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We propose a method for quantifying how much the signal processing in speech communication services affects speaker identification accuracy. In this quantification using a subjective speaker identification test, the following four requirements should be satisfied, (a) The results should be less dependent on the order of speech samples, (b) Various speakers should be used in the test, (c) Speech samples...
We propose a no reference hybrid video-quality-estimation model for estimating video quality by using quality features derived from received packet headers and video signals. Our model is useful as a quality monitoring tool for estimating the video quality during use of an Internet protocol television service. It takes into account video quality dependence on video content and can estimate video quality...
Recently, Bayesian network classifiers (BNCs) have attracted many researchers because they can produce classification models with dependencies among attributes. From the application viewpoint, however, BNCs sometimes produce models too complicated to interpret easily. In this paper, we propose k-Bayesian network classifier (k-BNC), which is a new method to reconstruct the attribute-dependency relationship...
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