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Sriram Ganapathy
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2020 – today
- 2024
- [j19]Shikha Baghel, Shreyas Ramoji, Somil Jain, Pratik Roy Chowdhuri, Prachi Singh, Deepu Vijayasenan, Sriram Ganapathy:
Summary of the DISPLACE challenge 2023-DIarization of SPeaker and LAnguage in Conversational Environments. Speech Commun. 161: 103080 (2024) - [j18]Anurenjan Purushothaman, Debottam Dutta, Rohit Kumar, Sriram Ganapathy:
Speech Dereverberation With Frequency Domain Autoregressive Modeling. IEEE ACM Trans. Audio Speech Lang. Process. 32: 29-38 (2024) - [j17]Varun Krishna, Tarun Sai, Sriram Ganapathy:
Representation Learning With Hidden Unit Clustering for Low Resource Speech Applications. IEEE ACM Trans. Audio Speech Lang. Process. 32: 1036-1047 (2024) - [c126]Soumya Dutta, Sriram Ganapathy:
Zero Shot Audio To Audio Emotion Transfer With Speaker Disentanglement. ICASSP 2024: 10371-10375 - [c125]Shikhar Bharadwaj, Min Ma, Shikhar Vashishth, Ankur Bapna, Sriram Ganapathy, Vera Axelrod, Siddharth Dalmia, Wei Han, Yu Zhang, Daan van Esch, Sandy Ritchie, Partha Talukdar, Jason Riesa:
Multimodal Modeling for Spoken Language Identification. ICASSP 2024: 11526-11530 - [c124]Rachit Bansal, Bidisha Samanta, Siddharth Dalmia, Nitish Gupta, Sriram Ganapathy, Abhishek Bapna, Prateek Jain, Partha Talukdar:
LLM Augmented LLMs: Expanding Capabilities through Composition. ICLR 2024 - [i56]Rachit Bansal, Bidisha Samanta, Siddharth Dalmia, Nitish Gupta, Shikhar Vashishth, Sriram Ganapathy, Abhishek Bapna, Prateek Jain, Partha Talukdar:
LLM Augmented LLMs: Expanding Capabilities through Composition. CoRR abs/2401.02412 (2024) - [i55]Soumya Dutta, Sriram Ganapathy:
Zero Shot Audio to Audio Emotion Transfer With Speaker Disentanglement. CoRR abs/2401.04511 (2024) - [i54]Prachi Singh, Sriram Ganapathy:
Overlap-aware End-to-End Supervised Hierarchical Graph Clustering for Speaker Diarization. CoRR abs/2401.12850 (2024) - [i53]Shareef Babu Kalluri, Prachi Singh, Pratik Roy Chowdhuri, Apoorva Kulkarni, Shikha Baghel, Pradyoth Hegde, Swapnil Sontakke, Deepak K. T., S. R. Mahadeva Prasanna, Deepu Vijayasenan, Sriram Ganapathy:
The Second DISPLACE Challenge : DIarization of SPeaker and LAnguage in Conversational Environments. CoRR abs/2406.09494 (2024) - [i52]Varun Krishna, Sriram Ganapathy:
Towards the Next Frontier in Speech Representation Learning Using Disentanglement. CoRR abs/2407.02543 (2024) - [i51]Darshan Prabhu, Abhishek Gupta, Omkar Nitsure, Preethi Jyothi, Sriram Ganapathy:
Improving Self-supervised Pre-training using Accent-Specific Codebooks. CoRR abs/2407.03734 (2024) - [i50]Shikhar Vashishth, Harman Singh, Shikhar Bharadwaj, Sriram Ganapathy, Chulayuth Asawaroengchai, Kartik Audhkhasi, Andrew Rosenberg, Ankur Bapna, Bhuvana Ramabhadran:
STAB: Speech Tokenizer Assessment Benchmark. CoRR abs/2409.02384 (2024) - [i49]Debarpan Bhattacharya, Amir H. Poorjam, Deepak Mittal, Sriram Ganapathy:
Gradient-free Post-hoc Explainability Using Distillation Aided Learnable Approach. CoRR abs/2409.11123 (2024) - 2023
- [c123]Varun Krishna, Sriram Ganapathy:
Pseudo-Label Based Supervised Contrastive Loss for Robust Speech Representations. ASRU 2023: 1-8 - [c122]Anjali Raj, Shikhar Bharadwaj, Sriram Ganapathy, Min Ma, Shikhar Vashishth:
MASR: Multi-Label Aware Speech Representation. ASRU 2023: 1-8 - [c121]Megh Thakkar, Tolga Bolukbasi, Sriram Ganapathy, Shikhar Vashishth, Sarath Chandar, Partha Talukdar:
Self-Influence Guided Data Reweighting for Language Model Pre-training. EMNLP 2023: 2033-2045 - [c120]Darshan Prabhu, Preethi Jyothi, Sriram Ganapathy, Vinit Unni:
Accented Speech Recognition With Accent-specific Codebooks. EMNLP 2023: 7175-7188 - [c119]Prachi Singh, Amrit Kaul, Sriram Ganapathy:
Supervised Hierarchical Clustering Using Graph Neural Networks for Speaker Diarization. ICASSP 2023: 1-5 - [c118]Shikha Baghel, Shreyas Ramoji, Sidharth, Ranjana H, Prachi Singh, Somil Jain, Pratik Roy Chowdhuri, Kaustubh Kulkarni, Swapnil Padhi, Deepu Vijayasenan, Sriram Ganapathy:
The DISPLACE Challenge 2023 - DIarization of SPeaker and LAnguage in Conversational Environments. INTERSPEECH 2023: 3562-3566 - [c117]Akshara Soman, Vidhi Sinha, Sriram Ganapathy:
Enhancing the EEG Speech Match Mismatch Tasks With Word Boundaries. INTERSPEECH 2023: 5177-5181 - [c116]Shikhar Vashishth, Shikhar Bharadwaj, Sriram Ganapathy, Ankur Bapna, Min Ma, Wei Han, Vera Axelrod, Partha Talukdar:
