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ASR for Under-Resourced Languages From Probabilistic Transcription.

M. Hasegawa-Johnson, P. Jyothi, D. McCloy, M. Mirbagheri, G. di Liberto, A. Das, B. Ekin, C. Liu, V. Manohar, H. Tang, E. Lalor, N. Chen, P. Hager, T. Kekona, R. Sloan, and A. Lee. IEEE/ACM Trans. Audio, Speech & Language Processing, 25 (1): 46-59 (2017)

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A comparison of audio-free speech recognition error prediction methods.P. Jyothi, and E. Fosler-Lussier. INTERSPEECH, page 1211-1214. ISCA, (2009)Improved feature selection and classification for rheumatoid arthritis disease using weighted decision tree approach (REACT).S. Shanmugam, and P. Jyothi. The Journal of Supercomputing, 75 (8): 5507-5519 (2019)Improved Accented Speech Recognition Using Accent Embeddings and Multi-task Learning.A. Jain, M. Upreti, and P. Jyothi. INTERSPEECH, page 2454-2458. ISCA, (2018)Large-scale discriminative language model reranking for voice-search.P. Jyothi, L. Johnson, C. Chelba, and B. Strope. WLM@NAACL-HLT, page 41-49. Association for Computational Linguistics, (2012)Articulatory feature-based pronunciation modeling.K. Livescu, P. Jyothi, and E. Fosler-Lussier. Computer Speech & Language, (2016)Conditional Random Fields in Speech, Audio, and Language Processing.E. Fosler-Lussier, Y. He, P. Jyothi, and R. Prabhavalkar. Proceedings of the IEEE, 101 (5): 1054-1075 (2013)Disfluency Correction using Unsupervised and Semi-supervised Learning.N. Saini, D. Trivedi, S. Khare, T. Dhamecha, P. Jyothi, S. Bharadwaj, and P. Bhattacharyya. EACL, page 3421-3427. Association for Computational Linguistics, (2021)Discriminatively learning factorized finite state pronunciation models from dynamic Bayesian networks.P. Jyothi, E. Fosler-Lussier, and K. Livescu. INTERSPEECH, page 1063-1066. ISCA, (2012)Investigations into the Crandem Approach to Word Recognition.R. Prabhavalkar, P. Jyothi, W. Hartmann, J. Morris, and E. Fosler-Lussier. HLT-NAACL, page 725-728. The Association for Computational Linguistics, (2010)Code-switched Language Models Using Dual RNNs and Same-Source Pretraining.S. Garg, T. Parekh, and P. Jyothi. EMNLP, page 3078-3083. Association for Computational Linguistics, (2018)

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ASR for Under-Resourced Languages From Probabilistic Transcription.

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ASR for Under-Resourced Languages From Probabilistic Transcription.