원문정보
보안공학연구지원센터(IJSEIA)
International Journal of Software Engineering and Its Applications
Vol.2 No.2
2008.04
pp.59-70
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
This paper proposes a pitch shifting technique based on the use of Source Filter Model (SFM) by Linear Prediction. A complete solution is described, included estimation of model parameters, pitch detection, Unvoiced/Voiced (U/V) classification and speech synthesis at several pitch values. An automatic U/V classification is proposed using two methods, the Autocorrelation by thresholding and the Zero Crossing Rate (ZCR) versus Energy computation. The satisfactory performance of this technique is evaluated by listening tests using sentences in Standard Arabic Language. The limit range of pitch shifting for a clear speech synthesizing is found.
목차
Abstract
1. Introduction
2. Source Filter model
2.1. Pitch shifting using the model
2.2. The Linear Prediction
2.3. Source filter by Linear Prediction
2.4. Pitch shifting using Linear Prediction
3. Pitch detection
4. Experiments and results
5. Conclusion
6. References
1. Introduction
2. Source Filter model
2.1. Pitch shifting using the model
2.2. The Linear Prediction
2.3. Source filter by Linear Prediction
2.4. Pitch shifting using Linear Prediction
3. Pitch detection
4. Experiments and results
5. Conclusion
6. References
저자정보
참고문헌
자료제공 : 네이버학술정보