Voice recognition error correction method and device based on artificial intelligence, and readable medium

Abstract

The invention provides a voice recognition error correction method and device based on artificial intelligence, and a readable medium. The method comprises the following steps: determining the targetfield of voice recognition; when the voice recognition original text has the original fragment having the smoothness which is not larger than the preset smoothness threshold value in the target field,performing the ED fragment recalling on the original fragment needing to be corrected, and obtaining a candidate fragment set of the original fragment; scoring each candidate fragment by means of thepre-trained fragment scoring model; according to the scoring of each candidate fragment, obtaining a target fragment corresponding to each original fragment in the target field by means of decoding,and obtaining a correction text for voice recognition in the target field. According to the technical scheme, the defects in the prior art are overcome, and the voice recognition error correction scheme is provided, the error fragment in the voice recognition original text can be corrected, and the accuracy of voice recognition is effectively improved.

Description

【Technical field】 [0001] The invention relates to the field of computer application technology, in particular to an artificial intelligence-based speech recognition error correction method, device and readable medium. 【Background technique】 [0002] Artificial Intelligence (AI) is a new technical science that studies and develops theories, methods, technologies and application systems for simulating, extending and expanding human intelligence. Artificial intelligence is a branch of computer science that attempts to understand the essence of intelligence and produce a new intelligent machine that can respond in a manner similar to human intelligence. Research in this field includes robotics, language recognition, image recognition, natural language processing and expert systems, etc. [0003] With the development of smart technology, smart devices can receive the user's voice in various scenarios and recognize the user's voice as text. And obtain the corresponding result ac...

AI Technical Summary

Problems solved by technology

[0004] However, in the existing technical solutions above, the smart device does not correct the recognized speech recognition text, and the recognition process is affected by the user's dialect, accent, and recognition environment, which may cause errors in the recognized semantic recognition text, thus As a result, the query or dialogue based on speech recognition text is wrong, so it is urgent to provide a speech recognition error correction scheme

Images