Label Aware Speech Representation Learning For Language Identification. INTERSPEECH 2023: 5351-5355 - [i48]Prachi Singh, Amrit Kaul, Sriram Ganapathy:
Supervised Hierarchical Clustering using Graph Neural Networks for Speaker Diarization. CoRR abs/2302.12716 (2023) - [i47]Shikha Baghel, Shreyas Ramoji, Sidharth, Ranjana H, Prachi Singh, Somil Jain, Pratik Roy Chowdhuri, Kaustubh Kulkarni, Swapnil Padhi, Deepu Vijayasenan, Sriram Ganapathy:
DISPLACE Challenge: DIarization of SPeaker and LAnguage in Conversational Environments. CoRR abs/2303.00830 (2023) - [i46]Soumya Dutta, Sriram Ganapathy:
HCAM - Hierarchical Cross Attention Model for Multi-modal Emotion Recognition. CoRR abs/2304.06910 (2023) - [i45]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 abs/2305.12741 (2023) - [i44]Shikhar Vashishth, Shikhar Bharadwaj, Sriram Ganapathy, Ankur Bapna, Min Ma, Wei Han, Vera Axelrod, Partha Talukdar:
Label Aware Speech Representation Learning For Language Identification. CoRR abs/2306.04374 (2023) - [i43]Varun Krishna, Tarun Sai, Sriram Ganapathy:
Representation Learning With Hidden Unit Clustering For Low Resource Speech Applications. CoRR abs/2307.07325 (2023) - [i42]Anjali Raj, Shikhar Bharadwaj, Sriram Ganapathy, Min Ma, Shikhar Vashishth:
MASR: Metadata Aware Speech Representation. CoRR abs/2307.10982 (2023) - [i41]Shikhar Bharadwaj, Min Ma, Shikhar Vashishth, Ankur Bapna, Sriram Ganapathy, Vera Axelrod, Siddharth Dalmia, Wei Han, Yu Zhang, Daan van Esch, Sandy Ritchie, Partha Talukdar, Jason Riesa:
Multimodal Modeling For Spoken Language Identification. CoRR abs/2309.10567 (2023) - [i40]Anurenjan Purushothaman, Debottam Dutta, Rohit Kumar, Sriram Ganapathy:
Speech enhancement with frequency domain auto-regressive modeling. CoRR abs/2309.13537 (2023) - [i39]Darshan Prabhu, Preethi Jyothi, Sriram Ganapathy, Vinit Unni:
Accented Speech Recognition With Accent-specific Codebooks. CoRR abs/2310.15970 (2023) - [i38]Megh Thakkar, Tolga Bolukbasi, Sriram Ganapathy, Shikhar Vashishth, Sarath Chandar, Partha Talukdar:
Self-Influence Guided Data Reweighting for Language Model Pre-training. CoRR abs/2311.00913 (2023) - [i37]Shikha Baghel, Shreyas Ramoji, Somil Jain, Pratik Roy Chowdhuri, Prachi Singh, Deepu Vijayasenan, Sriram Ganapathy:
Summary of the DISPLACE Challenge 2023 - DIarization of SPeaker and LAnguage in Conversational Environments. CoRR abs/2311.12564 (2023) - 2022
- [j16]Anurenjan Purushothaman, Anirudh Sreeram, Rohit Kumar, Sriram Ganapathy:
Dereverberation of autoregressive envelopes for far-field speech recognition. Comput. Speech Lang. 72: 101277 (2022) - [j15]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: 101320 (2022) - [j14]Shreyas Ramoji, Prashant Krishnan V, Sriram Ganapathy:
PLDA inspired Siamese networks for speaker verification. Comput. Speech Lang. 76: 101383 (2022) - [c115]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: 556-560 - [c114]Varun Krishna, Sriram Ganapathy:
Self Supervised Representation Learning with Deep Clustering for Acoustic Unit Discovery from Raw Speech. ICASSP 2022: 3268-3272 - [c113]Rohit Kumar, Anurenjan Purushothaman, Anirudh Sreeram, Sriram Ganapathy:
End-To-End Speech Recognition with Joint Dereverberation of Sub-Band Autoregressive Envelopes. ICASSP 2022: 6057-6061 - [c112]Soumya Dutta, Sriram Ganapathy:
Multimodal Transformer with Learnable Frontend and Self Attention for Emotion Recognition. ICASSP 2022: 6917-6921 - [c111]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: 1957-1958 - [c110]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. INTERSPEECH 2022: 2473-2477 - [c109]Debottam Dutta, Debarpan Bhattacharya, Sriram Ganapathy, Amir Hossein Poorjam, Deepak Mittal, Maneesh Singh:
Acoustic Representation Learning on Breathing and Speech Signals for COVID-19 Detection. INTERSPEECH 2022: 2863-2867 - [c108]Shrutina Agarwal, Naoya Takahashi, Sriram Ganapathy:
Leveraging Symmetrical Convolutional Transformer Networks for Speech to Singing Voice Style Transfer. INTERSPEECH 2022: 3013-3017 - [c107]Tarun Sai Bandarupalli, Shakti Rath, Nirmesh Shah, Naoyuki Onoe, Sriram Ganapathy:
Semi-supervised Acoustic and Language Modeling for Hindi ASR. INTERSPEECH 2022: 3528-3532 - [c106]Srikanth Raj Chetupalli, Sriram Ganapathy:
