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Showing 1 to 3 of 3 for “"Discriminative Model Combination"”.
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Diskriminative Modellkombination in Spracherkennungssystemen mit großem Wortschatz
In this work, the theory of Discriminative Model Combination, DMC, is developed and implemented for large vocabulary continuous speech recognition. DMC is based on a discriminative training of the free parameters of distributions belonging to the exponential family. It is independent of the …
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Acoustic feature combination for speech recognition
… are developed, on the other hand, feature combination methods are investigated in order to find an effective integration of the newly developed features into state-of-the-art speech recognition systems. The most commonly used feature extraction methods are the Mel Frequency Cepstrum …
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Modeling spontaneous speech variability for large vocabulary continuous speech recognition
… Two main aspects of spontaneous speech modeling are addressed: The general handling of pronunciation variability and the individual and parallel treatment of multiple speech variabilities in the acoustic and pronunciation model of a one-pass speech recognizer.The problem of an optimal …