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Voice recognition result error correction method

A technology of speech recognition and error correction method, which is applied in speech recognition, speech analysis, natural language data processing, etc., and can solve problems that affect the promotion of speech recognition technology, lack of recognition error correction means, and high error rate of speech recognition.

Inactive Publication Date: 2018-02-23
上海百芝龙网络科技有限公司
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AI Technical Summary

Problems solved by technology

Especially in everyday spoken language scenarios, the error rate of speech recognition is high
In the existing technology, all focus on improving the accuracy of speech recognition, but lack of error correction means for recognition errors, thus affecting the further promotion of speech recognition technology

Method used

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  • Voice recognition result error correction method

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Experimental program
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Embodiment Construction

[0017] see figure 1 , the method of the present embodiment comprises:

[0018] S11: Perform text operations such as word segmentation, part-of-speech tagging, stop word removal, and grammatical analysis on the speech recognition results

[0019] S12: According to existing or future technologies, find out words and characters to be corrected that are error-prone or important to text semantic analysis. Pay special attention to verb-object structure phrases, verbs, nouns and words that do not appear in the dictionary database in the speech recognition results.

[0020] S13: Carry out phonetic notation on the word or character to be corrected, and obtain the corresponding pinyin of the speech recognition result to be corrected, and the corresponding pinyin refers to no tone.

[0021] This situation can be divided into several situations, which are explained in detail as follows:

[0022] Homonyms, take full spelling:

[0023] For example, the speech recognition result to be co...

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Abstract

The invention discloses a voice recognition result error correction method which includes the steps: preprocessing voice recognition results; finding out error-prone words and sentences in the voice recognition results or semantically parsing important words and characters to be corrected for a text; performing phonetic notation on the words and characters to be corrected in a complete spelling mode and a phonetic initial spelling mode to obtain unpitched pinyin corresponding to the recognition results of voice to be corrected; determining an optimal candidate text and a sub-optimal candidatetext by the aid of an editing distance algorithm according to the complete spelling mode; determining an optimal candidate text and a sub-optimal candidate text by the aid of the editing distance algorithm according to phonetic initials; combining all the optimal candidate texts and all the sub-optimal candidate texts, and only reserving one repeated candidate item; replacing a text to be corrected by a prospective candidate text, calculating the probability of replaced statements by an n-grama language model and selecting the statement with the highest probability as a final recognition result of the voice to be corrected.

Description

technical field [0001] The invention belongs to the technical field of artificial intelligence, in particular to a method for correcting errors in speech recognition results. Background technique [0002] With the maturity of speech recognition technology, the use of voice interaction is becoming wider and wider. Compared with other interaction methods, the interaction method realized by voice interaction is more in line with people's daily habits and more efficient. At present, voice interaction methods have been widely used in various fields such as smart home, industrial control, and driving assistance. [0003] In practical applications, due to the influence of surrounding noise, dialect and other factors, the result of speech recognition during the speech interaction process is often inconsistent with the user's expression. Especially in everyday spoken language scenarios, the error rate of speech recognition is relatively high. However, in the prior art, all focus o...

Claims

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Application Information

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IPC IPC(8): G06F17/27G10L15/26
CPCG06F40/232G06F40/253G06F40/289G10L15/26
Inventor 叶伟
Owner 上海百芝龙网络科技有限公司
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