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
- 387 - 391 (5page)
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초록· 키워드
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The acoustical properties of speech have been reported to relate to the mental state of speaker while speaking. This proposed work describes way to address the issue of distinguishing between female depressed patients and female remitted subjects based on the measurable change in the cepstral parameters extracted from their sound record. The cepstral coefficients corresponding to the filter response characteristics, affectively mediated by the emotionally depressive illness or even in particular case of the elevated suicidal risk into the speech production system of depressed speaker, are analyzed via the speech cepstral estimation in conjunction with the GMM fitting approximation. The results of pairwise classification in combinations with SVM, cross-validation, training and testing the cepstral coefficients provide the fairly high accuracy in class separation, when evaluating the testing datasets of coefficients extracted from speech segmentations which are highly corresponding to individual female speakers.
목차
Abstract
1. INTRODUCTION
2. DATABASE
3. METHODOLOGY
4. RESULTS AND DISCUSSION
5. CONCLUSION
REFERENCES
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UCI(KEPA) : I410-ECN-0101-2014-569-000912759