Speaker conditioned acoustic modeling for multi-speaker conversational ASR. INTERSPEECH 2022: 3834-3838 - [c105]M. K. Jayesh, Mukesh Sharma, Praneeth Vonteddu, Mahaboob Ali Basha Shaik, Sriram Ganapathy:
Transformer Networks for Non-Intrusive Speech Quality Prediction. INTERSPEECH 2022: 4078-4082 - [i36]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 abs/2206.05053 (2022) - [i35]Deepak Mittal, Amir H. Poorjam, Debottam Dutta, Debarpan Bhattacharya, Zemin Yu, Sriram Ganapathy, Maneesh Kumar Singh:
Svadhyaya system for the Second Diagnosing COVID-19 using Acoustics Challenge 2021. CoRR abs/2206.05462 (2022) - [i34]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 abs/2206.12309 (2022) - [i33]Debottam Dutta, Debarpan Bhattacharya, Sriram Ganapathy, Amir H. Poorjam, Deepak Mittal, Maneesh Kumar Singh:
Interpretable Acoustic Representation Learning on Breathing and Speech Signals for COVID-19 Detection. CoRR abs/2206.13365 (2022) - [i32]Shrutina Agarwal, Sriram Ganapathy, Naoya Takahashi:
Leveraging Symmetrical Convolutional Transformer Networks for Speech to Singing Voice Style Transfer. CoRR abs/2208.12410 (2022) - 2021
- [j13]Prachi Singh, Sriram Ganapathy:
Self-Supervised Representation Learning With Path Integral Clustering for Speaker Diarization. IEEE ACM Trans. Audio Speech Lang. Process. 29: 1639-1649 (2021) - [c104]Prachi Singh, Sriram Ganapathy:
Self-Supervised Metric Learning With Graph Clustering For Speaker Diarization. ASRU 2021: 90-97 - [c103]Sakya Basak, Shrutina Agarwal, Sriram Ganapathy, Naoya Takahashi:
End-to-End Lyrics Recognition with Voice to Singing Style Transfer. ICASSP 2021: 266-270 - [c102]Jaswanth Reddy Katthi, Sriram Ganapathy:
Deep Multiway Canonical Correlation Analysis For Multi-Subject Eeg Normalization. ICASSP 2021: 1245-1249 - [c101]Purvi Agrawal, Sriram Ganapathy:
Representation Learning for Speech Recognition Using Feedback Based Relevance Weighting. ICASSP 2021: 6883-6887 - [c100]Shareef Babu Kalluri, Deepu Vijayasenan, Sriram Ganapathy, Ragesh Rajan M, Prashant Krishnan V:
NISP: A Multi-lingual Multi-accent Dataset for Speaker Profiling. ICASSP 2021: 6953-6957 - [c99]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: 951-955 - [c98]Sriram Ganapathy:
Uncovering the Acoustic Cues of COVID-19 Infection. Interspeech 2021 - [c97]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: 901-905 - [c96]R. G. Prithvi Raj, Rohit Kumar, M. K. Jayesh, Anurenjan Purushothaman, Sriram Ganapathy, M. Ali Basha Shaik:
SRIB-LEAP Submission to Far-Field Multi-Channel Speech Enhancement Challenge for Video Conferencing. Interspeech 2021: 1857-1861 - [c95]Prachi Singh, Rajat Varma, Venkat Krishnamohan, Srikanth Raj Chetupalli, Sriram Ganapathy:
LEAP Submission for the Third DIHARD Diarization Challenge. Interspeech 2021: 3545-3549 - [c94]Neville Ryant, Prachi Singh, Venkat Krishnamohan, Rajat Varma, Kenneth Church, Christopher Cieri, Jun Du, Sriram Ganapathy, Mark Liberman:
The Third DIHARD Diarization Challenge. Interspeech 2021: 3570-3574 - [c93]Debottam Dutta, Purvi Agrawal, Sriram Ganapathy:
A Multi-Head Relevance Weighting Framework for Learning Raw Waveform Audio Representations. WASPAA 2021: 191-195 - [i31]Sakya Basak, Shrutina Agarwal, Sriram Ganapathy, Naoya Takahashi:
End-to-end lyrics Recognition with Voice to Singing Style Transfer. CoRR abs/2102.08575 (2021) - [i30]Jaswanth Reddy Katthi, Sriram Ganapathy:
Deep Multiway Canonical Correlation Analysis for Multi-Subject EEG Normalization. CoRR abs/2103.06478 (2021) - [i29]Ananya Muguli, Lancelot Pinto, Nirmala R., Neeraj Kumar 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 abs/2103.09148 (2021) - [i28]Prachi Singh, Sriram Ganapathy:
Self-supervised Representation Learning With Path Integral Clustering For Speaker Diarization. CoRR abs/2104.09456 (2021) - [i27]Jaswanth Reddy Katthi, Sriram Ganapathy:
Deep Correlation Analysis for Audio-EEG Decoding. CoRR abs/2105.08492 (2021) - [i26]Srikanth Raj Chetupalli, Prashant Krishnan V, Neeraj Kumar 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 abs/2106.00639 (2021) - [i25]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 abs/2106.10997 (2021) - [i24]R. G. Prithvi Raj, Rohit Kumar, M. K. Jayesh, Anurenjan Purushothaman, Sriram Ganapathy, M. Ali Basha Shaik:
SRIB-LEAP submission to Far-field Multi-Channel Speech Enhancement Challenge for Video Conferencing. CoRR abs/2106.12763 (2021) - [i23]Debottam Dutta, Purvi Agrawal, Sriram Ganapathy:
