An Experimental Study on Noise File Detection using Multiple Frame Classifiers
Journal Title: International Journal of Electronics Communication and Computer Engineering - Year 2018, Vol 9, Issue 3
Abstract
This paper presents an approach to detect noisy wave files, using multiple frame classifiers. The differences in frame classification between two classifiers is codified in terms of probability distributions. A probabilistic framework is presented to detect noisy files using these distributions. The proposed approach is benchmarked against relevant datasets.
Authors and Affiliations
Punnoose A K
Keywords
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- EP ID EP499529
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