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.
이용수
초록· 키워드
오류제보하기
The perturbation parameters like jitter, shimmer, and signal-to-noise ratio (SNR) are largely estimated in the particular segment from the subjective or whole portion of the given pathological voice signal although there are many possible regions to be able to analyze the voice signals. In this paper, the pathological voice signals were classified as type 1, 2, 3, or 4 according to narrow band spectrogram and the value differences of the perturbation parameters extracted in the subjective and entire portion tended to be getting bigger as from type 1 to type 4 signals. Therefore, sample selection method based on moving window to analyze type 2 and 3 signals as well as type 1 signals is proposed. Although type 3 signals cannot be analyzed using the perturbation analysis, the type 3 signals by selecting out the samples in which error count is less than 10 through moving window were analyzed. At present, there is no method to be able to analyze the type 4 signals. Future research will endeavor to determine the best way to evaluate such voices.
목차
ABSTRACT
1. Introduction
2. Material and methods
3. Results and Discussions
4. Conclusion
Acknowledgements
References
참고문헌 (25)
참고문헌 신청
Lieberman, P / 1961 / Perturbations in vocal pitch / Journal of the Acoustical Society of America 33(5):597~603
Titze I.R / 1995 / Workshop on Acoustic Voice Analysis: Summary Statement
Kay Elemetrics Corp / 1993 / Multi-dimensional voice program: software instruction manual / Kay Elemetrics Corporation
Zhang, Y / 2005 / Comparison of nonlinear dynamic methods and perturbation methods for voice analysis / Journal of the Acoustical Society of America 118(4):2551~2560
Titze, I. R / 1993 / Comparison of F0 extraction method for high-precision voice perturbation measurements / Journal of Speech and Hearing Research 36(6):1120~1133
Titze I.R / 1995 / Workshop on Acoustic Voice Analysis: Summary Statement
Kay Elemetrics Corp / 1993 / Multi-dimensional voice program: software instruction manual / Kay Elemetrics Corporation
Zhang, Y / 2005 / Comparison of nonlinear dynamic methods and perturbation methods for voice analysis / Journal of the Acoustical Society of America 118(4):2551~2560
Titze, I. R / 1993 / Comparison of F0 extraction method for high-precision voice perturbation measurements / Journal of Speech and Hearing Research 36(6):1120~1133
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UCI(KEPA) : I410-ECN-0101-2013-701-000760893