• DocumentCode
    3124920
  • Title

    Enhanced lengthening cancellation using bidirectional pitch similarity alignment for spontaneous speech

  • Author

    Po-Yi Shih ; Bo-Wei Chen ; Jhing-Fa Wang ; Jhing-Wei Wu

  • Author_Institution
    Dept. of Electr. Eng., Nat. Cheng Kung Univ., Tainan, Taiwan
  • fYear
    2012
  • fDate
    5-8 Dec. 2012
  • Firstpage
    238
  • Lastpage
    242
  • Abstract
    In this work, an enhanced lengthening cancellation method is proposed to detect and cancel the lengthening part of vowels. The proposed method consists of autocorrelation function, cosine similarity-based lengthening detection and bidirectional pitch contour alignment. Autocorrelation function is used to obtain the reference pitch contour. Cosine similarity-based method is applied to measure the similarity between the reference and the next adjacent pitch contours. Due to the variant lengths of periodic segments, fixed size frames may cause accumulative errors. Therefore, bidirectional pitch contour alignment is adopted in this study. Experiments indicate that the proposed method can achieve an accuracy rate of 91.4% and 88.7% on a 60-keyword and 50-scentence database, respectively. Moreover, the proposed approach performs about three times speed than the baseline. Such results prove the effectiveness of the proposed method.
  • Keywords
    speech processing; 50-scentence database; 60-keyword database; bidirectional pitch contour alignment; bidirectional pitch similarity alignment; cosine similarity-based lengthening detection; enhanced lengthening cancellation; spontaneous speech; vowels; Abstracts; Europe; Speech; keyword spotting; lengthening cancellation; pitch contour alignment; speech preprocessing; spontaneous speech recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Chinese Spoken Language Processing (ISCSLP), 2012 8th International Symposium on
  • Conference_Location
    Kowloon
  • Print_ISBN
    978-1-4673-2506-6
  • Electronic_ISBN
    978-1-4673-2505-9
  • Type

    conf

  • DOI
    10.1109/ISCSLP.2012.6423517
  • Filename
    6423517