상세정보
학술대회
Construction of a Database of Emotional Speech Using Emotion Sounds from Movies and Dramas
- 저자
- 고유정, 홍인숙, 신현순, 김윤중
- 발행일
- 201706
- 출처
- International Conference on Information and Communications (ICIC) 2017, pp.1-2
- 협약과제
- 16HH3300, 심리인지 기반 안전한 병영 생활관리 시스템 기술 개발, 신현순
- 초록
- In this study, an emotional speech database called Hanbat Emotional Database (HEMO) was constructed using movie and drama scenes in which emotion is abundantly expressed by professional actors. HEMO consists of 454 speech samples classified into seven emotion categories such as anger, happiness, sadness, disgust, surprise, fear, and neutral. In order to evaluate the performance of HEMO, consistent experiments were conducted based on HMM (Hidden Markov Model) and GMM (Gaussian Mixture Model) for both HEMO and the Berlin Emotional Speech Database (EMO). HEMO showed better results than EMO with a positive recognition rate of 78.89%.
- 키워드
- emotional database, emotional speech corpus, GMM, HMM, speech database
- KSP 제안 키워드
- Gaussian mixture Model(GMM), Positive recognition, Recognition rate, Speech Database, Speech samples, emotional speech corpus, hidden Markov Model