A Visual Signal Reliability for Robust Audio-Visual Speaker Identification

• TARIQUZZAMAN Md.

  Dept. of Electronics Engineering, Chonnam National University

• KIM Jin Young

  Dept. of Electronics Engineering, Chonnam National University

• NA Seung You

  Dept. of Electronics Engineering, Chonnam National University

• KIM Hyoung-Gook

  Dept. of Wireless Communications Eng., Kwangwoon University

• HAR Dongsoo

  Dept. of Information & Communications, GIST

Abstract

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.

Journal

• IEICE Transactions on Information and Systems

  IEICE Transactions on Information and Systems E94-D (10), 2052-2055, 2011

  The Institute of Electronics, Information and Communication Engineers

Keywords

• visual signal reliability measure
• Gaussian fuzzy membership function
• audio-visual speaker identification

Details

• CRID: 1390282679355540608
• NII Article ID: 10030193609
• NII Book ID: AA10826272
• DOI: 10.1587/transinf.e94.d.2052
• ISSN: 17451361
• ISSN: 09168532
• Web Site: http://www.jstage.jst.go.jp/article/transinf/E94.D/10/E94.D_10_2052/_pdf
• Text Lang: en
• Data Source:
  • JaLC
  • Crossref
  • CiNii Articles
• Abstract License Flag: Disallowed