Features Analysis of Speech Signal by Adaptive Dividing Method

음성신호 적응분할방법에 의한 특징분석

  • 장승관 (한국산업기술대학교 전기전자공학과) ;
  • 최성연 (한국산업기술대학교 전기전자공학과) ;
  • 김창석 (명지대학교 전자정보통신공학부)
  • Published : 1999.04.01


In this paper, an adaptive method of dividing a speech signal into an initial, a medial and a final sound of the form of utterance utilized by evaluating extreme limits of short term energy and autocorrelation functions. By applying this method into speech signal composed of a consonant, a vowel and a consonant, it was divided into an initial, a medial and a final sound and its feature analysis of sample by LPC were carried out. As a result of spectrum analysis in each period, it was observed that there existed spectrum features of a consonant and a vowel in the initial and medial periods respectively and features of both in a final sound. Also, when all kinds of words were adaptively divided into 3 periods by using the proposed method, it was found that the initial sounds of the same consonant and the medial sounds of the same vowels have the same spectrum characteristics respectively, but the final sound showed different spectrum characteristics even if it had the same consonant as the initial sound.