Preethi Jyothi 个人学术档案

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Ganesh RamakrishnanProfessor, Department of Computer Science and Engineering, Indian Institute of Technology Bombay在 cse.iitb.ac.in 的电子邮件经过验证
Mark Hasegawa-JohnsonProfessor of Electrical and Computer Engineering, University of Illinois在 illinois.edu 的电子邮件经过验证
Sunita SarawagiIndian Institute of Technology Bombay, Mumbai, India.在 iitb.ac.in 的电子邮件经过验证
Eric Fosler-LussierJohn Makhoul Professor of Computer Science & Engineering, The Ohio State University在 cse.ohio-state.edu 的电子邮件经过验证
Ashish MittalIBM Research AI在 in.ibm.com 的电子邮件经过验证
Dr. Pushpak BhattacharyyaProfessor of Computer Science and Engineering, IIT Bombay在 cse.iitb.ac.in 的电子邮件经过验证
Soumen ChakrabartiIIT Bombay在 cse.iitb.ac.in 的电子邮件经过验证
Samarth BharadwajSenior Applied Scientist, Microsoft | ex-IBM Research在 microsoft.com 的电子邮件经过验证
Anuj DiwanPhD CS at The University of Texas at Austin在 utexas.edu 的电子邮件经过验证
Karen LivescuTTI-Chicago在 ttic.edu 的电子邮件经过验证
Siddhartha ChaudhuriSenior Research Scientist, Adobe在 cse.iitb.ac.in 的电子邮件经过验证
Vihari PiratlaPostdoc, Cambridge University在 cam.ac.uk 的电子邮件经过验证
Sunayana SitaramMicrosoft Research India在 microsoft.com 的电子邮件经过验证
Ciprian ChelbaResearch Scientist, Google在 google.com 的电子邮件经过验证
Leif JohnsonWaymo在 waymo.com 的电子邮件经过验证
Rohit PrabhavalkarStaff Research Scientist, Google在 google.com 的电子邮件经过验证
Jennifer ColeProfessor of Linguistics, Northwestern University在 northwestern.edu 的电子邮件经过验证
Vimal ManoharMeta Platforms Inc.在 meta.com 的电子邮件经过验证
Chunxi LiuTwo Sigma在 twosigma.com 的电子邮件经过验证
Nitish JoshiNew York University在 nyu.edu 的电子邮件经过验证

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Preethi Jyothi

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

在 cse.iitb.ac.in 的电子邮件经过验证

Speech Recognition Natural Language Processing Machine Learning


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
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	556	2018
Improved Accented Speech Recognition Using Accent Embeddings and Multi-task Learning. A Jain, M Upreti, P Jyothi Interspeech, 2454-2458, 2018	125	2018
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	81	2021
Cross-lingual training for automatic question generation V Kumar, N Joshi, A Mukherjee, G Ramakrishnan, P Jyothi arXiv preprint arXiv:1906.02525, 2019	63	2019
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	49	2013
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	43	2018
Acquiring speech transcriptions using mismatched crowdsourcing P Jyothi, M Hasegawa-Johnson Proceedings of the AAAI Conference On Artificial Intelligence 29 (1), 2015	43	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	40	2016
From machine translation to code-switching: Generating high-quality code-switched text I Tarunesh, S Kumar, P Jyothi arXiv preprint arXiv:2107.06483, 2021	38	2021
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	37	2021
Discriminative language modeling using simulated ASR errors. P Jyothi, E Fosler-Lussier Interspeech, 1049-1052, 2010	37	2010
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	34	2020
Select, substitute, search: A new benchmark for knowledge-augmented visual question answering A Jain, M Kothyari, V Kumar, P Jyothi, G Ramakrishnan, S Chakrabarti Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021	31	2021
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	31	2016
Transcribing continuous speech using mismatched crowdsourcing. P Jyothi, M Hasegawa-Johnson INTERSPEECH, 2774-2778, 2015	27	2015
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	25	2021
Error correction in asr using sequence-to-sequence models S Dutta, S Jain, A Maheshwari, S Pal, G Ramakrishnan, P Jyothi arXiv preprint arXiv:2202.01157, 2022	23	2022
An investigation of end-to-end models for robust speech recognition A Prasad, P Jyothi, R Velmurugan ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021	23	2021
Articulatory feature-based pronunciation modeling K Livescu, P Jyothi, E Fosler-Lussier Computer Speech & Language 36, 212-232, 2016	22	2016
Exploiting Monolingual Speech Corpora for Code-Mixed Speech Recognition. K Taneja, S Guha, P Jyothi, B Abraham Interspeech, 2150-2154, 2019	21	2019

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