A Multi-Head Relevance Weighting Framework For Learning Raw Waveform Audio Representations. CoRR abs/2107.14793 (2021) - [i22]Anurenjan Purushothaman, Anirudh Sreeram, Rohit Kumar, Sriram Ganapathy:
Dereverberation of Autoregressive Envelopes for Far-field Speech Recognition. CoRR abs/2108.05520 (2021) - [i21]Prachi Singh, Sriram Ganapathy:
Self-Supervised Metric Learning With Graph Clustering For Speaker Diarization. CoRR abs/2109.06824 (2021) - [i20]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 abs/2110.01177 (2021) - 2020
- [j12]Shreyas Ramoji, Sriram Ganapathy:
Supervised I-vector modeling for language and accent recognition. Comput. Speech Lang. 60 (2020) - [j11]Shareef Babu Kalluri, Deepu Vijayasenan, Sriram Ganapathy:
Automatic speaker profiling from short duration speech data. Speech Commun. 121: 16-28 (2020) - [j10]Bharat Padi, Anand Mohan, Sriram Ganapathy:
Towards Relevance and Sequence Modeling in Language Recognition. IEEE ACM Trans. Audio Speech Lang. Process. 28: 1223-1232 (2020) - [j9]Purvi Agrawal, Sriram Ganapathy:
Interpretable Representation Learning for Speech and Audio Signals Based on Relevance Weighting. IEEE ACM Trans. Audio Speech Lang. Process. 28: 2823-2836 (2020) - [c92]Jaswanth Reddy Katthi, Sriram Ganapathy, Sandeep Kothinti, Malcolm Slaney:
Deep Canonical Correlation Analysis For Decoding The Auditory Brain. EMBC 2020: 3505-3508 - [c91]Naoya Takahashi, Mayank Kumar Singh, Sakya Basak, Sudarsanam Parthasaarathy, Sriram Ganapathy, Yuki Mitsufuji:
Improving Voice Separation by Incorporating End-To-End Speech Recognition. ICASSP 2020: 41-45 - [c90]Neeraj Kumar Sharma, Venkat Krishnamohan, Sriram Ganapathy, Ahana Gangopadhayay, Lauren Fink:
On The Impact of Language Familiarity in Talker Change Detection. ICASSP 2020: 6249-6253 - [c89]Anurenjan Purushothaman, Anirudh Sreeram, Sriram Ganapathy:
3-D Acoustic Modeling for Far-Field Multi-Channel Speech Recognition. ICASSP 2020: 6964-6968 - [c88]Rohit Kumar, Anirudh Sreeram, Anurenjan Purushothaman, Sriram Ganapathy:
Unsupervised Neural Mask Estimator for Generalized Eigen-Value Beamforming Based Asr. ICASSP 2020: 7494-7498 - [c87]Prachi Singh, Sriram Ganapathy:
Deep Self-Supervised Hierarchical Clustering for Speaker Diarization. INTERSPEECH 2020: 294-298 - [c86]Srikanth Raj Chetupalli, Sriram Ganapathy:
Context Dependent RNNLM for Automatic Transcription of Conversations. INTERSPEECH 2020: 886-890 - [c85]Purvi Agrawal, Sriram Ganapathy:
Robust Raw Waveform Speech Recognition Using Relevance Weighted Representations. INTERSPEECH 2020: 1649-1653 - [c84]Anurenjan Purushothaman, Anirudh Sreeram, Rohit Kumar, Sriram Ganapathy:
Deep Learning Based Dereverberation of Temporal Envelopes for Robust Speech Recognition. INTERSPEECH 2020: 1688-1692 - [c83]Shreyas Ramoji, Prashant Krishnan V, Sriram Ganapathy:
Neural PLDA Modeling for End-to-End Speaker Verification. INTERSPEECH 2020: 4333-4337 - [c82]Venkat Krishnamohan, Akshara Soman, Anshul Gupta, Sriram Ganapathy:
Audiovisual Correspondence Learning in Humans and Machines. INTERSPEECH 2020: 4462-4466 - [c81]Neeraj Kumar 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: 4811-4815 - [c80]Kamalesh Singh, Nagendra Kumar, Rohit Sinha, Shreyas Ramoji, Sriram Ganapathy:
IITG- Indigo Submissions for NIST 2018 Speaker Recognition Evaluation and Post-Challenge Improvements. NCC 2020: 1-5 - [c79]Shreyas Ramoji, Prashant Krishnan V, Sriram Ganapathy:
NPLDA: A Deep Neural PLDA Model for Speaker Verification. Odyssey 2020: 202-209 - [c78]Shreyas Ramoji, Prashant Krishnan V, Bhargavram Mysore, Prachi Singh, Sriram Ganapathy:
LEAP System for SRE 2019 CTS Challenge - Improvements and Error Analysis. Odyssey 2020: 281-288 - [i19]Shreyas Ramoji, Prashant Krishnan V, Prachi Singh, Sriram Ganapathy:
Pairwise Discriminative Neural PLDA for Speaker Verification. CoRR abs/2001.07034 (2020) - [i18]Shreyas Ramoji, Prashant Krishnan V, Bhargavram Mysore, Prachi Singh, Sriram Ganapathy:
LEAP System for SRE19 Challenge - Improvements and Error Analysis. CoRR abs/2002.02735 (2020) - [i17]Shreyas Ramoji, Prashant Krishnan V, Sriram Ganapathy:
NPLDA: A Deep Neural PLDA Model for Speaker Verification. CoRR abs/2002.03562 (2020) - [i16]Bharat Padi, Anand Mohan, Sriram Ganapathy:
Towards Relevance and Sequence Modeling in Language Recognition. CoRR abs/2004.01221 (2020) - [i15]Neeraj Kumar 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 abs/2005.10548 (2020) - [i14]Neville Ryant, Kenneth Church, Christopher Cieri, Jun Du, Sriram Ganapathy, Mark Liberman:
