Posts

Showing posts from March, 2019

A STUDY ON L-FUZZY NORMAL SUBl -GROUP

A STUDY ON L-FUZZY NORMAL SUBl -GROUP 1 K.Sunderrajan, 2 A.Senthilkumar and  3 R.Muthuraj 1 SRMV College of Arts and Science, Coimbatore-641020, Tamilnadu, India. 2 SNS College of Technology , Coimbatore-641035 , Tamilnadu, India. 3 H.H.The Rajah’s College,Pudukkottai-Tamilnadu, India ABSTRACT This paper contains some definitions and results of L-fuzzy normal sub l -group and its generalized characteristics. KEYWORDS Fuzzy set, L -fuzzy set, L-fuzzy sub l --group, L-fuzzy normal sub l -group . SOURCE URL https://airccse.com/mathsj/papers/3116mathsj01.pdf VOLUME LINK https://airccse.com/mathsj/vol3.html

Speech Emotion Recognition by Using Combinations of Support Vector Machine (SVM), and C5.0

Image
Speech Emotion Recognition by Using Combinations of Support Vector Machine (SVM), and C5.0  Mohammad Masoud Javidi and Ebrahim Fazlizadeh Roshan Department of Computer Science, Shahid Bahonar University of Kerman, Kerman, Iran.   ABSTRACT: Speech emotion recognition enables a computer system to records sounds and realizes the emotion of the speaker. we are still far from having a natural interaction between the human and machine because machines cannot distinguishes the emotion of the speaker. For this reason it has been established a new investigation field, namely “the speech emotion recognition systems”. The accuracy of these systems depend on the various factors such as the type and the number of the emotion states and also the classifier type. In this paper, the classification methods of C5.0, Support Vector Machine (SVM), and the combination of C5.0 and SVM (SVM-C5.0) are verified, and their efficiencies in speech emotion recognition are compared. The ...