A Visual Signal Reliability for Robust Audio-Visual Speaker Identification
| Autor: | Hyoung-Gook Kim, Seung You Na, Dongsoo Har, Md. Tariquzzaman, Jin Young Kim |
|---|---|
| Rok vydání: | 2011 |
| Předmět: |
Measure (data warehouse)
business.industry Computer science Gaussian Speech recognition Pattern recognition Variance (accounting) Signal symbols.namesake Artificial Intelligence Hardware and Architecture Audio visual symbols Speaker identification Computer Vision and Pattern Recognition Artificial intelligence Electrical and Electronic Engineering business Software Reliability (statistics) Degradation (telecommunications) |
| Zdroj: | IEICE Transactions on Information and Systems. :2052-2055 |
| ISSN: | 1745-1361 0916-8532 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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