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›› 2013, Vol. 30 ›› Issue (6): 800-805.DOI: 10.7523/j.issn.2095-6134.2013.06.013

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A forensic automatic speaker recognition method based on improved GMM-UBM

WANG Hua-Peng1,2, YANG Jun1, WU Ming1, XU Yong1   

  1. 1. Key Laboratory of Noise and Vibration Research, Institute of Acoustics, Chinese Academy of Sciences, Beijing 100190, China;
    2. Department of Forensic Science and Technology, China Criminal Police University, Shenyang 110854, China
  • Received:2012-10-22 Revised:2013-03-22 Online:2013-11-15

Abstract:

We improved the forensic automatic speaker recognition(FASR) system based on GMM by applying the reference database to reduce the demands of suspect's recording quantity. We established an improved FASR system based on GMM-UBM, in which a small background population is used. The proposed system was tested in the database of fixed telephone channel and mobile channel, respectively.

Key words: likelihood ratio, forensic automatic speaker recognition, GMM-UBM

CLC Number: