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An Experimental Study on Noise File Detection using Multiple Frame Classifiers

Punnoose A K
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 dataset
Select Volume / Issues:
Year:
2018
Type of Publication:
Article
Keywords:
Noise Robustness; Neural Networks; Interactive Voice Response Systems; Phone Duration
Journal:
IJECCE
Volume:
9
Number:
3
Pages:
113-116
Month:
May
ISSN:
2249-071X
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