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Anoop, CS and Ramakrishnan, AG (2023) Exploring a Unified ASR for Multiple South Indian Languages Leveraging Multilingual Acoustic and Language Models. In: 2022 IEEE Spoken Language Technology Workshop, SLT 2022, 9 - 12 January 2023, Doha, pp. 830-837.
Anoop, CS and Ramakrishnan, AG (2021) Investigation of Different G2P Schemes for Speech Recognition in Sanskrit. In: 28th International Conference on Neural Information Processing, ICONIP 2021, 8 - 12 Dec 2021, Virtual, Online, pp. 536-547.
Anoop, CS and Prathosh, AP and Ramakrishnan, AG (2021) Unsupervised Domain Adaptation Schemes for Building ASR in Low-Resource Languages. In: 2021 IEEE Automatic Speech Recognition and Understanding Workshop, 13 - 17 December 2021, Cartagena, pp. 342-349.
Anoop, CS and Ramakrishnan, AG (2021) CTC-Based End-To-End ASR for the Low Resource Sanskrit Language with Spectrogram Augmentation. In: 27th National Conference on Communications, NCC 2021, 27-30 jul 2021, Kanpur.
Anoop, CS and Ramakrishnan, AG (2019) Automatic Speech Recognition for Sanskrit. In: 2019 2nd International Conference on Intelligent Computing, Instrumentation and Control Technologies, ICICICT 2019, 5-6th July 2019, Kannur, Kerala, pp. 1146-1151.
Anoop, CS and Ramakrishnan, AG (2023) Suitability of syllable-based modeling units for end-to-end speech recognition in Sanskrit and other Indian languages. In: Expert Systems with Applications, 220 .
