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논문검색

An Automatic Pitch Detection Method Based on Multi-feature for Mandarin Speech

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

저자정보

  • Runshen Cai Computer Science and Information Engineering College, Tianjin University of Science and Technology

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