Funder
Science & Engineering Research Board
Publisher
Springer Science and Business Media LLC
Reference29 articles.
1. Aggarwal, R. K., & Dave, M. (2012). Integration of multiple acoustic and language models for improved Hindi speech recognition system. International Journal of Speech Technology, 15, 165–180. https://doi.org/10.1007/s10772-012-9131-y
2. Aggarwal, R. K., & Dave, M. (2013). Performance evaluation of sequentially combined heterogeneous feature streams for Hindi speech recognition system. Telecommunication Systems, 52, 1457–1466. https://doi.org/10.1007/s11235-011-9623-0
3. Alharbi, S., Alrazgan, M., Alrashed, A., Alnomasi, T., Almojel, R., Alharbi, R., Alharbi, S., Alturki, S., Alshehri, F., & Almojil, M. (2021). Automatic speech recognition: Systematic literature review. IEEE Access. https://doi.org/10.1109/ACCESS.2021.3112535
4. Anoop, S. C., & Ramakrishnan, A. G. (2021). CTC-based end-to-end ASR for the low resource sanskrit language with spectrogram augmentation. In 2021 national conference on communications (NCC). IEEE. https://doi.org/10.1109/ncc52529.2021.9530162
5. Chadha, H. S., Shah, P., Dhuriya, A., Chhimwal, N., Gupta, A., & Raghavan, V. (2022). Code switched and code mixed speech recognition for Indic languages. arXiv preprint arXiv:2203.16578.