CENSREC-1-C : An evaluation framework for voice activity detection under noisy environments

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Author(s)

Abstract

Voice activity detection (VAD) plays an important role in speech processing including speech recognition, speech enhancement, and speech coding under noisy environments. We have developed an evaluation framework for VAD under noisy environments, named CENSREC-1-C. We designed this framework for simple isolated utterance detection and hence, this framework consists of noisy continuous digit utterances and evaluation tools for VAD results. We define two evaluation measures, one for frame-level detection performance and the other for utterance-level detection performance. We also provide the evaluation results of a power-based VAD method as a reference.

Journal

  • Acoustical Science and Technology

    Acoustical Science and Technology 30(5), 363-371, 2009-09-01

    ACOUSTICAL SOCIETY OF JAPAN

References:  16

Cited by:  6

Codes

  • NII Article ID (NAID)
    10025992968
  • NII NACSIS-CAT ID (NCID)
    AA11501808
  • Text Lang
    ENG
  • Article Type
    Journal Article
  • ISSN
    13463969
  • NDL Article ID
    10333886
  • NDL Source Classification
    ZM35(科学技術--物理学)
  • NDL Call No.
    Z53-X48
  • Data Source
    CJP  CJPref  NDL  J-STAGE 
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