Third DIHARD Challenge Evaluation Plan. CoRR abs/2006.05815 (2020) - [i13]Shareef Babu Kalluri, Deepu Vijayasenan, Sriram Ganapathy, Ragesh Rajan M, Prashant Krishnan V:
NISP: A Multi-lingual Multi-accent Dataset for Speaker Profiling. CoRR abs/2007.06021 (2020) - [i12]Anurenjan Purushothaman, Anirudh Sreeram, Rohit Kumar, Sriram Ganapathy:
Deep Learning Based Dereverberation of Temporal Envelopesfor Robust Speech Recognition. CoRR abs/2008.03339 (2020) - [i11]Shreyas Ramoji, Prashant Krishnan V, Sriram Ganapathy:
Neural PLDA Modeling for End-to-End Speaker Verification. CoRR abs/2008.04527 (2020) - [i10]Purvi Agrawal, Sriram Ganapathy:
Robust Raw Waveform Speech Recognition Using Relevance Weighted Representations. CoRR abs/2011.00721 (2020) - [i9]Purvi Agrawal, Sriram Ganapathy:
Interpretable Representation Learning for Speech and Audio Signals Based on Relevance Weighting. CoRR abs/2011.02136 (2020) - [i8]Neville Ryant, Prachi Singh, Venkat Krishnamohan, Rajat Varma, Kenneth Church, Christopher Cieri, Jun Du, Sriram Ganapathy, Mark Liberman:
The Third DIHARD Diarization Challenge. CoRR abs/2012.01477 (2020)
2010 – 2019
- 2019
- [j8]Purvi Agrawal, Sriram Ganapathy:
Modulation Filter Learning Using Deep Variational Networks for Robust Speech Recognition. IEEE J. Sel. Top. Signal Process. 13(2): 244-253 (2019) - [c77]Shubham Bansal, Karan Malhotra, Sriram Ganapathy:
Speaker and Language Aware Training for End-to-End ASR. ASRU 2019: 494-501 - [c76]Kiran Praveen, Anshul Gupta, Akshara Soman, Sriram Ganapathy:
Second Language Transfer Learning in Humans and Machines Using Image Supervision. ASRU 2019: 1040-1047 - [c75]Rini A. Sharon, Sidharth Aggarwal, Purvi Goel, Raviraj Joshi, Mriganka Sur, Hema A. Murthy, Sriram Ganapathy:
Level-wise Subject adaptation to improve classification of motor and mental EEG tasks. EMBC 2019: 6172-6175 - [c74]Purvi Agrawal, Sriram Ganapathy:
Deep Variational Filter Learning Models for Speech Recognition. ICASSP 2019: 5731-5735 - [c73]Shreyas Ramoji, Anand Mohan, Bhargavram Mysore, Anmol Bhatia, Prachi Singh, Harsha Vardhan, Sriram Ganapathy:
The Leap Speaker Recognition System for NIST SRE 2018 Challenge. ICASSP 2019: 5771-5775 - [c72]Bharat Padi, Anand Mohan, Sriram Ganapathy:
End-to-end Language Recognition Using Attention Based Hierarchical Gated Recurrent Unit Models. ICASSP 2019: 5966-5970 - [c71]Shareef Babu Kalluri, Deepu Vijayasenan, Sriram Ganapathy:
A Deep Neural Network Based End to End Model for Joint Height and Age Estimation from Short Duration Speech. ICASSP 2019: 6580-6584 - [c70]Neeraj Kumar Sharma, Shobhana Ganesh, Sriram Ganapathy, Lori L. Holt:
Analyzing Human Reaction Time for Talker Change Detection. ICASSP 2019: 7135-7139 - [c69]Neville Ryant, Kenneth Church, Christopher Cieri, Alejandrina Cristià, Jun Du, Sriram Ganapathy, Mark Liberman:
The Second DIHARD Diarization Challenge: Dataset, Task, and Baselines. INTERSPEECH 2019: 978-982 - [c68]Prachi Singh, Harsha Vardhan, Sriram Ganapathy, Ahilan Kanagasundaram:
LEAP Diarization System for the Second DIHARD Challenge. INTERSPEECH 2019: 983-987 - [c67]Bharat Padi, Anand Mohan, Sriram Ganapathy:
Attention Based Hybrid i-Vector BLSTM Model for Language Recognition. INTERSPEECH 2019: 1263-1267 - [c66]Karan Malhotra, Shubham Bansal, Sriram Ganapathy:
Active Learning Methods for Low Resource End-to-End Speech Recognition. INTERSPEECH 2019: 2215-2219 - [c65]Ahilan Kanagasundaram, Sridha Sridharan, Sriram Ganapathy, Prachi Singh, Clinton Fookes:
A Study of x-Vector Based Speaker Recognition on Short Utterances. INTERSPEECH 2019: 2943-2947 - [c64]Purvi Agrawal, Sriram Ganapathy:
Unsupervised Raw Waveform Representation Learning for ASR. INTERSPEECH 2019: 3451-3455 - [i7]Neville Ryant, Kenneth Church, Christopher Cieri, Alejandrina Cristià, Jun Du, Sriram Ganapathy, Mark Liberman:
The Second DIHARD Diarization Challenge: Dataset, task, and baselines. CoRR abs/1906.07839 (2019) - [i6]Anurenjan Purushothaman, Anirudh Sreeram, Sriram Ganapathy:
3-D Feature and Acoustic Modeling for Far-Field Speech Recognition. CoRR abs/1911.05504 (2019) - [i5]Rohit Kumar, Anirudh Sreeram, Anurenjan Purushothaman, Sriram Ganapathy:
Unsupervised Neural Mask Estimator For Generalized Eigen-Value Beamforming Based ASR. CoRR abs/1911.12617 (2019) - [i4]Naoya Takahashi, Mayank Kumar Singh, Sakya Basak, Sudarsanam Parthasaarathy, Sriram Ganapathy, Yuki Mitsufuji:
