A Method of Correcting Text After Speech Recognition Based on Domain Recognition
A speech recognition and text error correction technology, applied in speech recognition, speech analysis, text database query, etc., can solve problems such as a large number of manual interventions, low error correction efficiency, and inability to correct errors by proper names, and reduce a lot of time loss. , the data is accurate and true, the effect of enhancing practicability and robustness
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[0037] The present invention aims to propose a method for text error correction after speech recognition based on field recognition, which solves the problems that the processing method in the traditional technology requires a lot of manual intervention, the error correction efficiency is low, and the proper name cannot be corrected.
[0038] The present invention adopts the Bigram model and the whoosh search engine to judge the domain of the input text. By introducing the Markov hypothesis, Bigram solves the problem of data sparseness and too large parameter space in n-grams, assuming that the appearance of a word only depends on the previous A word that appears, thus establishing the relationship between characters. The whoosh search engine helps to establish domain discrimination, and builds an index based on the input text, which can quickly realize the identification of candidate sets for fuzzy matching, and improve the speed of text error correction after semantic recogni...
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