Comparative analysis of gender identification using speech analysis and higher order statistics

Ahmad Qadri, Syed Asif and Gunawan, Teddy Surya and Wani, Taiba and Alghifari, Muhammad Fahreza and Mansor, Hasmah and Kartiwi, Mira (2019) Comparative analysis of gender identification using speech analysis and higher order statistics. In: 2019 IEEE 6th International Conference on Smart Instrumentation, Measurement and Applications (ICSIMA 2019), 27 - 29 Aug 2019, Kuala Lumpur, Malaysia.

	PDF - Published Version Restricted to Registered users only Download (491kB) | Request a copy
	PDF (SCOPUS) - Supplemental Material Restricted to Registered users only Download (241kB) | Request a copy

Abstract

Gender identification via speech processing is one of the hot research topics among the security research community. Many cyber systems are being developed to recognize human speech type. These systems mainly comprise of a feature segment process which extracts and selects the features of human speeches. Feature extraction and feature selection are the most noteworthy phase of speech recognition involving numerous strategies. The purpose of this paper is to investigate the potential effectiveness of spectral analysis and higher-order statistics performed over the speech segments of different genders. Spectral analysis is done via spectral descriptors consisting of varied parameters which are widely used in machine learning applications. The varied gender speeches are distinguished by means of parameters, i.e., higher order statistics, like spectral centroid, spectral entropy, spectral kurtosis, spectral slope and spectral flatness. The results obtained show successful discrimination of male and female speeches based on the peakiness of speech, voiced and unvoiced and higher and lower formants.

Item Type:	Conference or Workshop Item (Plenary Papers)
Additional Information:	5588/80383
Uncontrolled Keywords:	Spectral descriptor, Higher-order statistics, Spectral entropy, Spectral flatness, Spectral slope, Spectral centroid, Spectral kurtosis.
Subjects:	T Technology > T Technology (General)
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering Kulliyyah of Engineering > Department of Electrical and Computer Engineering Kulliyyah of Information and Communication Technology Kulliyyah of Information and Communication Technology Kulliyyah of Information and Communication Technology > Department of Information System Kulliyyah of Information and Communication Technology > Department of Information System
Depositing User:	Prof. Dr. Teddy Surya Gunawan
Date Deposited:	08 May 2020 10:59
Last Modified:	10 Jul 2020 11:50
URI:	http://irep.iium.edu.my/id/eprint/80383

Actions (login required)

View Item