Hidden Markov Models in Spoken Language Processing
نویسنده
چکیده
This is a report about Hidden Markov Models, a data structure used to model the probabilities of sequences, and the three algorithms associated with it. The algorithms are the forward algorithm and the Viterbi algorithm, both used to calculate the probability of a sequence, and the forward-backward algorithm, used to train a Hidden Markov Model on a set of sequences, raising the propabilites of these and similar sequences.
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مقایسه روش های طیفی برای شناسایی زبان گفتاری
Identifying spoken language automatically is to identify a language from the speech signal. Language identification systems can be divided into two categories, spectral-based methods and phonetic-based methods. In the former, short-time characteristics of speech spectrum are extracted as a multi-dimensional vector. The statistical model of these features is then obtained for each language. The ...
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