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논문검색

Investigation of Decision Tree Induction, Probabilistic Technique and SVM For Speaker Identification

초록

영어

Speaker recognition and speech recognition are both related. As against determining what was said, speaker recognition enables the automatic recognition of who is speaking based on the speaker’s voice’s unique characteristics. This paper presents a simple approach to text dependent speaker identification and is based on the Symlet wavelets for feature extraction. The extracted features are then classified using data mining algorithms. In this study, J48, Naïve Bayes and SVM are used for classifying the features.

목차

Abstract
 1. Introduction
 2. Related Works
 3. Methodology
 4. Results
 5. Conclusions
 References

저자정보

  • V. Srinivas Swarnandhra Institute of Engineering and Technology, Narasapur
  • Ch. Santhi rani D.M.S&S.V.H Engineering College, Machilipatnam
  • T. Madhu Swarnandhra Institute of Engineering and Technology, Narasapur

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