Titlebook: Probabilistic and Statistical Methods in Computer Science; Jean-François Mari,René Schott Book 2001 Springer Science+Business Media New Yo

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Probabilistic and Statistical Methods in Computer Science

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Some Applications in Speech Recognitioned effectively. We consider that the intelligent movement of the vocal track controlled by a speaker uttering a word in a specific acoustic and prosodic context is a temporal sequence of random events emitted by a Markov source. We therefore adopt a Bayesian attitude and quantify the uncertainty about the occurrence of an event by a probability.

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Some Applications in Speech Recognitionerns has been a constant concern since the beginning of automatic speech recognition research. In template methods [Sakoe and Chiba, 1978], the acoustic variability modeling of vocabulary consisted in storing several references for the same lexical unit, or in deriving typical sequences of acoustic

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Some Applications in Roboticsdden Markov models have been used for a long time in pattern recognition, especially in speech recognition. Their main advantages over other methods (.. neural networks, ... ) are their capabilities to modelize noisy temporal signals of variable length.

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Jean-François Mari,René Schottbackground of the subject to motivate students.Includes compThis book offers an essential textbook on complex analysis. After introducing the theory of complex analysis, it places special emphasis on the importance of Poincare theorem and Hartog’s theorem in the function theory of several complex va

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