P. K. Yalavarthy
Journal of Biomedical Optics, October 2017.
Increasing the Robustness of CNN Acoustic Models using ARMA Spectrogram Features and Channel Dropout
G. Kocavs, L. Toth, D. V. Compernolle and S. Ganapathy
Elsevier Pattern Recognition Letters, September 2017.
Multi-variate Autoregressive Spectrogram Modeling for Noisy Speech Recognition
S. Ganapathy
IEEE Signal Processing Letters, July 2017.
Auditory Motivated Front-end for Noisy Speech Using Spectro-temporal Modulation Filtering
S. Ganapathy and M. Omar
Journal of Acoustical Society of America, EL343-349, Vol. 136(5), Nov. 2014.
Robust Feature Extraction Using Modulation Filtering of Autoregressive Models
S. Ganapathy, H. Mallidi and H. Hermansky
IEEE Transactions on Audio, Speech and Language Processing, Vol. 22(8), pp. 1285-1295, Aug. 2014.
Enhancing Frequency Shifted Speech Signals in Single Side Band Communication
S. Ganapathy and J. Pelecanos
IEEE Signal Processing Letters, Vol. 20(12), pp. 1231-1234, Oct. 2013.
Temporal Resolution Analysis in Frequency Domain Linear Prediction
S. Ganapathy and H. Hermansky
Journal of Acoustical Society of America, EL436-442, Vol. 132(5), Oct. 2012.
Temporal envelope compensation for robust phoneme recognition using modulation spectrum
S. Ganapathy, S. Thomas and H. Hermansky
Journal of Acoustical Society of America, Vol. 128(6), pp. 3769-3780, Dec. 2010.
Autoregressive Models Of Amplitude Modulations In Audio Compression
S. Ganapathy, P. Motlicek and H. Hermansky
IEEE Transactions on Audio, Speech and Language Processing, Vol. 18(6), pp.1624-1631, Aug. 2010.
Wide-Band Audio Coding based on Frequency Domain Linear Prediction
P. Motlicek, S. Ganapathy, H. Hermansky and H. Garudadri
EURASIP Journal on Audio, Speech, and Music Processing, Vol. 2010 (3), pp. 1-14, Jan. 2010.
Modulation Frequency Features For Phoneme Recognition In Noisy Speech
S. Ganapathy, S. Thomas and H. Hermansky
Journal of Acoustical Society of America, EL8-12, Vol. 125(1), Jan. 2009.
Recognition Of Reverberant Speech Using Frequency Domain Linear Prediction
S. Thomas, S. Ganapathy and H. Hermansky
IEEE Signal Processing Letters, Vol. 15, pp. 681-684, Dec 2008.
Conferences
ULTRAS - Unified Learning of Transformer Representations for Audio and Speech Signals
Ameenudeen P E, Charumathi Narayanan, S. Ganapathy
ASRU 2025, Honolulu, HI, USA.
Towards Unbiased Evaluation of Time-series Anomaly Detector
D. Bhattacharya, Sumanta Mukherjee, Chandramouli Kamanchi, Vijay Ekambaram, Arindam Jati, Pankaj Dayama
ICASSP 2025, Hyderabd, India.
ABHINAYA - A System for Speech Emotion Recognition In Naturalistic Conditions Challenge
S. Dutta, S. Balaji, R. Varada, V. Salinamakki, S. Ganapathy
Interspeech 2025, Netherlands.
Benchmarking and Confidence Evaluation of LALMs For Temporal Reasoning
D. Bhattacharya, A. Kulkarni, S. Ganapathy
Interspeech 2025, Netherlands.
Spoken Language Understanding on Unseen Tasks With In-Context Learning
N. Agarwal, S. Ganapathy
Interspeech 2025, Netherlands.
LLM supervised Pre-training for Multimodal Emotion Recognition in Conversations
Soumya Dutta, Sriram Ganapathy
ICASSP 2025, Hyderabad, India.
