Author:
Asbai Nassim,Bengherabi Messaoud,Amrouche Abderrahmane,Aklouf Youcef
Publisher
Springer Science and Business Media LLC
Subject
Computer Vision and Pattern Recognition,Linguistics and Language,Human-Computer Interaction,Language and Linguistics,Software
Reference21 articles.
1. Amrouche, A., Debyeche, M., Taleb-Ahmed, A., Michel Rouvaen, J., & Yagoub, M. C. (2010). An efficient speech recognition system in adverse conditions using the nonparametric regression. Engineering Applications of Artificial Intelligence, 23(1), 85–94.
2. Asbai, N., Bengherabi, M., Amrouche, A., & Harizi, F. (2013a). Improving speaker verification robustness by front-end diversity and score level fusion. In Proceedings of 2013 International Conference on Signal-Image Technology & Internet-Based Systems (SITIS) kyoto, Japan (pp. 136–142). IEEE.
3. Asbai, N., Bengherabi, M., Harizi, F., & Amrouche, A. (2013b). Improving the performance of speaker verification systems under noisy conditions using low level features and score level fusion. In International Conference on Signal Processing and Multimedia Applications (SIGMAP), Iceland (pp. 33–38). INSTICC.
4. Berouti, M., Schwartz, R., & Makhoul, J. (1979). Enhancement of speech corrupted by acoustic noise. In Acoustics, Speech, and Signal Processing, ICASSP’79 (Vol. 4, pp. 208–211). IEEE.
5. Dehak, N., Kenny, P., Dehak, R., Dumouchel, P., & Ouellet, P. (2011). Front-end factor analysis for speaker verification. Audio, Speech, and Language Processing, IEEE Transactions on, 19(4), 788–798.
Cited by
5 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