Papers
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“Avengers, Ensemble! Benefits of ensembling in grapheme-to-phoneme prediction” (2021). Proceedings of the 18th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology. Vasundhara Gautam, Wang Yau Li, Zafarullah Mahmood, Fred Mailhot, Shreekantha Nadig, Riqiang Wang, and Nathan Zhang.
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”Multi-target hybrid CTC-Attentional Decoder for joint phoneme-grapheme recognition” (2020). International Conference on Signal Processing and Communications (SPCOM), Bangalore, India, 2020. Shreekantha Nadig, V. Ramasubramanian, Sachit Rao.
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”Jointly learning to align and transcribe using attention-based alignment and uncertainty-to-weigh losses” (2020). International Conferenceon Signal Processing and Communications (SPCOM), Bangalore, India, 2020 Shreekantha Nadig, Sumit Chakraborty, Anuj Shah, Chaitanay Sharma, V. Ramasubramanian, Sachit Rao (Best Student Paper Award – Honorable Mention)
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“Semi-supervised learning for acoustic model retraining: Handling speech data with noisy transcript” (2020). International Conference on Signal Processing and Communications (SPCOM), Bangalore, India, 2020 Abhijith Madan, Ayush Khopkar, Shreekantha Nadig, K. M. Srinivasa Raghavan, V. Ramasubramanian
Posters
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“N-gram boosting: Improving contextual biasing with normalized n-gram targets” (2022). SANE 2022 - Speech and Audio in the Northeast Wang Yau Li, Shreekantha Nadig, Karol Chang, Zafarullah Mahmood, Riqiang Wang, Simon Vandieken, Jonas Robertson, Fred Mailhot
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“Improving ASR accuracy on a collection of dialects using active learning techniques” (2022). SANE 2022 - Speech and Audio in the Northeast Riqiang Wang, Yiming Zhang, Tania Habib, Shreekantha Nadig, Simon Vandieken, Jonas Robertson