Identifying and Mitigating Mismatched Language Code in Multilingual ASR
J. Kim, S. Mavandadi, K. Audhkhasi, S. Bharadwaj, B. Farris, T. Chen, B. Ramabhadran, S. Ganapathy
ICASSP 2025, Hyderabad, India.
Enhancing Customer Service Chatbots with Context-Aware NLU through Selective Attention and Multi-task Learning
Subhadip Nandi, Neeraj Agrawal, Anshika Singh, Priyanka Bhatt
CODS-COMAD 2024, Jodhpur, India.
Improving Few-Shot Cross-Domain Named Entity Recognition by Instruction Tuning a Word-Embedding based Retrieval Augmented Large Language Model
Subhadip Nandi, Neeraj Agrawal
EMNLP 2024, Florida.
Improving Self-supervised Pre-training using Accent-Specific Codebooks
D. Prabhu, A. Gupta, O. Nitsure, P. Jyothi, S. Ganapathy
Interspeech 2024, Kos Island, Greece.
The Second DISPLACE Challenge : DIarization of SPeaker and LAnguage in Conversational Environment
S. B. Kalluri, P. Singh, P.R. Chowdhuri, A. Kulkarni, S. Baghel, P. Hegde, S. Sontakke, Deepak K T, S.R.M. Prasanna, D. Vijayasenan, S. Ganapathy
Interspeech 2024, Kos Island, Greece.
LLM Augmented LLMs: Expanding Capabilities through Composition
Bansal, R., B. Samanta, S. Dalmia, N. Gupta, S. Ganapathy, A. Bapna, P. Jain, and P. Talukdar
In The Twelfth International Conference on Learning Representations (ICLR) 2024, Vienna Austria. [A* conference]
Multimodal modeling for spoken language identification
S.Bharadwaj, M.Ma, S.Vashishth, A.Bapna, S.Ganapathy, V.Axelrod, S.Dalmia, W.Han, Y.Zhang, D.V.Esch, S.Ritchie, P.Talukder, J.Riesa
ICASSP 2024, Seoul, South Korea.
Self-Influence Guided Data Reweighting for Language Model Pre-training
M.Thakkar, T.Bolukbasi, S.Ganapathy, S.Vashishth, S.Chandar, P.Talukdar
EMNLP 2023, Singapore. [A* Conference]
Accented Speech Recognition With Accent-specific Codebooks
D.Prabhu, P.Jyothi, S.Ganapathy, V.Unni
EMNLP 2023, Singapore. [A* Conference]
MASR:Multi-Label Aware Speech Representation
A.Raj, S. Bharadwaj, S. Ganapathy, M. Ma, S.Vashishth
IEEE ASRU 2023, Taiwan.
Pseudo-Label Based Supervised Contrastive Loss for Robust Speech Representations
Varun Krishna and Sriram Ganapathy
IEEE ASRU 2023, Taiwan.
Hierarchical Text Classification Using Contrastive Learning Informed Path Guided Hierarchy
Neeraj Agrawal, Saurabh Kumar, Priyanka Bhatt, Tanishka Agarwal
ECAI 2023, Poland.
Building a Few-Shot Cross-Domain Multilingual NLU Model for Customer Care
Saurabh Kumar, Sourav Bansal, Neeraj Agrawal, Priyanka Bhatt
ECAI 2023, Poland.
Label Aware Speech Representation Learning For Language Identification
S. Vashishth, S. Bharadwaj, S. Ganapathy, A. Bapna, M. Ma, W. Han, V. Axelrod, P. Talukdar
Interspeech 2023, Dublin, Ireland.
DISPLACE Challenge: DIarization of SPeaker and LAnguage in Conversational Environments
S. Baghel, S. Ramoji, Sidharth, Ranjana H, P. Singh, S. Jain, P. R. Chowdhuri, K. Kulkarni, S. Padhi, D. Vijayasenan and S. Ganapathy
Interspeech 2023, Dublin, Ireland.
