Post by account_disabled on Mar 7, 2024 9:58:06 GMT
network to form a search space. Other knowledge sources are dynamically integrated during the decoding process according to the historical information carried on the active path. The static compilation and decoding space is to compile all knowledge sources into a state network and obtain probability information based on the transfer weights between nodes during the decoding process. Dynamic search space decoding algorithm The problem of finding the optimal word sequence in speech recognition can be transformed into the problem of finding the optimal state sequence in the search space composed of a tree dictionary. This problem is generally solved using the Viterbi Vieri algorithm. Its basic idea is that if the
maximum probability in one path set is greater than the maximum probability in another path set, then the sum of path probabilities is also greater than the sum of path probabilities. This assumption can only be established to a certain Rich People Phone Number List extent, so it will cause a certain loss of accuracy but can greatly reduce the amount of calculations. The decoder based on the weighted finite state machine F has & the proposed weighted finite state converter is an algorithm that efficiently compiles the static search space and eliminates redundant information. It realizes the conversion from the input sequence to the output sequence in a single network. Now Become the most efficient decoding method in speech recognition.
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