Preethi Jyothi

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Mark Hasegawa-JohnsonProfessor of Electrical and Computer Engineering, University of IllinoisVerified email at illinois.edu
Ganesh RamakrishnanProfessor, Department of Computer Science and Engineering, Indian Institute of Technology BombayVerified email at cse.iitb.ac.in
Sunita SarawagiIndian Institute of Technology Bombay, Mumbai, India.Verified email at iitb.ac.in
Eric Fosler-LussierJohn Makhoul Professor of Computer Science & Engineering, The Ohio State UniversityVerified email at cse.ohio-state.edu
Soumen ChakrabartiIIT BombayVerified email at cse.iitb.ac.in
Karen LivescuTTI-ChicagoVerified email at ttic.edu
Siddhartha ChaudhuriSenior Research Scientist, AdobeVerified email at cse.iitb.ac.in
Vihari PiratlaPostdoc, Cambridge UniversityVerified email at cam.ac.uk
Ciprian ChelbaResearch Scientist, GoogleVerified email at google.com
Leif JohnsonWaymoVerified email at waymo.com
Rohit PrabhavalkarStaff Research Scientist, GoogleVerified email at google.com
Jennifer ColeProfessor of Linguistics, Northwestern UniversityVerified email at northwestern.edu
Vimal ManoharJohns Hopkins UniversityVerified email at jhu.edu
Chunxi LiuTwo SigmaVerified email at twosigma.com
Lav R. VarshneyUniversity of Illinois Urbana-ChampaignVerified email at illinois.edu
Tanmay ParekhStudent, University of California Los AngelesVerified email at ucla.edu
Amit DasElectrical and Computer Engineering, University of IllinoisVerified email at illinois.edu
Nitish JoshiNew York UniversityVerified email at nyu.edu
Nancy F. ChenPrincipal Scientist, Principal Investigator, Group Leader, Institute for Infocomm Research, A*STARVerified email at csail.mit.edu
Abhinav JainSenior Software Engineer, Samsung R&D BangaloreVerified email at samsung.com

Preethi Jyothi

Associate Professor of Computer Science and Engineering, Indian Institute of Technology Bombay

Verified email at cse.iitb.ac.in

Speech Recognition Natural Language Processing Machine Learning


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Generalizing across domains via cross-gradient training S Shankar, V Piratla, S Chakrabarti, S Chaudhuri, P Jyothi, S Sarawagi arXiv preprint arXiv:1804.10745, 2018	391	2018
Improved Accented Speech Recognition Using Accent Embeddings and Multi-task Learning. A Jain, M Upreti, P Jyothi Interspeech, 2454-2458, 2018	93	2018
Cross-lingual training for automatic question generation V Kumar, N Joshi, A Mukherjee, G Ramakrishnan, P Jyothi arXiv preprint arXiv:1906.02525, 2019	46	2019
Multilingual and code-switching ASR challenges for low resource Indian languages A Diwan, R Vaideeswaran, S Shah, A Singh, S Raghavan, S Khare, ... arXiv preprint arXiv:2104.00235, 2021	43	2021
Conditional random fields in speech, audio, and language processing E Fosler-Lussier, Y He, P Jyothi, R Prabhavalkar Proceedings of the IEEE 101 (5), 1054-1075, 2013	42	2013
Acquiring speech transcriptions using mismatched crowdsourcing P Jyothi, M Hasegawa-Johnson Proceedings of the AAAI Conference On Artificial Intelligence 29 (1), 2015	41	2015
ASR for under-resourced languages from probabilistic transcription MA Hasegawa-Johnson, P Jyothi, D McCloy, M Mirbagheri, GM Di Liberto, ... IEEE/ACM Transactions on Audio, Speech, and Language Processing 25 (1), 50-63, 2016	38	2016
Discriminative language modeling using simulated ASR errors P Jyothi, E Fosler-Lussier Eleventh Annual Conference of the International Speech Communication Association, 2010	38	2010
Code-switched Language Models Using Dual RNNs and Same-Source Pretraining S Garg, T Parekh, P Jyothi Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018	37	2018
Adapting ASR for under-resourced languages using mismatched transcriptions C Liu, P Jyothi, H Tang, V Manohar, R Sloan, T Kekona, ... 2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016	30	2016
Transcribing continuous speech using mismatched crowdsourcing P Jyothi, M Hasegawa-Johnson Sixteenth Annual Conference of the International Speech Communication …, 2015	24	2015
Lexical access experiments with context-dependent articulatory feature-based models P Jyothi, K Livescu, E Fosler-Lussier 2011 IEEE International Conference on Acoustics, Speech and Signal …, 2011	22	2011
Low Resource ASR: The Surprising Effectiveness of High Resource Transliteration. S Khare, AR Mittal, A Diwan, S Sarawagi, P Jyothi, S Bharadwaj Interspeech, 1529-1533, 2021	21	2021
An investigation of prosody in Hindi narrative speech P Jyothi, J Cole, M Hasegawa-Johnson, V Puri Proceedings of Speech Prosody 7, 623-627, 2014	20	2014
Distributed discriminative language models for Google voice-search P Jyothi, L Johnson, C Chelba, B Strope 2012 IEEE International Conference on Acoustics, Speech and Signal …, 2012	19	2012
From machine translation to code-switching: Generating high-quality code-switched text I Tarunesh, S Kumar, P Jyothi arXiv preprint arXiv:2107.06483, 2021	18	2021
Automatic speech recognition in Sanskrit: A new speech corpus and modelling insights D Adiga, R Kumar, A Krishna, P Jyothi, G Ramakrishnan, P Goyal arXiv preprint arXiv:2106.05852, 2021	18	2021
How accents confound: Probing for accent information in end-to-end speech recognition systems A Prasad, P Jyothi Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020	18	2020
Dual language models for code switched speech recognition S Garg, T Parekh, P Jyothi arXiv preprint arXiv:1711.01048, 2017	18	2017
Articulatory feature-based pronunciation modeling K Livescu, P Jyothi, E Fosler-Lussier Computer Speech & Language 36, 212-232, 2016	18	2016

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