Supervised Hierarchical Clustering Using Graph Neural Networks for Speaker Diarization
Prachi Singh ,Amrit Kaul and Sriram Ganapathy
ICASSP 2023, Rhodes Island, Greece.
Interpretable Acoustic Representation Learning on Breathing and Speech Signals for COVID-19 Detection
Debottam Dutta ,Debarpan Bhattacharya ,Sriram Ganapathy, Amir H. Poorjam, Deepak Mittal, and Maneesh Singh
Interspeech 2022, Incheon, South Korea.
Analyzing the impact of SARS-CoV-2 variants on respiratory sound signals
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
Interspeech 2022, Incheon, South Korea.
Coswara: A website application enabling COVID-19 screening by analysing respiratory sound samples and health symptoms
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
Interspeech 2022, Incheon, South Korea.
The Second DiCOVA Challenge: Dataset and performance analysis for Diagnosis of COVID-19 using acoustics
Neeraj Kumar Sharma, Srikanth Raj Chetupalli, Debarpan Bhattacharya, Debottam Dutta, Pravin Mote, and Sriram Ganapathy
ICASSP 2022, Singapore.
Investigating the Feature Selection and Explainability of COVID-19 Diagnostics from Cough Sounds
A. Flavio, A. Poorjam, D. Mittal, C. Dognin, A. Muguli, R. Kumar, S. R. Chetupalli, S. Ganapathy and M. Singh
Interspeech 2021, Brno, Czech Republic.
SRIB-LEAP lab submission to Far-field Multi-Channel Speech Enhancement Challenge for Video Conferencing
P. R. Gudepu, R. Kumar, M. K. Jayesh, A. Purushothaman, S. Ganapathy and M. A. Basha
Interspeech 2021, Brno, Czech Republic.
The Third DIHARD Diarization Challenge
N. Ryant, P. Singh, V. Krishnamohan, R. Varma, K. Church, C. Cieri, J. Du, S. Ganapathy and M. Liberman
Interspeech 2021, Brno, Czech Republic.
DiCOVA Challenge: Dataset, task, and baseline system for COVID-19 diagnosis using acoustics
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
Interspeech 2021, Brno, Czech Republic.
A Multi-Head Relevance Weighting Framework for Learning Raw Waveform Audio Representations
D. Dutta, P. Agrawal, and S. Ganapathy
WASPAA 2021, New York, USA.
NISP: A Multi-lingual Multi-accent Dataset for Speaker Profiling
Shareef Babu Kalluri, Deepu Vijayasenan, Ganapathy, S., & Krishnan, P.
ICASSP 2021, Toronto.
Deep Multiway Canonical Correlation Analysis For Multi-Subject EEG Normalization
Katthi, J. R., & Ganapathy, S.
ICASSP 2021, Toronto.
End-to-End Lyrics Recognition with Voice to Singing Style Transfer
Basak, S., Agarwal, S., Ganapathy, S., & Takahashi, N.
ICASSP 2021, Toronto.
Representation Learning For Speech Recognition Using Feedback Based Relevance Weighting
P. Agrawal and S. Ganapathy
ICASSP 2021, Toronto, 2020.
Robust Raw Waveform Speech Recognition Using Relevance Weighted Representations
P. Agrawal and S. Ganapathy
Interspeech 2020, Beijing, October 2020.
Audiovisual Correspondence Learning in Humans And Machines
V. Krishnamohan, A. Soman, A. Gupta and S. Ganapathy
Interspeech 2020, Beijing, October 2020.
Deep Learning Based Dereverberation of Temporal Envelopes for Robust Speech Recognition
A. Purushothaman, A. Sreeram, R. Kumar and S. Ganapathy
Interspeech 2020, Beijing, October 2020.
Deep Self-Supervised Hierarchical Clustering for Speaker Diarization
P. Singh and S. Ganapathy
Interspeech 2020, Beijing, October 2020.
