Author:
Mehra Sunakshi,Ranga Virender,Agarwal Ritu
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Signal Processing
Reference47 articles.
1. Srivastava, N., Hinton, G., Krizhevsky, A., Sutskever, I., Salakhutdinov, R.: Dropout: a simple way to prevent neural networks from overfitting. J. Mach. Learn. Res. 15(1), 1929–1958 (2014)
2. Iqbal, A., Aftab, S.: A classification framework for software defect prediction using multi-filter feature selection technique and MLP. Int. J. Mod. Educ. Comput. Sci. 12(1), 18 (2020)
3. Hermansky, H.: The modulation spectrum in the automatic recognition of speech. In: 1997 IEEE Workshop on Automatic Speech Recognition and Understanding Proceedings, pp. 140–147. IEEE (1997)
4. Sadhu, S., Hermansky, H.: Importance of different temporal modulations of speech: a tale of two perspectives. In: ICASSP 2023–2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 1–5. IEEE (2023)
5. Narayanan, A., Wang, D.: Ideal ratio mask estimation using deep neural networks for robust speech recognition. In: 2013 IEEE International Conference on Acoustics, Speech and Signal Processing, pp. 7092–7096. IEEE (2013)
Cited by
3 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献