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Titlebook: Advances in Nonlinear Speech Processing; 5th International Co Carlos M. Travieso-González,Jesús B. Alonso-Hernán Conference proceedings 201

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11#
發(fā)表于 2025-3-23 10:02:22 | 只看該作者
0302-9743 Conference on Nonlinear Speech Processing, NoLISP 2011, held in Las Palmas de Gran Canaria, Spain, in November 2011. The purpose of the workshop is to present and discuss new ideas, techniques and results related to alternative approaches in speech processing that may depart from the main stream. T
12#
發(fā)表于 2025-3-23 15:47:26 | 只看該作者
Comparative Government and Politicsversion of Wiener systems by using a linear approximation in a minimum-mutual information algorithm. Experimental results demonstrate that linear spline interpolation is fast and accurate, obtaining very good results (similar to those obtained without approximation) while computational time is dramatically decreased.
13#
發(fā)表于 2025-3-23 18:33:36 | 只看該作者
Elections, Referendums and Parties,proaches. The first one is based on Hidden Markov Model (HMM), as classifier. On the other hand, another classification system is based on Support Vector Machines, being the parameterization based on the transformation of HMM by a kernel. Our results reached up to 98.67%.
14#
發(fā)表于 2025-3-24 01:29:55 | 只看該作者
Conference proceedings 2011der statistics; independent component analysis; nearest neighbors; neural networks; decision trees; non-parametric models; dynamics of non-linear systems; fractal methods; chaos modeling; and non-linear differential equations.
15#
發(fā)表于 2025-3-24 05:18:37 | 只看該作者
16#
發(fā)表于 2025-3-24 06:51:16 | 只看該作者
Conclusion: Transition(ing) to What?,e. This provides a strong indication of the importance of the Unpredictable Points Manifold (UPM), already demonstrated for other types of complex signals. Experiments show that a UPM containing around 12% of the points provides very good perceptual reconstruction quality.
17#
發(fā)表于 2025-3-24 13:11:54 | 只看該作者
18#
發(fā)表于 2025-3-24 16:09:56 | 只看該作者
Enhancing Spontaneous Speech Recognition with BLSTM Features, d. h. wann eine Prozessüberwachung durchgeführt werden kann, welche Klassen von Verfahren existieren, welche Daten als Eingabe ben?tigt werden und welche Ausgaben durch diese Verfahren erzeugt werden k?nnen. Als N?chstes stellen wir g?ngige Arten von übersichten für die Prozessleistung vor, die of
19#
發(fā)表于 2025-3-24 22:58:45 | 只看該作者
20#
發(fā)表于 2025-3-24 23:29:34 | 只看該作者
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