Preethi Jyothi

Associate Professor
Department of Computer Science and Engineering, IIT Bombay

e-mail: #pjyothi# at (delete leading and trailing #'s)
office: room 221, new CSE bldg

About me: I joined the department in September 2016. Prior to that, I was a Beckman Postdoctoral Fellow at the University of Illinois at Urbana-Champaign. I obtained my Ph.D. from the CSE Department at The Ohio State University in 2013. My research interests are broadly in the areas of automatic speech recognition and machine learning as applied to speech.

Student projects: I am currently not offering any internship positions or research projects to students outside IIT Bombay. Apologies for not being able to individually respond to the numerous student emails enquiring about this.


Please visit my lab (CSALT) page for more details about our research.

Older Publications (pre-IITB)

  • A. Siddhant, P. Jyothi, S. Ganapathy

    Leveraging native language speech for accent identification using deep Siamese networks

    pdf ASRU 2017 (2017 IEEE Automatic Speech Recognition and Understanding Workshop), Okinawa, 2017.
  • P. Jyothi, M. Hasegawa-Johnson

    Low-resource Grapheme-to-phoneme Conversion using Recurrent Neural Networks

    pdf ICASSP 2017 (42nd International Conference on Acoustics, Speech and Language Processing), New Orleans, 2017.
  • M. Hasegawa-Johnson, P. Jyothi, D. McCloy, M. Mirbagheri, G. di Liberto, A. Das, B. Ekin, C. Liu, V. Manohar, H. Tang, E. C. Lalor, N. Chen, P. Hager, T. Kekona, R. Sloan, and A. K. C. Lee

    ASR for Under-Resourced Languages from Probabilistic Transcription

    pdf IEEE/ACM Trans. Audio, Speech and Language 25(1):46-59, 2017.
  • W. Chen, M. Hasegawa-Johnson, N. Chen, P. Jyothi, L. Varshney

    Mismatched Crowdsourcing with Clustering-based Phonetic Projection for Low-resourced ASR

    6th Workshop on South and Southeast Asian Natural Language Processing, COLING, Osaka, 2016.
  • A. Das*, P. Jyothi*, M. Hasegawa-Johnson (*Joint first author)

    Automatic speech recognition using Probabilistic Transcriptions in Swahili, Amharic, and Dinka

    pdf Interspeech 2016 (17th Annual Conference of ISCA), San Francisco, 2016.
  • X. Kong, P. Jyothi, M. Hasegawa-Johnson

    Performance Improvement of Probabilistic Transcriptions with Language-Specific Constraints

    paper SLTU 2016 (5th International Workshop on Spoken Language Technologies for Under-resourced Languages), Indonesia, 2016.
  • C. Liu*, P. Jyothi*, H. Tang, V. Manohar, R. Sloan, T. Kekona, M. Hasegawa-Johnson, S. Khudanpur
    (*Joint first author)

    Adapting ASR for Under-resourced Languages Using Mismatched Transcriptions

    pdf ICASSP 2016 (41st International Conference on Acoustics, Speech and Language Processing), Beijing, 2016.
    Received Speech and Language Processing Student Paper Award.
  • L. Varshney, P. Jyothi, M. Hasegawa-Johnson

    Language Coverage for Mismatched Crowdsourcing

    pdf ITA 2016 (2016 Information Theory Applications Workshop), San Diego, 2016.
  • P. Jyothi, M. Hasegawa-Johnson

    Transcribing Continuous Speech Using Mismatched Crowdsourcing

    pdf Interspeech 2015 (16th Annual Conference of ISCA), Dresden, 2015.
  • P. Jyothi, M. Hasegawa-Johnson

    Improving Hindi Broadcast ASR by Adapting the Language Model and Pronunciation Model Using A Priori Syntactic and Morphophonemic Knowledge

    pdf Interspeech 2015 (16th Annual Conference of ISCA), Dresden, 2015.
  • P. Jyothi, M. Hasegawa-Johnson

    Acquiring Speech Transcriptions Using Mismatched Crowdsourcing

    pdf AAAI (29th AAAI Conference on Artificial Intelligence), Austin, 2015.
  • K. Livescu, P. Jyothi, E. Fosler-Lussier

    Articulatory Feature-based Pronunciation Modeling

    paper Computer Speech and Language, 2015.
  • M. Hasegawa-Johnson, J. Cole, P. Jyothi, L. Varshney

    Models of Dataset Size, Question Design and Cross-Language Speech Perception for Speech Crowdsourcing Applications

    pdf Laboratory Phonology, 2015.
  • T. Luchkina, V. Puri, P. Jyothi, J. Cole

    Prosodic and Structural Correlates of Perceived Prominence in Russian and Hindi

    ICPhS (18th International Congress of Phonetic Sciences), Glasgow, 2015.
  • P. Jyothi, K. Livescu.

