• DocumentCode
    1239188
  • Title

    A quantitative assessment of the importance of tone in mandarin speech recognition

  • Author

    Ng, Tim ; Siu, Manhung ; Ostendorf, Mari

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Hong Kong Univ. of Sci. & Technol., Kowloon, China
  • Volume
    12
  • Issue
    12
  • fYear
    2005
  • Firstpage
    867
  • Lastpage
    870
  • Abstract
    How important is tone to Mandarin speech recognition? Because contextual information can resolve some lexical ambiguities, the question has been raised as to whether a strong language model obviates the need for explicit tone modeling. This letter addresses that question by evaluating the effect of tone information on word perplexity under different conditions, including knowledge of the correct tone sequence, perfect acoustic information, and imperfect syllable and tone information. Results show that conditioning on tone information can reduce word uncertainty in conversational speech by 11%-20%, depending on the accuracy of syllable and tone recognition.
  • Keywords
    natural languages; speech processing; speech recognition; Chinese speech recognition; Mandarin speech recognition; contextual information; imperfect syllable; language model; lexical ambiguity; perfect acoustic information; quantitative assessment; tone importance; tone sequence modeling; word perplexity; Context modeling; Councils; History; Natural languages; Signal processing algorithms; Signal resolution; Speech recognition; Uncertainty; Chinese speech recognition; perplexity; tone;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1070-9908
  • Type

    jour

  • DOI
    10.1109/LSP.2005.859495
  • Filename
    1542120