A Study on Speaker Recognition Using MFCC Parameter Space

파마메터 공간을 이용한 화자인식에 관한 연구

  • Lee Yong-woo (Department of Electronic Engineering, Ajou University) ;
  • Lim dong-Chol (Department of Electronic Engineering, Ajou University) ;
  • Lee Haing Sea (Department of Electronic Engineering, Ajou University)
  • 이용우 (아주대학교 전자공학과) ;
  • 임동철 (아주대학교 전자공학과) ;
  • 이행세 (아주대학교 전자공학과)
  • Published : 2001.11.01

Abstract

This paper reports on speaker-Recognition of context independence-speaker recognition in the field of the speech recognition. It is important to select the parameter reflecting the characteristic of each single person because speaker-recognition is to identify who speaks in the database. We used Mel Frequency Cesptrum Coefficient and Vector Quantization to identify in this paper. Specially, it considered to find characteristic-vector of the speaker in different from known method; this paper used the characteristic-vector which is selected in MFCC Parameter Space. Also, this paper compared the recognition rate according to size of codebook from this database and the time needed for operation with the existing one. The results is more improved $3\sim4\%$ for recognition rate than established Vector Quantization Algorithm.

Keywords