A Visual Signal Reliability for Robust Audio-Visual Speaker Identification

Md. TARIQUZZAMAN; Jin Young KIM; Seung You NA; Hyoung-Gook KIM; Dongsoo HAR

doi:10.1587/transinf.E94.D.2052

A Visual Signal Reliability for Robust Audio-Visual Speaker Identification

Md. TARIQUZZAMAN, Jin Young KIM, Seung You NA, Hyoung-Gook KIM, Dongsoo HAR

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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.

Publication: IEICE TRANSACTIONS on Information Vol.E94-D No.10 pp.2052-2055

Publication Date: 2011/10/01

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Online ISSN: 1745-1361

DOI: 10.1587/transinf.E94.D.2052

Type of Manuscript: LETTER

Category: Human-computer Interaction

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Md. TARIQUZZAMAN, Jin Young KIM, Seung You NA, Hyoung-Gook KIM, Dongsoo HAR, "A Visual Signal Reliability for Robust Audio-Visual Speaker Identification" in IEICE TRANSACTIONS on Information, vol. E94-D, no. 10, pp. 2052-2055, October 2011, doi: 10.1587/transinf.E94.D.2052.
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.
URL: https://globals.ieice.org/en_transactions/information/10.1587/transinf.E94.D.2052/_p

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@ARTICLE{e94-d_10_2052,
author={Md. TARIQUZZAMAN, Jin Young KIM, Seung You NA, Hyoung-Gook KIM, Dongsoo HAR, },
journal={IEICE TRANSACTIONS on Information},
title={A Visual Signal Reliability for Robust Audio-Visual Speaker Identification},
year={2011},
volume={E94-D},
number={10},
pages={2052-2055},
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.},
keywords={},
doi={10.1587/transinf.E94.D.2052},
ISSN={1745-1361},
month={October},}

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TY - JOUR
TI - A Visual Signal Reliability for Robust Audio-Visual Speaker Identification
T2 - IEICE TRANSACTIONS on Information
SP - 2052
EP - 2055
AU - Md. TARIQUZZAMAN
AU - Jin Young KIM
AU - Seung You NA
AU - Hyoung-Gook KIM
AU - Dongsoo HAR
PY - 2011
DO - 10.1587/transinf.E94.D.2052
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E94-D
IS - 10
JA - IEICE TRANSACTIONS on Information
Y1 - October 2011
AB - 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.
ER -