A Visual Signal Reliability for Robust Audio-Visual Speaker Identification

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抄録

In this paper, a novel visual signal reliability (VSR) measure is proposed to consider video degradation at the signal level in audio-visual speaker identification (AVSI). The VSR estimation is formulated using a Gaussian fuzzy membership function (GFMF) to measure lighting variations. The variance parameters of GFMF are optimized in order to maximize the performance of the overall AVSI. The experimental results show that the proposed method outperforms the score-based reliability measuring technique.

収録刊行物

  • IEICE transactions on information and systems

    IEICE transactions on information and systems 94(10), 2052-2055, 2011-10-01

    一般社団法人 電子情報通信学会

参考文献:  12件中 1-12件 を表示

各種コード

  • NII論文ID(NAID)
    10030193609
  • NII書誌ID(NCID)
    AA10826272
  • 本文言語コード
    ENG
  • 資料種別
    SHO
  • ISSN
    09168532
  • データ提供元
    CJP書誌  J-STAGE 
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