Context Dependent RNNLM for Automatic Transcription of Conversations
S. R. Chetupalli and S. Ganapathy
Interspeech 2020, Beijing, October 2020.
Deep Canonical Correlation Analysis For Decoding The Auditory Brain
J. Reddy and S. Ganapathy
IEEE EMBC, Toronto, Canada, July 2020.
NPLDA: A Deep Neural PLDA Model for Speaker Verification
S. Ramoji, P. Krishnan, and S. Ganapathy
Speaker Odyssey Workshop, November, 2020.
LEAP System for SRE19 Challenge - Improvements and Error Analysis
S. Ramoji, P. Krishnan, B. Mysore, P. Singh and S. Ganapathy
Speaker Odyssey Workshop, November, 2020.
On The Impact of Language Familiarity In Talker Change Detection
N. Sharma, V. Krishnamohan, S. Ganapathy, A. Gangopadhayay and L. Fink
ICASSP 2020.
3-D Feature and Acoustic Modeling for Far-Field Speech Recognition
A. Purushothaman, A. Sreeram and S. Ganapathy
ICASSP 2020.
Unsupervised Neural Mask Estimator For Generalized Eigen-Value Beamforming Based ASR
R. Kumar, A. Sreeram, A. Purushothaman and S. Ganapathy
ICASSP 2020.
Improving Voice Separation by Incorporating End-to-End Speech Recognition
N. Takahashi, M. Singh, S. Basak, P. Sudarsanam, S. Ganapathy, Y. Mitsufuji
ICASSP 2020.
Second Language Transfer Learning in Humans and Machines Using Image Supervision
K. Praveen, A. Gupta, A. Soman and S. Ganapathy
IEEE ASRU, Dec. 2019.
Speaker and Language Aware Training for End-to-End ASR
S. Bansal, K. Malhotra, S. Ganapathy
IEEE ASRU, Dec. 2019.
The Second DIHARD Diarization Challenge: Dataset - task - and baselines
N. Ryant, K. Church, C. Cieri, A. Cristia, J. Du, S. Ganapathy and M. Liberman
INTERSPEECH, Sept. 2019, Austria.
LEAP Diarization System for the Second DIHARD Challenge
P. Singh, Harsha Vardhan M A, S. Ganapathy and A. Kanagasundaram
INTERSPEECH, Sept. 2019, Austria.
Attention based Hybrid I-vector BLSTM Model for Language Recognition
B. Padi, A. Mohan and S. Ganapathy
INTERSPEECH, Sept. 2019, Austria.
Active Learning Methods for Low Resource End-To-End Automatic Speech Recognition
K. Malhotra, S. Bansal and S. Ganapathy
INTERSPEECH, Sept. 2019, Austria.
Unsupervised Raw Waveform Representation Learning for ASR
P. Agrawal and S. Ganapathy
INTERSPEECH, Sept. 2019, Austria.
A Study of X-vector Based Speaker Recognition on Short Utterances
A. Kanagasundaram, S. Sridharan, S. Ganapathy and P. Singh
INTERSPEECH, Sept. 2019, Austria.
The LEAP Speaker Recognition System for NIST SRE 2018 Challenge
S. Ramoji, A. Mohan, B. Mysore, A. Bhatia, P. Singh, Harsha Vardhan M A and S. Ganapathy
ICASSP, 2019.
Analyzing human reaction time for talker change detection
N. Sharma, S. Ganesh, S. Ganapathy and L. Holt
ICASSP, 2019.
Deep variational filter learning models for speech recognition
P. Agrawal and S. Ganapathy
ICASSP, 2019.
A Deep Neural Network Based End-to-End Model for Joint Height And Age Estimation From Short Duration Speech
Shareef Babu Kalluri, Deepu Vijayasenan and S. Ganapathy
ICASSP, 2019.
Supervised i-vector modeling - Theory and Applications
S. Ramoji and S. Ganapathy
INTERSPEECH, 2018.
