• DocumentCode
    2017246
  • Title

    Hierarchical pitch target model for Mandarin speech

  • Author

    Zhang, Zhiping ; Wang, Xinhao ; Yu, Yansuo ; Wu, Xihong

  • Author_Institution
    Key Lab. of Machine Perception (Minist. of Educ.), Peking Univ., Beijing, China
  • fYear
    2010
  • fDate
    Nov. 29 2010-Dec. 3 2010
  • Firstpage
    378
  • Lastpage
    382
  • Abstract
    In this study, a hierarchical pitch target model is proposed to analyze the underlying factors of tones and intonation in Mandarin pitch, which can be applied in speech synthesis systems. This model assumes that the surface pitch contour is produced by approximating the sequential pitch targets assigned to the syllables in an utterance, and each pitch target possesses a hierarchical structure. Moreover, the pitch target associated with each syllable can be generated by adding up the tonal pattern of the syllable and the stepped intonation biases contributed by higher level prosodic units, including prosodic words, prosodic phrases, intonation phrases and utterances. The parameters of these factors can be learned from a speech corpus by a gradient method. Finally, the learned tonal patterns of syllables and the intonation patterns from different prosodic layers are illustrated, and the synthesis experiments show the effectiveness of the presented model.
  • Keywords
    approximation theory; gradient methods; natural language processing; pattern classification; speech processing; text analysis; Mandarin Speech; gradient method; hierarchical pitch target model; intonation patterns; intonation phrases; learned tonal patterns; prosodic phrases; prosodic words; speech corpus; speech synthesis systems; stepped intonation biases; surface pitch contour; tonal pattern; Analytical models; Approximation methods; Finite impulse response filter; Hidden Markov models; Shape; Speech; Speech synthesis; declination; hierarchical structure; intonation; pitch model; target approximation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Chinese Spoken Language Processing (ISCSLP), 2010 7th International Symposium on
  • Conference_Location
    Tainan
  • Print_ISBN
    978-1-4244-6244-5
  • Type

    conf

  • DOI
    10.1109/ISCSLP.2010.5684865
  • Filename
    5684865