Speech Recognition Using LPC and SVM Statistical Learning Application on a Calculator
1007
ACIT'2024 will be held in Zarqa University, December 10-12, 2024 -Zarqa, Jordan
1007
Abstract
With the very important development of computing and storage resources, human-machine interfaces become more and more closer to the natural human interaction. In this paper, we present a vocal calculator based on support vector machine learning and classification. Learning techniques used until now, in this research domain, such as Artificial Neural Networks (ANN) are characterized by weak classification rate and learning speed. SVM based classification is a very powerful method which yield good results in many domains such as face and hand writing recognition. The application of such learning method in voice recognition applied on a calculator give very interesting recognition rate.
Keywords: speech recognition, machine learning, Support vector machine.
Zarqa University P.O. Box 132010
+962-5-3821100 / ext 1451
This email address is being protected from spambots. You need JavaScript enabled to view it.