Improving Voice Separation by Incorporating End-to-end Speech Recognition. CoRR abs/1911.12928 (2019) - 2018
- [c63]Neville Ryant, Elika Bergelson, Kenneth Church, Alejandrina Cristià, Jun Du, Sriram Ganapathy, Sanjeev Khudanpur, Diana Kowalski, Mahesh Krishnamoorthy, Rajat Kulshreshta, Mark Liberman, Yu-Ding Lu, Matthew Maciejewski, Florian Metze, Ján Profant, Lei Sun, Yu Tsao, Zhou Yu:
Enhancement and Analysis of Conversational Speech: JSALT 2017. ICASSP 2018: 5154-5158 - [c62]Neeraj Sajjan, Shobhana Ganesh, Neeraj Kumar Sharma, Sriram Ganapathy, Neville Ryant:
Leveraging LSTM Models for Overlap Detection in Multi-Party Meetings. ICASSP 2018: 5249-5253 - [c61]Sriram Ganapathy, Vijayaditya Peddinti:
3-D CNN Models for Far-Field Multi-Channel Speech Recognition. ICASSP 2018: 5499-5503 - [c60]Shreyas Ramoji, Sriram Ganapathy:
Supervised I-vector Modeling - Theory and Applications. INTERSPEECH 2018: 1091-1095 - [c59]Rajath Kumar, Vaishnavi Yeruva, Sriram Ganapathy:
On Convolutional LSTM Modeling for Joint Wake-Word Detection and Text Dependent Speaker Verification. INTERSPEECH 2018: 1121-1125 - [c58]Alejandrina Cristià, Shobhana Ganesh, Marisa Casillas, Sriram Ganapathy:
Talker Diarization in the Wild: the Case of Child-centered Daylong Audio-recordings. INTERSPEECH 2018: 2583-2587 - [c57]Purvi Agrawal, Sriram Ganapathy:
Comparison of Unsupervised Modulation Filter Learning Methods for ASR. INTERSPEECH 2018: 2908-2912 - [c56]Sriram Ganapathy, Madhumita Harish:
Far-Field Speech Recognition Using Multivariate Autoregressive Models. INTERSPEECH 2018: 3023-3027 - [c55]Sriram Ganapathy:
Speaker and Language Recognition - From Laboratory Technologies to the Wild. INTERSPEECH 2018: 3443 - [c54]Bharat Padi, Shreyas Ramoji, Vaishnavi Yeruva, Satish Kumar, Sriram Ganapathy:
The LEAP Language Recognition System for LRE 2017 Challenge - Improvements and Error Analysis. Odyssey 2018: 31-38 - 2017
- [j7]György Kovács, László Tóth, Dirk Van Compernolle, Sriram Ganapathy:
Increasing the robustness of CNN acoustic models using autoregressive moving average spectrogram features and channel dropout. Pattern Recognit. Lett. 100: 44-50 (2017) - [j6]Sriram Ganapathy:
Multivariate Autoregressive Spectrogram Modeling for Noisy Speech Recognition. IEEE Signal Process. Lett. 24(9): 1373-1377 (2017) - [c53]Aditya Siddhant, Preethi Jyothi, Sriram Ganapathy:
Leveraging native language speech for accent identification using deep Siamese networks. ASRU 2017: 621-628 - [c52]T. K. Ansari, Rajath Kumar, Sonali Singh, Sriram Ganapathy:
Deep learning methods for unsupervised acoustic modeling - Leap submission to ZeroSpeech challenge 2017. ASRU 2017: 754-761 - [c51]T. K. Ansari, Rajath Kumar, Sonali Singh, Sriram Ganapathy, V. Susheela Devi:
Unsupervised HMM posteriograms for language independent acoustic modeling in zero resource conditions. ASRU 2017: 762-768 - [c50]Dhanush B. K, Suparna S, Aarthy R, Likhita C, Shashank D, Harish H, Sriram Ganapathy:
Factor analysis methods for joint speaker verification and spoof detection. ICASSP 2017: 5385-5389 - [c49]Purvi Agrawal, Sriram Ganapathy:
Speech Representation Learning Using Unsupervised Data-Driven Modulation Filtering for Robust ASR. INTERSPEECH 2017: 2446-2450 - [c48]Nagendra Kumar, Rohan Kumar Das, Sarfaraz Jelil, Dhanush B. K, H. Kashyap, K. Sri Rama Murty, Sriram Ganapathy, Rohit Sinha, S. R. Mahadeva Prasanna:
IITG-Indigo System for NIST 2016 SRE Challenge. INTERSPEECH 2017: 2859-2863 - [i3]Aditya Siddhant, Preethi Jyothi, Sriram Ganapathy:
Leveraging Native Language Speech for Accent Identification using Deep Siamese Networks. CoRR abs/1712.08992 (2017) - 2016
- [c47]Seyed Omid Sadjadi, Sriram Ganapathy, Jason W. Pelecanos:
Speaker age estimation on conversational telephone speech using senone posterior based i-vectors. ICASSP 2016: 5040-5044 - [c46]Seyed Omid Sadjadi, Jason W. Pelecanos, Sriram Ganapathy:
The IBM Speaker Recognition System: Recent Advances and Error Analysis. INTERSPEECH 2016: 3633-3637 - [c45]Dimitrios Dimitriadis, Samuel Thomas, Sriram Ganapathy:
An Investigation on the Use of i-Vectors for Robust ASR. INTERSPEECH 2016: 3828-3832 - [c44]Seyed Omid Sadjadi, Sriram Ganapathy, Jason W. Pelecanos:
The IBM 2016 Speaker Recognition System. Odyssey 2016: 174-180 - [i2]Seyed Omid Sadjadi, Sriram Ganapathy, Jason W. Pelecanos:
