Voiced/Unvoiced Classification and Pitch Period Detection Algorithm Based on Wavelet Transform

Rabiner L R, Cheng M J, and Rosenberg A E, et al.. Acomparative performance study of several pitch detectionalgorithms. IEEE Trans. on Acoustics, Speech, and SignalProcessing, 1976, ASSP-24(5): 399-418.[2]Mallat S and Zhong S. Characterization of signals frommultiscale edges. IEEE Trans. on PAMI, 1992, 14(7):710-732.[3]Kadambe S and Boudreaux-Bartels G F. Application of thewavelet transform for pitch detection of speech signal[J].IEEETrans. on Information Theory.1992, 38(2):917-924[4]王长富, 戴蓓倩, 等. 基于声门闭合时刻的语音基音周期的提取. 中国科学技术大学学报, 1998, 28(3): 362-367.Wang Chang-fu and Dai Beiqian, et al.. Pitch periodextraction of speech signals based on estimation of glottalclosure intants. Journal of China University of Science andTechnology, 1998, 28(3): 362-367.[5]Obaidat M S, Lee C, Sadoun B, and Nelson D. Estimation ofpitch period of speech signal using a new dyadic waveletalgorithm[J].Information Sciences.1999, 119(122):21-39[6]Kaiser J F. On a simple algorithm to calculate the energy of asignal. Proceedings of IEEE International Conference onAcoustics.[J].Speech and Signal Processing (ICASSP90),Albuquerque, USA.1990,:-[7]Bahoura M and Rouat J. Wavelet speech enhancement basedon the Teager energy operator[J].IEEE. Signal ProcessingLetters.2001, 8(1):10-12[8]Xu Yansun, et al.. Wavelet transform domain filters: Aspatially selective noise filtration technique[J].IEEE Trans. onImage Processing.1994, 3(6):747-758[9]Wang Yiyuan and Zhao Liming. Pitch frequency estimationof Chinese multi-syllable words based on wavelet transform.Proceedings of the Third International Conference onMachine Learning and Cybernetics, Shanghai, China, 2004:26-29.