| Model adaptation for ASR in low-resource Indian languages A Singh, AS Mehta, J Nanavati, J Bandekar, K Basumatary, S Badiger, ... arXiv preprint arXiv:2307.07948, 2023 | 5 | 2023 |
| Lightweight, Multi-speaker, Multi-lingual Indic Text-To-Speech A Singh, A Nagireddi, A Jayakumar, G Deekshitha, J Bandekar, R Roopa, ... IEEE Open Journal of Signal Processing, 2024 | | 2024 |
| Gated Multi Encoders and Multitask Objectives for Dialectal Speech Recognition in Indian Languages S Udupa, J Bandekar, G Deekshitha, S Kumar, PK Ghosh, S Badiger, ... 2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), 1-8, 2023 | | 2023 |
| An End-to-End TTS Model in Chhattisgarhi, a Low-Resource Indian Language A Singh, A Jayakumar, G Deekshitha, H Kumar, J Bandekar, S Badiger, ... International Conference on Speech and Computer, 164-172, 2023 | | 2023 |
| An ASR Corpus in Chhattisgarhi, a Low Resource Indian Language A Singh, AS Mehta, KS Ashish Khuraishi, G Deekshitha, G Date, ... International Conference on Speech and Computer, 173-181, 2023 | | 2023 |
| Speaking rate attention-based duration prediction for speed control TTS J Bandekar, S Udupa, A Singh, A Jayakumar, S Badiger, S Kumar, P VH, ... arXiv preprint arXiv:2310.08846, 2023 | | 2023 |
| Exploring a classification approach using quantised articulatory movements for acoustic to articulatory inversion J Bandekar, S Udupa, PK Ghosh | | |