The IBM 2016 Speaker Recognition System. CoRR abs/1602.07291 (2016) - [i1]Seyed Omid Sadjadi, Jason W. Pelecanos, Sriram Ganapathy:
The IBM Speaker Recognition System: Recent Advances and Error Analysis. CoRR abs/1605.01635 (2016) - 2015
- [c43]Seyed Omid Sadjadi, Jason W. Pelecanos, Sriram Ganapathy:
Nearest neighbor discriminant analysis for language recognition. ICASSP 2015: 4205-4209 - [c42]Sriram Ganapathy:
Robust speech processing using ARMA spectrogram models. ICASSP 2015: 5029-5033 - [c41]Sriram Ganapathy, Samuel Thomas, Dimitrios Dimitriadis, Steven J. Rennie:
Investigating factor analysis features for deep neural networks in noisy speech recognition. INTERSPEECH 2015: 1898-1902 - 2014
- [j5]Sriram Ganapathy, Sri Harish Reddy Mallidi, Hynek Hermansky:
Robust Feature Extraction Using Modulation Filtering of Autoregressive Models. IEEE ACM Trans. Audio Speech Lang. Process. 22(8): 1285-1295 (2014) - [c40]Samuel Thomas, Sriram Ganapathy, George Saon, Hagen Soltau:
Analyzing convolutional neural networks for speech activity detection in mismatched acoustic conditions. ICASSP 2014: 2519-2523 - [c39]Mohamed Kamal Omar, Sriram Ganapathy:
Shift-invariant features for speech activity detection in adverse radio-frequency channel conditions. ICASSP 2014: 6309-6313 - [c38]Sriram Ganapathy, Kyu Jeong Han, Samuel Thomas, Mohamed Kamal Omar, Maarten Van Segbroeck, Shrikanth S. Narayanan:
Robust language identification using convolutional neural network features. INTERSPEECH 2014: 1846-1850 - 2013
- [j4]Sriram Ganapathy, Jason W. Pelecanos:
Enhancing Frequency Shifted Speech Signals in Single Side-Band Communication. IEEE Signal Process. Lett. 20(12): 1231-1234 (2013) - [c37]Sriram Ganapathy, Mohamed Kamal Omar, Jason W. Pelecanos:
Unsupervised channel adaptation for language identification using co-training. ICASSP 2013: 6857-6861 - [c36]Kyu Jeong Han, Sriram Ganapathy, Ming Li, Mohamed Kamal Omar, Shrikanth S. Narayanan:
TRAP language identification system for RATS phase II evaluation. INTERSPEECH 2013: 1502-1506 - [c35]George Saon, Samuel Thomas, Hagen Soltau, Sriram Ganapathy, Brian Kingsbury:
The IBM speech activity detection system for the DARPA RATS program. INTERSPEECH 2013: 3497-3501 - [c34]Sri Harish Reddy Mallidi, Sriram Ganapathy, Hynek Hermansky:
Robust speaker recognition using spectro-temporal autoregressive models. INTERSPEECH 2013: 3689-3693 - 2012
- [c33]Hans-Günter Hirsch, Sriram Ganapathy, Hynek Hermansky:
Comparison of Different Approaches for Speech Recognition in Hands-free Mode. ITG Conference on Speech Communication 2012: 1-4 - [c32]Daniel Garcia-Romero, Xinhui Zhou, Dmitry N. Zotkin, Balaji Vasan Srinivasan, Yuancheng Luo, Sriram Ganapathy, Samuel Thomas, Sridhar Krishna Nemala, Garimella S. V. S. Sivaram, Majid Mirbagheri, Sri Harish Reddy Mallidi, Thomas Janu, Padmanabhan Rajan, Nima Mesgarani, Mounya Elhilali, Hynek Hermansky, Shihab A. Shamma, Ramani Duraiswami:
The UMD-JHU 2011 speaker recognition system. ICASSP 2012: 4229-4232 - [c31]Samuel Thomas, Sriram Ganapathy, Hynek Hermansky:
Multilingual MLP features for low-resource LVCSR systems. ICASSP 2012: 4269-4272 - [c30]Samuel Thomas, Sriram Ganapathy, Aren Jansen, Hynek Hermansky:
Data-driven Posterior Features for Low Resource Speech Recognition Applications. INTERSPEECH 2012: 791-794 - [c29]Sriram Ganapathy, Hynek Hermansky:
Analysis of Temporal Resolution in Frequency Domain Linear Prediction. INTERSPEECH 2012: 1828-1831 - [c28]Samuel Thomas, Sri Harish Reddy Mallidi, Sriram Ganapathy, Hynek Hermansky:
Adaptation transforms of auto-associative neural networks as features for speaker verification. Odyssey 2012: 98-104 - [c27]Sriram Ganapathy, Samuel Thomas, Hynek Hermansky:
Feature extraction using 2-d autoregressive models for speaker recognition. Odyssey 2012: 229-235 - [c26]Sriram Ganapathy, Mohamed Kamal Omar, Jason W. Pelecanos:
Noisy channel adaptation in language identification. SLT 2012: 307-312 - 2011
- [c25]Sriram Ganapathy, Jason W. Pelecanos, Mohamed Kamal Omar:
Feature normalization for speaker verification in room reverberation. ICASSP 2011: 4836-4839 - [c24]Sri Harish Reddy Mallidi, Sriram Ganapathy, Hynek Hermansky:
Modulation Spectrum Analysis for Recognition of Reverberant Speech. INTERSPEECH 2011: 189-192 - [c23]Sriram Ganapathy, Padmanabhan Rajan, Hynek Hermansky:
Multi-layer perceptron based speech activity detection for speaker verification. WASPAA 2011: 321-324 - 2010
