Digital Isolated Word Recognition System based on MFCC and DTW Algorithm

MFCC와 DTW에 알고리즘을 기반으로 한 디지털 고립단어 인식 시스템

  • Zang, Xian (Department of Electronic Information Engineering, Chonbuk National University) ;
  • Chong, Kil-To (Department of Electronic Information Engineering, Chonbuk National University)
  • 장한 (전북대학교 전자정보공학부) ;
  • 정길도 (전북대학교 전자정보공학부)
  • Published : 2008.10.31


The most popular speech feature used in speech recognition today is the Mel-Frequency Cepstral Coefficients (MFCC) algorithm, which could reflect the perception characteristics of the human ear more accurately than other parameters. This paper adopts MFCC and its first order difference, which could reflect the dynamic character of speech signal, as synthetical parametric representation. Furthermore, we quote Dynamic Time Warping (DTW) algorithm to search match paths in the pattern recognition process. We use the software "GoldWave" to record English digitals in the lab environments and the simulation results indicate the algorithm has higher recognition accuracy than others using LPCC, etc. as character parameters in the experiment for Digital Isolated Word Recognition (DIWR) system.