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Titlebook: Advances in Neural Networks – ISNN 2016; 13th International S Long Cheng,Qingshan Liu,Andrey Ronzhin Conference proceedings 2016 Springer I

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楼主: Remodeling
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Community, Market and State in Developmentm high efficiency of the proposed neural network based approaches for solving this problem. It is shown that the use of DNN technology at different levels increases the reliability of speaker recognition system independently. However, there are some disadvantages of such systems, which are also described in this paper.
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Community, Market and State in Development maximize class separability with linear kernel classifiers. We use extreme learning machine classifiers on a four class (i.e. joy, anger, sadness, neutral) problem. We show the efficacy of our proposed method on the recently collected Turkish Emotional Speech Database.
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Parallel Classification of Large Aerospace Images by the Multi-alternative Discrete Accumulation MetOverview:
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Instantaneous Wavelet Correlation of Spectral Integrals Related to Records from Different , ChannelsOverview:
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Usage of DNN in Speaker Recognition: Advantages and ProblemsOverview:
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