Comparison of unsupervised modulation filter learning methods for ASR
P. Agrawal and S. Ganapathy
INTERSPEECH, 2018.
PhaseNet: Discretized phase modeling with deep neural networks for audio source separation
N. Takahashi, P. Agrawal, N. Goswami and Y. Mitsufuji
INTERSPEECH, 2018.
Talker diarization in the wild: The case of child-centered daylong audio-recordings
A. Cristia, S. Ganesh, M. Casillas and S. Ganapathy
INTERSPEECH, 2018.
On Convolutional LSTM Modeling for Joint Wake-Word Detection and Text Dependent Speaker Verification
R. Kumar, V. Yeruva and S. Ganapathy
INTERSPEECH, 2018.
Far-Field Speech Recognition Using Multivariate Autoregressive Models
S. Ganapathy and M. Harish
INTERSPEECH, 2018.
The LEAP Language Recognition System for LRE 2017 Challenge - Improvements and Error Analysis
B. Padi, S. Ramoji, V. Yeruva, S. Kumar and S. Ganapathy
Odyssey: The speaker and language recognition workshop, 2018.
Leveraging LSTM Models for Overlap Detection in Multi-Party Meetings
N. Sajjan, S. Ganesh, N. Sharma, S. Ganapathy and N. Ryant
ICASSP, Calgary Canada, April 2018.
3-D CNN Models for Far-Field Multi-Channel Speech Recognition
S. Ganapathy and V. Peddinti
ICASSP, Calgary Canada, April 2018.
Enhancement and Analysis of Conversational Speech: JSALT 2017
N. Ryant et al.
ICASSP, Calgary Canada, April 2018.
Unsupervised HMM Posteriograms for Language Independent Acoustic Modeling in Zero Resource Conditions
Ansari T, R. Kumar, S. Singh and S. Ganapathy
IEEE ASRU, Dec. 2017.
Deep Learning Methods For Unsupervised Acoustic Modeling - LEAP Submission to ZeroSpeech Challenge 2017
Ansari T, R. Kumar, S. Singh, S. Ganapathy
IEEE ASRU, Dec. 2017.
Leveraging Native Language Speech For Accent Identfication Using Deep Siamese Networks
A. Siddhant, P. Jyothi and S. Ganapathy
IEEE ASRU, Dec. 2017.
Speech representation learning using unsupervised data-driven modulation filtering for robust ASR
P. Agrawal and S. Ganapathy
Interspeech, Stockholm, Sweden, Aug. 2017.
IITG-Indigo system for NIST 2016 SRE challenge
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
Interspeech, Stockholm, Sweden, Aug. 2017.
Factor Analysis Methods for Joint Speaker Verification and Spoof Detection
Dhanush B, Suparna S., Aarthy R., Likhita C., Shashank D., Harish H. and S. Ganapathy
ICASSP, New Orleans, USA, 2017.
The IBM Speaker Recognition System: Recent Advances and Error Analysis
S. Sadjadi, J. Pelecanos and S. Ganapathy
Interspeech, San Francisco, September, 2016.
An investigation on the use of ivectors for improved ASR robustness
D. Dimitriadis, S. Thomas and S. Ganapathy
Interspeech, San Francisco, Sept. 2016.
The IBM 2016 Speaker Recognition System
S. Sadjadi, S. Ganapathy and J. Pelecanos
Odyssey, Spain, June, 2016.
Speaker Age Estimation On Conversational Telephone Speech Using Senone Posterior Based I-vectors
S. Sadjadi, S. Ganapathy and J. Pelecanos
ICASSP, Shanghai, March, 2016.
Investigating Factor Analysis Features for Deep Neural Networks In Noisy Speech Recognition
S. Ganapathy, S. Thomas, D. Dimitriadis, S. Rennie
Interspeech, Dresden, Germany, Sept. 2015.
