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.