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Titlebook: Recent Trends in Intelligent and Emerging Systems; Kandarpa Kumar Sarma,Manash Pratim Sarma,Mousmita Book 2015 Springer India 2015 Bio-in

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Comparative Analysis of Neuro-Fuzzy Based Approaches for Speech Data Clusteringstering techniques it is observed that the SOM-based technique provides more correct decisions compared to KMC-based technique and FCM-based approach provides even better decisions than the SOM-based technique. The results show that FCM generates better performance for all the cases considered.
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Effective Speech Signal Reconstruction Technique Using Empirical Mode Decomposition Under Various Coing the nonstationary nature of a signal, it has been observed that frame-by-frame analysis is not required in the proposed reconstruction model. The effectiveness of reconstruction using EMD residual is experimented in case of speech data collected in various conditions like clean, noisy, mobile channel including speaker’s mood variation.
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ANFIS-Based Symbol Recovery in Multi-antenna Stochastic Channelsct that the fuzzy system provides expert-level decision while tracking microscopic changes. Fuzzy system, however, requires support from artificial neural network (ANN)s for implementing inference rules. When fuzzy and ANN systems are combined, either neuro-fuzzy (NF) or fuzzy-neural (FN) frameworks
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