| Active Learning Methods for Low Resource End-to-End Speech Recognition. K Malhotra, S Bansal, S Ganapathy INTERSPEECH, 2215-2219, 2019 | 21 | 2019 |
| Emotion recognition using facial and audio features T Krishna, A Rai, S Bansal, S Khandelwal, S Gupta, D Goyal Proceedings of the 15th ACM on International conference on multimodal …, 2013 | 10 | 2013 |
| On Improving Code Mixed Speech Synthesis with Mixlingual Grapheme-to-Phoneme Model. S Bansal, A Mukherjee, S Satpal, RK Mehta INTERSPEECH, 2957-2961, 2020 | 9 | 2020 |
| Text aware Emotional Text-to-speech with BERT A Mukherjee, S Bansal, S Satpal, R Mehta Proc. Interspeech 2022, 4601-4605, 2022 | 5 | 2022 |
| Speaker and language aware training for end-to-end ASR S Bansal, K Malhotra, S Ganapathy 2019 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU …, 2019 | 5 | 2019 |
| LeanSpeech: The Microsoft Lightweight Speech Synthesis System for Limmits Challenge 2023 C Zhang, S Bansal, A Lakhera, J Li, G Wang, S Satpal, S Zhao, L He ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 1 | 2023 |
| Computing system for domain expressive text to speech A Mukherjee, S Bansal, S Satpal, RR Mehta US Patent App. 17/524,288, 2023 | 1 | 2023 |
| Computing system for unsupervised emotional text to speech training A Mukherjee, S Bansal, S Satpal, RR Mehta US Patent App. 17/677,976, 2023 | | 2023 |
