Download e-book for kindle: Advances in Speech Recognition by Noam Shabtai

By Noam Shabtai

ISBN-10: 9533070978

ISBN-13: 9789533070971

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F and Parlog, A G (2000), New results on recurrent network training: unifying the algorithms and accelerating convergence, IEEE Transactions on Neural Networks: 11(3), pp. 697-709. B (2000), Synaptic plasticity, taming the beast, Nature Neuroscience, 3(supplement), 1178-1183. J (2004, Backpropagation-Decorrelation: online recurrent learning with O(N) Complexity, International Joint Conference on Neural Networks, vol. 843–848 (2004). , Natschläger, T and Markram, H (2004), Computational models for generic cortical microcircuits, Computational Neuroscience: A Comprehensive Approach, Chapter 18, pages 575-605 Hopfield, JJ and Brody, CD (2000), What is a moment?

IEEE Trans. , 15(1):257–270. [Chen and Huang, 2005] Chen, H. and Huang, S. (2005). A comperative study on model selection and multiple model fusion. In Proc. FUSION, volume 1, pages 820–826. [Davis and Mermelstein, 1980] Davis, S. B. and Mermelstein, P. (1980). Comparison of parametric representations for monosyllabic word recognition in continuously spoken sentences. IEEE Trans. , ASSP28(4):357–366. , 1977] Dempster, A. , Laird, N. , and Rubin, D. B. (1977). Maximum likelihood from incomplete data via the EM algorithm.

At frequencies where the density of the eigenmodes is more than three eigenmodes for a 3dB bandwidth of a given eigenmode, the sound field is usually considered to sufficiently satisfy the assumptions of diffuse field theory. 161 V . A (5) 3. Feature extraction and normalization A commonly used procedure of MFCC feature extraction is shown in Fig. , 2004]. The pre-emphasis filter is applied to enhance the high frequencies of the spectrum, which are generally reduced by the speech production process.

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Advances in Speech Recognition by Noam Shabtai


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