A Hybrid Ensemble Stacking Model for Gender Voice Recognition Approach

A Hybrid Ensemble Stacking Model for Gender Voice Recognition Approach

Gender recognition by voice is a vital research subject in speech processing and acoustics, as human voices have many remarkable characteristics. Voice recognition is beneficial in a variety of applications, including mobile health care systems, interactive systems, crime analysis, and recognition s...

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Bibliographic Details
Main Authors:	Eman H. Alkhammash, Myriam Hadjouni, Ahmed M. Elshewey
Format:	Article
Language:	English
Published:	MDPI AG 2022-05-01
Series:	Electronics
Subjects:	machine learning stacking model ensemble learning k-nearest neighbor stochastic gradient descent support vector machine
Online Access:	https://www.mdpi.com/2079-9292/11/11/1750

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