Author:
Bahari Mohamad Hasan,McLaren Mitchell,Van hamme Hugo,van Leeuwen David A.
Funder
European Commission as a Marie-Curie ITN-project
Bayesian Biometrics for Forensics
Subject
Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering
Reference49 articles.
1. Bahari, M.H., McLaren, M., Van Leeuwen, D., Van hamme, H., 2012a. Age estimation from telephone speech using i-vectors. In: Proceedings of the Interspeech, pp. 506–509.
2. Bahari, M.H., et al., 2012b. Speaker age estimation using hidden Markov model weight supervectors. In: 11th IEEE International Conference on Information Science, Signal Processing and their Applications (ISSPA), pp. 517–521.
3. Bahari, M.H., Saeidi, R., Van hamme, H., van Leeuwen, D., 2013. Accent recognition using i-vector, gaussian mean supervector and Gaussian posterior probability supervector for spontaneous telephone speech. In: International Conference on Acoustics, Speech, and Signal Processing, pp. 7344–7348.
4. Bahari, M.H., Van hamme, H., 2011. Speaker age estimation and gender detection based on supervised non-negative matrix factorization. In: Proceedings of the IEEE Workshop on Biometric Measurements and Systems for Security and Medical Applications (BIOMS), pp. 1–6.
5. Bahari, M.H.; Dehak, N.; Van hamme, H.; Burget, L.; Ali, A.M.; Glass, J., "Non-Negative Factor Analysis of Gaussian Mixture Model Weight Adaptation for Language and Dialect Recognition,"Audio, Speech, and Language Processing, IEEE/ACM Transactions on, vol.22, no.7, pp.1117-1129, 2014. doi: 10.1109/TASLP.2014.2319159
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