지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술대회자료
- 저자정보
- 발행연도
- 2011.10
- 수록면
- 859 - 864 (6page)
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초록· 키워드
오류제보하기
The Mel-scale Cepstral Coefficients of the female speakers’ speech sample clinically categorized into depressed and remitted speech groups are computationally estimated using the 16-triangular filter bank, and consequently taken to represent for input vector to selected classifier. The statistical measures such as the Fisher’s discrimination and the separation power ranking calculation are employed on the extracted feature set for observing on their descriptive statistics, probabilities, and discriminant scores. The higher-order cepstral coefficients reveal the significant difference in term of class separation between depressed and remitted speech samples. The results of classification are supportive of the prior statistical measures evaluated on the cepstral acoustic parameters which imply the MFCCs capable of being potential indicator of depression symptom in female speakers compared to normal females.
목차
Abstract
1. INTRODUCTION
2. DATABASE
3. METHODOLOGY
4. EXPERIMENTAL RESULTS AND DISCUSSION
5. CONCLUSION
REFERENCES
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UCI(KEPA) : I410-ECN-0101-2014-569-000913721