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Bag-of-Words Modelling for Speech Recognition

A semantic language modelling method for speech recognition is presented. The method is somehow similar to latent semantic analysis, but it does not need so much memory and training data. Even though it gave better experimental results, provided as percentage of correctly recognized sentences from a corpus. It differentiate from latent semantic analysis by a choice of similar topics influencing a matrix describing probability of words appearing in topics.