• DocumentCode
    442171
  • Title

    Learning Mandarin tone mapping codebook for voice conversion

  • Author

    Zuo, Guo-Yu ; Chen, Yao ; Ruan, Xiao-gang ; Liu, Wen-Ju

  • Author_Institution
    Inst. of Artificial Intelligence & Robotics, Beijing Univ. of Technol., China
  • Volume
    8
  • fYear
    2005
  • fDate
    18-21 Aug. 2005
  • Firstpage
    4824
  • Abstract
    The phonetics properties of Chinese Mandarin features clearly demarcated syllables with tonal phonemes. A tone codebook mapping method is proposed to obtain a better performance in voice conversion of Chinese Mandarin speech than the conventional conversion method, which focuses mainly on the short-time spectral envelopes. The pitch contour of the whole Mandarin syllable is used as a unit type for pitch conversion. The syllable pitch contours are first extracted from the source and target utterances. Time normalization and moving average filtering are then performed on them. These preprocessed pitch contours are classified to generate the source and target tone code-books, and by associating them a Mandarin tone mapping codebook is finally obtained in terms of speech alignment. Experimental results show that the proposed tone codebook mapping method in voice conversion can give a good performance in Chinese Mandarin speech.
  • Keywords
    filtering theory; moving average processes; pattern classification; speech coding; Chinese Mandarin speech; moving average filtering; phonetics properties; short-time spectral envelopes; time normalization; tone codebook mapping method; voice conversion; Artificial intelligence; Filtering; Intelligent robots; Learning; Loudspeakers; Motion pictures; Radio broadcasting; Robotics and automation; Speech analysis; Speech synthesis; Codebook Mapping; Mandarin Tone; Voice Conversion;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on
  • Conference_Location
    Guangzhou, China
  • Print_ISBN
    0-7803-9091-1
  • Type

    conf

  • DOI
    10.1109/ICMLC.2005.1527792
  • Filename
    1527792