- [j3]Petr Motlícek, Sriram Ganapathy, Hynek Hermansky, Harinath Garudadri:
Wide-Band Audio Coding Based on Frequency-Domain Linear Prediction. EURASIP J. Audio Speech Music. Process. 2010 (2010) - [j2]Sriram Ganapathy, Petr Motlícek, Hynek Hermansky:
Autoregressive Models of Amplitude Modulations in Audio Compression. IEEE Trans. Speech Audio Process. 18(6): 1624-1631 (2010) - [c22]Sriram Ganapathy, Samuel Thomas, Hynek Hermansky:
Robust spectro-temporal features based on autoregressive models of Hilbert envelopes. ICASSP 2010: 4286-4289 - [c21]Sriram Ganapathy, Samuel Thomas, Hynek Hermansky:
Comparison of modulation features for phoneme recognition. ICASSP 2010: 5038-5041 - [c20]Samuel Thomas, Sriram Ganapathy, Hynek Hermansky:
Cross-lingual and multi-stream posterior features for low resource LVCSR systems. INTERSPEECH 2010: 877-880 - [c19]Garimella S. V. S. Sivaram, Sriram Ganapathy, Hynek Hermansky:
Sparse auto-associative neural networks: theory and application to speech recognition. INTERSPEECH 2010: 2270-2273 - [c18]Samuel Thomas, Kailash Patil, Sriram Ganapathy, Nima Mesgarani, Hynek Hermansky:
A phoneme recognition framework based on auditory spectro-temporal receptive fields. INTERSPEECH 2010: 2458-2461
2000 – 2009
- 2009
- [c17]Sriram Ganapathy, Samuel Thomas, Hynek Hermansky:
Temporal envelope subtraction for robust speech recognition using modulation spectrum. ASRU 2009: 164-169 - [c16]Samuel Thomas, Sriram Ganapathy, Hynek Hermansky:
Phoneme recognition using spectral envelope and modulation frequency features. ICASSP 2009: 4453-4456 - [c15]Petr Motlícek, Sriram Ganapathy, Hynek Hermansky:
Arithmetic coding of sub-band residuals in FDLP speech/audio codec. INTERSPEECH 2009: 2591-2594 - [c14]Sriram Ganapathy, Samuel Thomas, Hynek Hermansky:
Static and dynamic modulation spectrum for speech recognition. INTERSPEECH 2009: 2823-2826 - [c13]Samuel Thomas, Sriram Ganapathy, Hynek Hermansky:
Tandem representations of spectral envelope and modulation frequency features for ASR. INTERSPEECH 2009: 2955-2958 - [c12]Sriram Ganapathy, Petr Motlícek, Hynek Hermansky:
Error Resilient Speech Coding Using Sub-band Hilbert Envelopes. TSD 2009: 355-362 - [c11]Sriram Ganapathy, Samuel Thomas, Petr Motlícek, Hynek Hermansky:
Applications of signal analysis using autoregressive models for amplitude modulation. WASPAA 2009: 341-344 - 2008
- [j1]Samuel Thomas, Sriram Ganapathy, Hynek Hermansky:
Recognition of Reverberant Speech Using Frequency Domain Linear Prediction. IEEE Signal Process. Lett. 15: 681-684 (2008) - [c10]Samuel Thomas, Sriram Ganapathy, Hynek Hermansky:
Spectro-temporal features for Automatic Speech Recognition using Linear Prediction in spectral domain. EUSIPCO 2008: 1-4 - [c9]Sriram Ganapathy, Petr Motlícek, Hynek Hermansky, Harinath Garudadri:
Temporal masking for bit-rate reduction in audio codec based on Frequency Domain Linear Prediction. ICASSP 2008: 4781-4784 - [c8]Sriram Ganapathy, Petr Motlícek, Hynek Hermansky, Harinath Garudadri:
Spectral noise shaping: improvements in speech/audio codec based on linear prediction in spectral domain. INTERSPEECH 2008: 675-678 - [c7]Sriram Ganapathy, Samuel Thomas, Hynek Hermansky:
Front-end for far-field speech recognition based on frequency domain linear prediction. INTERSPEECH 2008: 984-987 - [c6]Samuel Thomas, Sriram Ganapathy, Hynek Hermansky:
Hilbert envelope based spectro-temporal features for phoneme recognition in telephone speech. INTERSPEECH 2008: 1521-1524 - [c5]Samuel Thomas, Sriram Ganapathy, Hynek Hermansky:
Hilbert Envelope Based Features for Far-Field Speech Recognition. MLMI 2008: 119-124 - [c4]Petr Motlícek, Sriram Ganapathy, Hynek Hermansky, Harinath Garudadri, Marios Athineos:
Perceptually Motivated Sub-band Decomposition for FDLP Audio Coding. TSD 2008: 435-442 - 2007
- [c3]Petr Motlícek, Sriram Ganapathy, Hynek Hermansky, Harinath Garudadri:
Frequency Domain Linear Prediction for QMF Sub-bands and Applications to Audio Coding. MLMI 2007: 248-258 - [c2]Petr Motlícek, Hynek Hermansky, Sriram Ganapathy, Harinath Garudadri:
Non-uniform Speech/Audio Coding Exploiting Predictability of Temporal Evolution of Spectral Envelopes. TSD 2007: 350-357 - 2003
- [c1]Sriram Ganapathy, Kevin M. Passino:
Agreement strategies for cooperative control of uninhabited autonomous vehicles. ACC 2003: 1026-1031
Coauthor Index
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