Moataz M. H. El Ayadi

According to our database1, Moataz M. H. El Ayadi authored at least 17 papers between 2004 and 2021.

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Bibliography

2021
A Gibbs Sampling-based approach for parameter estimation of the EGK distribution.
Signal Process., 2021

2017
Text-independent speaker identification using robust statistics estimation.
Speech Commun., 2017

2016
Closed-Form Exact and Asymptotic Expressions for the Symbol Error Rate and Capacity of the H-Function Fading Channel.
IEEE Trans. Veh. Technol., 2016

Unified approach for probability of detection evaluation over generalised fading channels.
IET Commun., 2016

2014
Novel Tight Closed-Form Bounds for the Symbol Error Rate of EGC and MRC Diversity Receivers Employing Linear Modulations Over α-μ Fading.
Wirel. Pers. Commun., 2014

Novel Closed-Form Exact Expressions and Asymptotic Analysis for the Symbol Error Rate of Single- and Multiple-Branch MRC and EGC Receivers Over α-υ Fading.
IEEE Trans. Veh. Technol., 2014

2013
Language-independent call routing using the large margin estimation principle.
Proceedings of the 14th Annual Conference of the International Speech Communication Association, 2013

Novel simple bounds on the probability of error for EGC and MRC diversity receivers over α-μ fading.
Proceedings of the 20st International Conference on Telecommunications, 2013

2012
On the cumulative distribution function of the sum and harmonic mean of two α - μ random variables with applications.
IET Commun., 2012

2011
Survey on speech emotion recognition: Features, classification schemes, and databases.
Pattern Recognit., 2011

2010
The effect of finite sample size on the holdout error probability estimator of homoscedastic multi-class Gaussian classification problems.
Proceedings of the International Joint Conference on Neural Networks, 2010

Improving classification performance of linear feature extraction algorithms.
Proceedings of the IEEE International Conference on Acoustics, 2010

2008
Autoregressive models for text independent speaker identification in noisy environments.
PhD thesis, 2008

Toward a tight upper bound for the error probability of the binary Gaussian classification problem.
Pattern Recognit., 2008

2007
Speech Emotion Recognition using Gaussian Mixture Vector Autoregressive Models.
Proceedings of the IEEE International Conference on Acoustics, 2007

2005
Enhancing the Performance of Gaussian Mixture Model-Based Text Independent Speaker Identification.
Int. J. Speech Technol., 2005

2004
On the Determination of Optimal Model Order for GMM-Based Text-Independent Speaker Identification.
EURASIP J. Adv. Signal Process., 2004


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