Method for automatically correcting identification error of repeated words in Chinese pronunciation identification

Abstract

The invention provides a method for automatically correcting an identification error of repeated words in Chinese pronunciation identification. The method comprises the following steps of: (1) performing similarity matching on word confusion networks which are obtained after identification of each sentence, word groups in a word group library and intermediate identification results, and searching the repeated word groups, wherein each word confusion network is a set of all possible identification results and comprises an optimum identification result, namely the original optimum identification result, and the intermediate identification result which corresponds to each word in the optimum identification result, and the word group library comprises the word groups and the intermediate identification results which correspond to the word groups; (2) according to word group information which is obtained by searching, re-calculating a similar probability value and a word identification probability value; (3) according to a new probability value, sorting the word confusion networks according to the size of the probability value; and (4) replacing the optimum identification results and the intermediate identification results of the word confusion networks by using a sorting result. The method has the advantages that: by using experience knowledge in the corrected identification result, the identification error of the repeated words in the current identification sentence is automatically corrected, so the correction efficiency and correction speed of the identification error are improved.

Description

technical field [0001] The invention relates to the technical field of speech recognition, in particular to an automatic correction method for repeated word recognition errors in Chinese speech recognition. Background technique [0002] Speech recognition technology is a technology that uses computer and digital signal processing technology to accurately identify the content of human speech. At present, small and medium-sized vocabulary speech recognition technology for special applications has been practically applied. However, due to the limitations of factors such as background noise, dialect accent, colloquial natural speech, and semantic understanding, continuous speech recognition technology with large vocabulary and speaker-independent Still in the exploratory stage. Since speech recognition cannot achieve 100% recognition accuracy, it is indispensable to correct the recognition errors in the recognition results. [0003] Recognition error correction means that afte...

AI Technical Summary

Problems solved by technology

Regardless of the early correction method or the later candidate selection correction method, the same word recognition error in different sentences needs to be corrected again, that is, for the same word, each recognition error needs to be corrected by the user; correction less efficient

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