Preethi Jyothi
Preethi Jyothi
Associate Professor of Computer Science and Engineering, Indian Institute of Technology Bombay
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Cited by
Cited by
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
Improved Accented Speech Recognition Using Accent Embeddings and Multi-task Learning.
A Jain, M Upreti, P Jyothi
Interspeech, 2454-2458, 2018
Cross-lingual training for automatic question generation
V Kumar, N Joshi, A Mukherjee, G Ramakrishnan, P Jyothi
arXiv preprint arXiv:1906.02525, 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
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
Acquiring speech transcriptions using mismatched crowdsourcing
P Jyothi, M Hasegawa-Johnson
Proceedings of the AAAI Conference On Artificial Intelligence 29 (1), 2015
Discriminative language modeling using simulated ASR errors
P Jyothi, E Fosler-Lussier
Eleventh Annual Conference of the International Speech Communication Association, 2010
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
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
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
Transcribing continuous speech using mismatched crowdsourcing
P Jyothi, M Hasegawa-Johnson
Sixteenth Annual Conference of the International Speech Communication …, 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
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
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
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
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
Dual language models for code switched speech recognition
S Garg, T Parekh, P Jyothi
arXiv preprint arXiv:1711.01048, 2017
Articulatory feature-based pronunciation modeling
K Livescu, P Jyothi, E Fosler-Lussier
Computer Speech & Language 36, 212-232, 2016
Discriminative language modeling for automatic speech recognition with a weak acoustic model and distributed training
CI Chelba, B Strope, P Jyothi, L Johnson
US Patent 8,965,763, 2015
From machine translation to code-switching: Generating high-quality code-switched text
I Tarunesh, S Kumar, P Jyothi
arXiv preprint arXiv:2107.06483, 2021
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