• Article
  • | |
  • Metrics
  • |
  • Reference [12]
  • |
  • Related [20]
  • | | |
  • Comments
    Abstract:

    In this paper, an approach is presented for integrating several confidence measures to verify utterance based on support vector machine (SVM). Segmental filler-based posterior probability parameters and linear predictive coding (LPC) recognition difference measure are derived from the verified utterance. An SVM classifier is trained to integrate several confidence measures to make final decision. Experimental results show that confidence measures and the SVM classifier are effective for utterance verification.

    Reference
    [1]Young YS.Detecting misrecognitions and out-of-vocabulary words.In:Proc.of the IEEE Int'l Conf.on Acoustic,Speech and Signal Processing,Vol 2.Adelaide:IEEE,1994.21-24.
    [2]Kamppari SO,Hazen TJ.Word and phone level acoustic confidence scoring.In:Proc.of the IEEE Int'l Conf.on Acoustic,Speech and Signal Processing,Vol 3.2000.1799-1802.http://groups.csail.mit.edu/sls/publications/2000/Simo-ICASSP.pdf
    [3]Wessel F,Schluter R,Macherey K,Ney H.Confidence measures for large vocabulary continuous speech recognition.IEEE Trans.on Speech and Audio Processing,2001,9(3):288-298.
    [4]Wessel F,Schluter R,Ney H.Using posterior word probabilities for improved speech recognition.In:Proc.of the IEEE Int'l Conf.on Acoustic,Speech and Signal Processing,Vol 3.2000.1587-1590.
    [5]Yan BF,Zhu XY.Continuous speech recognition and verification based on a combination score.Journal of Software,2003,14(12):2014-2020 (in Chinese with English abstract).http://www.jos.org.cn/1000-9825/14/2014.htm
    [6]Schroeder M.Direct (nonrecursive) relations between cepstrum and predictor coefficients.IEEE Trans.on Acoustics,Speech and Signal Processing,1981,29(2):297-301.
    [7]Markel J,Gray A.Linear prediction of speech.Proc.of the IEEE,1978,66(2):266-267.
    [8]Hazen T,Seneff S,Polifroni J.Recognition confidence scoring and its use in speech understanding systems.Computer Speech and Language,2002,16:49-67.
    [9]Xiong ZY,Wu WH,Xu MX.Comparison and integration of confidence measure calculation method.In:Proc.of the 6th National Conf.on Man-Machine Speech Communication.2001.447-449 (in Chinese with English abstract).
    [10]Cortes C,Haffner P,Mohri M.Weighted automata kernels-general framework and algorithms.In:Proc.of the 9th European Conf.on Speech Communication and Technology.2003.989-992.
    [5]严斌峰,朱小燕.基于联合得分的连续语音识别确认方法.软件学报,2003,14(12):2014-2020.http://www.jos.org.cn/1000-9825/14/2014.htm
    [9]熊振宇,吴文虎,徐明星.置信度计算方法的比较和结合.见:徐明星编.第6届全国人机语音通讯学术会议.2001.447-449.
    Cited by
    Comments
    Comments
    分享到微博
    Submit
Get Citation

严斌峰,朱小燕,张智江,张范.语音识别确认中的置信特征和判定算法.软件学报,2006,17(12):2547-2553

Copy
Share
Article Metrics
  • Abstract:4822
  • PDF: 5741
  • HTML: 0
  • Cited by: 0
History
  • Received:February 09,2004
  • Revised:August 24,2005
You are the first2034245Visitors
Copyright: Institute of Software, Chinese Academy of Sciences Beijing ICP No. 05046678-4
Address:4# South Fourth Street, Zhong Guan Cun, Beijing 100190,Postal Code:100190
Phone:010-62562563 Fax:010-62562533 Email:jos@iscas.ac.cn
Technical Support:Beijing Qinyun Technology Development Co., Ltd.

Beijing Public Network Security No. 11040202500063