원문정보
보안공학연구지원센터(IJSIP)
International Journal of Signal Processing, Image Processing and Pattern Recognition
Vol.5 No.4
2012.12
pp.155-166
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
There are many traditional pitch detection methods, but most of them can’t perform perfectly for different speakers, applications and environmental conditions. For this reason, a pitch detection method based on multi-feature is proposed. Firstly, the speech signals are pre-filtered. Secondly, the speech signal pre-filtered is segmented into syllables. Finally, the pitch period is obtained by wavelet transform and the maxima selected. Experiments show that this method can increase the performance of pitch detection in both clean and noisy environment compared with weighted wavelet method.
목차
Abstract
1. Introduction
2. Pre-filtering
3. Syllable Segmentation
3.1. Calculate Features
3.2. Syllable Segmentation Based on the Features
4. Pitch Detection
4.1.1. Wavelet Transform
5. The Experimental Results
6. Conclusions
Acknowledgements
References
1. Introduction
2. Pre-filtering
3. Syllable Segmentation
3.1. Calculate Features
3.2. Syllable Segmentation Based on the Features
4. Pitch Detection
4.1.1. Wavelet Transform
5. The Experimental Results
6. Conclusions
Acknowledgements
References
저자정보
참고문헌
자료제공 : 네이버학술정보