Nearest Neighbor Discriminant Analysis for Language Recognition
S. Sadjadi, J. Pelecanos and S. Ganapathy
ICASSP, Brisbane, April, 2015.
Robust Language Identification Using Convolutional Neural Networks
S. Ganapathy, K. J. Han, S. Thomas, M. Omar, M. V. Segbroeck and S. Narayanan
Interspeech, Singapore, Sept. 2014.
Shift-Invariant Features for Speech Activity Detection in Adverse Radio-Frequency Channel Conditions
M. Omar and S. Ganapathy
ICASSP, Florence, Italy, May, 2014.
Analyzing Convolutional Neural Networks for Speech Activity Detection in Mismatched Acoustic Conditions
K. J. Han, S. Ganapathy, M Li, M. Omar and S. Narayanan
ICASSP, Florence, Italy, May, 2014.
The IBM Speech Activity Detection System for the DARPA RATS Program
G. Saon, S. Thomas, H. Soltau, S. Ganapathy and B. Kingsbury
Interspeech, Lyon, Aug. 2013.
TRAP Language Identification System for RATS Phase II Evaluation
K. J. Han, S. Ganapathy, M Li, M. Omar and S. Narayan
Interspeech, Lyon, Aug. 2013.
Robust Speaker Recognition Using Spectro-Temporal Autoregressive Models
H. Mallidi, S. Ganapathy and H. Hermansky
Interspeech, Lyon, Aug. 2013.
Unsupervised Channel Adaptation For Language Identification Using Co-training
S. Ganapathy, M. Omar and J. Pelecanos
ICASSP, Vancouver, May, 2013.
Noisy Channel Adaptation in Language Identification
S. Ganapathy, M. Omar and J. Pelecanos
IEEE SLT, Miami, Dec, 2012.
Robust Phoneme Recognition Using High Resolution Temporal Envelopes
S. Ganapathy and H. Hermansky
Interspeech, Portland, Sept. 2012.
Data-driven Posterior Features for Low Resource Speech Recognition Applications
S. Thomas, S. Ganapathy, A. Jansen and H. Hermansky
Interspeech, Portland, Sept. 2012.
Feature Extraction Using 2-D Autoregressive Models For Speaker Recognition
S. Ganapathy, S. Thomas and H. Hermansky
ISCA Speaker Odyssey, June 2012.
Adaptation Transforms of Auto-Associative Neural Networks as Features for Speaker Verification
S. Thomas, H. Mallidi, S. Ganapathy and H. Hermansky
ISCA Speaker Odyssey, June 2012.
The UMD-JHU 2011 Speaker Recognition System
D. Gomero et al.
ICASSP, Japan, Mar. 2012.
Multilingual MLP Features For Low-resource LVCSR Systems
S. Thomas, S. Ganapathy and H. Hermansky
ICASSP, Japan, Mar. 2012.
Multi-layer Perceptron Based Speech Activity Detection for Speaker Verification
S. Ganapathy, P. Rajan and H. Hermansky
IEEE WASPAA, Oct. 2011.
Modulation spectrum analysis for recognition of reverberant speech
H. Mallidi, S. Ganapathy and H. Hermansky
Interspeech, Italy, Aug. 2011.
Feature Normalization for Speaker Verification in Room Reverberation
S. Ganapathy, J. Pelecanos and M. Omar
ICASSP, Prague, May 2011.
Sparse Auto-associative Neural Networks: Theory and Application to Speech Recognition
S. Garimella, S. Ganapathy and H. Hermansky
Interspeech, Japan, Sept. 2010.
Cross-lingual and Multi-stream Posterior Features for Low-resource LVCSR Systems
S. Thomas, S. Ganapathy and H. Hermansky
Proc. of Interspeech, Japan, Sept. 2010.
A Phoneme Recognition Framework based on Auditory Spectro-Temporal Receptive Fields
S. Thomas, K. Patil, S. Ganapathy, N. Mesgarani, H. Hermansky
Proc. of Interspeech, Japan, Sept. 2010.
