運用自我相關函數局部最大值地圖於基週擷取與基週標位

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研究生：	陳仁俊
論文名稱：	運用自我相關函數局部最大值地圖於基週擷取與基週標位 Pitch Detection and Pitch Marking by Local Maximum Map of Autocorrelation Function
指導教授：	江永進
口試委員:
學位類別：	碩士 Master
系所名稱：	理學院 - 統計學研究所 Institute of Statistics
論文出版年：	2003
畢業學年度：	91
語文別：	英文
中文關鍵詞：	基週擷取、基週標位、自我相關函數
相關次數：	點閱：2 下載：0
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在語音訊號處理的領域中，基週擷取與基週標位這兩項技術，具有廣泛的用途。關於基週擷取，本文提出一個新方法，是運用自我相關函數的局部極大值地圖去擷取；關於基週標位，本文也提出一個演算法，是利用左右山峰去標位。我們同時建立一個可以被用來做語音合成的台語單音節帶著正確基週標位的語音資料庫。

The pitch detection and pitch marking are of wide interest to the field of speech signal processing. This thesis propose a new method of pitch detection based on the local maximum map of the autocorrelation function, and a pitch marking algorithm by L-R decision. We also annotate a speech database of all Taiwanese monosyllables with their pitch marks that is useful for Text-To-Speech synthesis application.

Content
Abstract 1

 Introduction   2

 A Speech Database with pitch marks    4

1 Daiim input method editor and Taiwanese monosyllables 4

2 Annotating the pitch marks  6

 LMM of ACF-based Pitch Detection  8

1 Autocorrelation function  8

2 The local maximum map of the autocorrelation function  12

3 Pitch track candidates generation and the pitch detection 13

4 A performance of the pitch detection method 17

 Pitch Marking by Left-Right Peaks 19

1 A straightforward pitch marker and its problems 19

2 L-R pitch-marking algorithm 22

3 A performance of the pitch mark method 23

 Conclusions 26

Appendix 27

Reference 32

References
[1] R. W. Schafer and L. R. Rabiner, "System for automatic formant analysis of voiced speech", J. Acoust. Soc. Amer., Vol. 47, pp. 634-648, Feb. 1970.
[2] J. D. Markel, "The SIFT algorithm for fundamental frequence estimation", IEEE Trans. Audio Electroacoust., Vol. AU-20, pp. 367-377, Dec. 1972.
[3] M. J. Ross, H. L. Shaffer, A. Cohen, R. Freudberg, and H. J. Manley, "Average magnitude difference function pitch extractor", IEEE Trans. Acoust., Speech, Signal Processing, Vol. ASSP-22, pp. 353-362, Oct. 1974.
[4] N. J. Miller, "Pitch Detection by data reduction", IEEE Trans. Acoust., Speech, Signal Processing (Special Issue on IEEE Symposium on Speech Recognition), Vol. ASSP-23, pp. 72-79, Feb. 1975.
[5] A. E. Rosenberg and M. R. Sambur, "New techniques for automatic speaker verification", IEEE Trans. Acoust., Speech, Signal Processing, Vol. ASSP-23, pp. 169-176, Apr. 1975.
[6] L. R. Rabiner, M. J. Cheng, A. E. Rosenberg, and C. A. McGonegal, "A Comparative Performance Study of Several Pitch Detection Algorithms'', IEEE Trans. Acoust., Speech, and Signal Processing, Vol. ASSP-24, pp.399-418, Oct. 1976.
[7] J. J. Dubnowski, R. W. Schafer, and L. R. Rabiner, "Real-time digital hardware pitch detector", IEEE Trans. Acoust., Speech, and Signal Processing, Vol. ASSP-24, pp. 2-8, Feb. 1976.
[8] L. R. Rabiner, "On the Use of Autocorrelation Analysis for Pitch Detection'', IEEE Trans. Acoust., Speech, and Signal Processing, Vol. ASSP-25, No.1, pp. 24-33, Feb. 1977.
[9] E. Moulines, F. Emerard, D. Larreur, J. L. Le Saint Milon, L. Le Faucheur, F. Marty, F. Charpentier, and C. Sorin, "A real-time French text-to-speech system generating high-quality synthetic speech", International Conference on Acoustics, Speech, and Signal Processing, pp. 309-312, 1990.
[10] M. Kobayashi, M. Sakamoto, T. Saito, Y. Hashimoto, M. Nishimura, and K. Suzuki, "Wavelet analysis used in text-to-speech synthesis", IEEE Transactions on Circuits and Systems-II, Analog and Digital Signal Processing, 45(8), pp. 1125-1129, 1998.
[11] Jau-Hung Chen, and Yung-An Kao, "Pitch Marking Based on an Adaptable Filter and a Peak-Valley Estimation Method", Computational Linguistics and Chinese Language Processing, Vol. 6, No. 2, pp. 1-12, Feb. 2001.
[12] Yih-Ru Wang, I-Je Wong, and Teng-Chun Tsao, "A statistical pitch detection algorithm", IEEE, 2002.

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