    Revisiting Word Neighborhoods for Speech Recognition.

    pdf demo MorphFSM 2014 (Joint meeting of SIGMORPHON and SIGFSM at the 52nd Annual Meeting of ACL), Baltimore, 2014.
  • P. Jyothi, J. Cole, M. Hasegawa-Johnson, V. Puri.

    An Investigation of Prosody in Hindi Narrative Speech.

    pdf Speech Prosody 2014 (7th Speech Prosody Conference), Dublin, 2014.
  • P. Jyothi, E. Fosler-Lussier, K. Livescu.

    Discriminative Training of WFST Factors with Application to Pronunciation Modeling.

    pdf Interspeech 2013 (14th Annual Conference of ISCA), Lyon, 2013.
  • E. Fosler-Lussier, P. Jyothi, J. Keshet, K. Livescu, R. Prabhavalkar, H. Tang.

    Discriminative Learning with Latent Articulatory Variables.

    pdf SPASR 2013 (Workshop on Speech Production in ASR at Interspeech), Lyon, 2013.
  • P. Jyothi, E. Fosler-Lussier and K. Livescu.

    Discriminatively Learning Factorized Finite State Pronunciation Models from Dynamic Bayesian Networks.

    pdf Interspeech 2012 (13th Annual Conference of ISCA), Portland, 2012.
    Received Best Student Paper Award.
  • E. Fosler-Lussier, Y. He, P. Jyothi, R. Prabhavalkar.

    Conditional Random Fields in Speech, Audio and Language Processing.

    pdf Proceedings of the IEEE, 101(5), 1054--1075, 2012.
  • P. Jyothi, L. Johnson, C. Chelba, and B. Strope.

    Large-scale Discriminative Language Model Reranking for Voice-Search.

    pdf WLM 2012 (Workshop on the Future of Language Modeling at 12th Annual Conference of NAACL-HLT), Montreal, 2012.
  • P. Jyothi, L. Johnson, C. Chelba, and B. Strope.

    Distributed Discriminative Language Models for Google Voice-Search.

    pdf ICASSP 2012 (37th International Conference on Acoustics, Speech and Language Processing), Kyoto, 2012.
  • P. Jyothi, K. Livescu, and E. Fosler-Lussier.

    Lexical Access Experiments with Context-Dependent Articulatory Feature-Based Models.

    pdf ICASSP 2011 (36th International Conference on Acoustics, Speech and Language Processing), Prague, 2011.
  • P. Jyothi and E. Fosler-Lussier.

    Discriminative Language Modeling Using Simulated ASR Errors.

    pdf Interspeech 2010 (11th Annual Conference of ISCA), Makuhari, 2010.
  • R. Prabhavalkar, P. Jyothi, W. Hartmann, J. Morris and E. Fosler-Lussier.

    Investigations into the Crandem Approach to Word Recognition.

    pdf NAACL-HLT 2010 (10th Annual Conference of NAACL-HLT), Los Angeles, 2010.
  • P. Jyothi and E. Fosler-Lussier.

    A Comparison of Audio-free Speech Recognition Error Prediction Methods.

    pdf Interspeech 2009 (10th Annual Conference of ISCA), Brighton, 2009.


[Current, On Moodle] Automatic Speech Recognition (CS753), Spring 2022.
[Material uploaded on Moodle] Foundations of Machine Learning (CS725).
[Material uploaded on Moodle] Automatic Speech Recognition (CS753).
[Material uploaded on Moodle] Foundations of Machine Learning (CS725).
Introduction to Machine Learning (CS419-M), Spring 2020.
Automatic Speech Recognition (CS753), Autumn 2019.
Foundations of Machine Learning (CS725), Autumn 2018.
Introduction to Machine Learning (CS419-M), Spring 2018.
Automatic Speech Recognition (CS753), Autumn 2017.
Automatic Speech Recognition (CS753), Spring 2017.


To be updated.