Speaker Identification based on Hybrid Feature Extraction Techniques
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2019, Vol 10, Issue 3
Abstract
One of the most exciting areas of signal processing is speech processing; speech contains many features or characteristics that can discriminate the identity of the person. The human voice is considered one of the important biometric characteristics that can be used for person identification. This work is concerned with studying the effect of appropriate extracted features from various levels of discrete wavelet transformation (DWT) and the concatenation of two techniques (discrete wavelet and curvelet transform ) and study the effect of reducing the number of features by using principal component analysis (PCA) on speaker identification. Backpropagation (BP) neural network was also introduced as a classifier.
Authors and Affiliations
Feras E. Abualadas, Akram M. Zeki, Muzhir Shaban Al-Ani, Az-Eddine Messikh
Keywords
Related Articles
- EP ID EP498703
- DOI 10.14569/IJACSA.2019.0100342
- Views 96
- Downloads 0
Intelligent Scheduling of Bag-of-Tasks Applications in the Cloud
The need of efficient provision resources in cloud computing is imperative in meeting the performance requirements. The design of any resource allocation algorithm is dependent on the type of workload. BoT (Bag-of-Task...
A New Approach for Improvement Security against DoS Attacks in Vehicular Ad-hoc Network
Vehicular Ad-Hoc Networks (VANET) are a proper subset of mobile wireless networks, where nodes are revulsive, the vehicles are armed with special electronic devices on the motherboard OBU (On Board Unit) which enables th...
Development of knowledge Base Expert System for Natural treatment of Diabetes disease
The development of expert system for treatment of Diabetes disease by using natural methods is new information technology derived from Artificial Intelligent research using ESTA (Expert System Text Animation) Syste...
Analysis of Software Reliability Data using Exponential Power Model
In this paper, Exponential Power (EP) model is proposed to analyze the software reliability data and the present work is an attempt to represent that the model is as software reliability model. The approximate MLE using...
An Advanced Technology Selection Model using Neuro Fuzzy Algorithm for Electronic Toll Collection System
Selecting an optimum advanced technology system for an organization is one of the most crucial issues in any industry. Any technology system which makes business process more efficient and business management more...