닫기
Loading..

Please wait....

국내 논문지

홈 홈 > 연구문헌 > 국내 논문지 > 전기학회논문지 (The Transactions of The Korean Institute of Electrical Engineers)

전기학회논문지 (The Transactions of The Korean Institute of Electrical Engineers)

Current Result Document : 13 / 20 이전건 이전건   다음건 다음건

한글제목(Korean Title) 음성신호기반의 감정분석을 위한 특징벡터 선택
영문제목(English Title) Discriminative Feature Vector Selection for Emotion Classification Based on Speech
저자(Author) 최하나   변성우   이석필   Ha-Na Choi   Sung-Woo Byun   Seok-Pil Lee  
원문수록처(Citation) VOL 64 NO. 09 PP. 1363 ~ 1368 (2015. 09)
한글내용
(Korean Abstract)
영문내용
(English Abstract)
Recently, computer form were smaller than before because of computing technique's development and many wearable device are formed. So, computer's cognition of human emotion has importantly considered, thus researches on analyzing the state of emotion are increasing. Human voice includes many information of human emotion. This paper proposes a discriminative feature vector selection for emotion classification based on speech. For this, we extract some feature vectors like Pitch, MFCC, LPC, LPCC from voice signals are divided into four emotion parts on happy, normal, sad, angry and compare a separability of the extracted feature vectors using Bhattacharyya distance. So more effective feature vectors are recommended for emotion classification.
키워드(Keyword) Bhattacharrya distance   Pitch   MFCC   LPC   LPCC   Emotion classification  
파일첨부 PDF 다운로드

* 자료제공 NDSL