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LI Ru-wei, BAO Chang-chun. A Speech Endpoint Detection Algorithm Based on the Band-partitioning Spectral Entropy and Spectral Energy[J]. Journal of Beijing University of Technology, 2007, 33(9): 920-924. DOI: 10.3969/j.issn.0254-0037.2007.09.005
Citation: LI Ru-wei, BAO Chang-chun. A Speech Endpoint Detection Algorithm Based on the Band-partitioning Spectral Entropy and Spectral Energy[J]. Journal of Beijing University of Technology, 2007, 33(9): 920-924. DOI: 10.3969/j.issn.0254-0037.2007.09.005
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A Speech Endpoint Detection Algorithm Based on the Band-partitioning Spectral Entropy and Spectral Energy

  • College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100022, China

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  • Received Date: September 03, 2006
  • Available Online: December 29, 2022
    Graphical Abstract
    • Abstract
  • The accuracy of speech recognition directly depends on accurate endpoint detection.Endpoint detec- tion is a very difficult task in the noise environment.It will be degraded with the decrease of SNR and differ- ent noise affects the accuracy of speech recognition.As a result,this paper proposed an endpoint detection ap- proach which is applicable to the telephone speech recognition system for city's name.The approach inte- grates band-partitioning spectral entropy and spectral energy to form a set of new feature parameters that can compensating the drawback of entropy and energy so that the performance of the detection is improved.
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    • References (8)
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    LAMEL L,LAWRENCE R R,ROSENBERG A E,et al.An improved endpoint detect for isolated word recognition[J],I- TASSP,1981,29(4):777-785.
    [3]
    HE Su-ning,YU Jue-bang.A novel chinese continuous speech endpoint detection method based on time domain features of the word structure[C]//ICCCSWP.Chengdu:Institute of Electrical and Electronics Engineers,2002 :992-996.
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    YING G S,MITCELL C D,JAMIESON L H.Endpoint detection of isolated utterances based on a modified teager energy measurement[C]//ICASSP.Minneapolis,Minnesota,USA:Institute of Electrical and Electronics Engineers,1993:732- 735.
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    AINI H,SALINA A S,LIEW B F.Endpoint detection of speech signal using neural network[C]//TENCON 2000 Proceed- ings.Malaysia:Institute of Electrical and Electronics Engineers,2000:271-274.
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    SHEN J L,HUNG J W,LEE L S.Robust entropy-based endpoint detection for speech recognition in noisy environments[C] // Robert H Mannell.ICSLP.Sydney,Australia:[s.n.],1998:232-235.
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