Robust Spectro-Temporal Features Based on Autoregressive Models of Hilbert Envelopes
S. Ganapathy, S. Thomas and H. Hermansky
ICASSP, Dallas, USA, March 2010.
Comparison of Modulation Features For Phoneme Recognition
S. Ganapathy, S. Thomas and H. Hermansky
ICASSP, Dallas, USA, March 2010.
Temporal Envelope Subtraction for Robust Speech Recognition Using Modulation Spectrum
S. Ganapathy, S. Thomas, and H. Hermansky
IEEE ASRU, 2009.
Applications of Signal Analysis Using Autoregressive Models for Amplitude Modulation
S. Ganapathy, S. Thomas, P. Motlicek and H. Hermansky
IEEE WASPAA 2009.
Static and Dynamic Modulation Spectrum for Speech Recognition
S. Ganapathy, S. Thomas and H. Hermansky
Proc. of Interspeech, Brighton, UK, Sept. 2009.
Tandem Representations of Spectral Envelope and Modulation Frequency Features for ASR
S. Thomas, S. Ganapathy and H. Hermansky
Proc. of Interspeech, Brighton, UK, Sept. 2009.
Phoneme Recognition Using Spectral Envelope and Modulation Frequency Features
S. Thomas, S. Ganapathy and H. Hermansky
ICASSP, Taiwan, April 2009.
Front-end for Far-field Speech Recognition based on Frequency Domain Linear Prediction
S. Ganapathy, S. Thomas and H. Hermansky
Proc. of INTERSPEECH, Brisbane, Australia, Sep 2008.
Hilbert Envelope Based Specto-Temporal Features for Phoneme Recognition in Telephone Speech
S. Thomas, S. Ganapathy and H. Hermansky
Proc. of INTERSPEECH, Brisbane, Australia, Sep 2008.
Spectral Noise Shaping: Improvements in Speech/Audio Codec Based on Linear Prediction in Spectral Domain
S. Ganapathy, P. Motlicek, H. Hermansky and H. Garudadri
Proc. of INTERSPEECH, Brisbane, Australia, Sep 2008.
Perceptually motivated Sub-band Decomposition for FDLP Audio Coding
P. Motlicek, S. Ganapathy, H. Hermansky, H. Garudadri and Marios Athineos
Lecture Notes In Artificial Intelligence, Springer-Verlag Berlin, Heidelberg, 2008.
Spectro-Temporal Features for Automatic Speech Recognition using Linear Prediction in Spectral Domain
S. Thomas, S. Ganapathy and H. Hermansky
Proc. of EUSIPCO, Lausanne, Switzerland, Aug 2008.
Autoregressive Modelling of Hilbert Envelopes for Wide-band Audio Coding
S. Ganapathy, P. Motlicek, H. Hermansky and H. Garudadri
AES 124th Convention, Audio Engineering Society, May 2008.
Temporal Masking for Bit-rate Reduction in Audio Codec Based on Frequency Domain Linear Prediction
S. Ganapathy, P. Motlicek, H. Hermansky and H. Garudadri
Proc. of ICASSP, April 2008.
Hilbert Envelope Based Features for Far-Field Speech Recognition
S. Thomas, S. Ganapathy and H. Hermansky
Lecture Notes in Computer Science, Springer Berlin, Heidelberg 2008.
Frequency Domain Linear Prediction for QMF Sub-bands and Applications to Audio Coding
P. Motlicek, H. Hermansky, S. Ganapathy and H. Garudadri
Lecture Notes in Computer Science, Springer Berlin, Heidelberg 2007.
Non - Uniform Speech/Audio Coding Exploiting Predictability of Temporal Evolution of Spectral Envelopes
P. Motlicek, H. Hermansky, S. Ganapathy and H. Garudadri
Lecture Notes in Computer Science, Springer Berlin, Heidelberg 2007.
Patents
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.