• DocumentCode
    319612
  • Title

    Use of prosodic information for Mandarin word post-recognition

  • Author

    Wu, Chung-Hsien ; Chen, Yeou-Jiunn

  • Author_Institution
    Dept. of Comput. Sci. & Inf. Eng., Nat. Cheng Kung Univ., Tainan, Taiwan
  • Volume
    1
  • fYear
    1997
  • fDate
    4-4 Dec. 1997
  • Firstpage
    253
  • Abstract
    A two-stage recognition scheme, phonetic recognition followed by prosodic recognition is established. In the phonetic recognition process, 21 initial and 37 final context-independent HMMs are used to construct the phonetic recognizer. In the prosodic recognizer, 175 context-dependent prosodic HMMs are used to model the complicated tone behavior for all possible tone concatenations. Five anti-prosodic HMMs, each corresponding to one lexical tone, are constructed to enhance the discrimination among prosodic HMMs. This system was evaluated in a speaker-dependent mode on a vocabulary size of thirty thousand words. The experimental results show that the recognition rate was improved from 80.3% to 86.7% using the prosodic information.
  • Keywords
    feature extraction; hidden Markov models; natural languages; speech recognition; Mandarin word post-recognition; context-dependent prosodic HMM; experimental results; feature extraction; phonetic recognition; prosodic information; prosodic recognition; recognition rate; speaker-dependent system; tone concatenations; two-stage recognition; vocabulary size; Computer science; Context modeling; Data mining; Databases; Feature extraction; Hidden Markov models; Mel frequency cepstral coefficient; Speech recognition; Viterbi algorithm; Vocabulary;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    TENCON '97. IEEE Region 10 Annual Conference. Speech and Image Technologies for Computing and Telecommunications., Proceedings of IEEE
  • Conference_Location
    Brisbane, Qld., Australia
  • Print_ISBN
    0-7803-4365-4
  • Type

    conf

  • DOI
    10.1109/TENCON.1997.647305
  • Filename
    647305