Speech recognition method, speech assessment method, speech recognition system, and speech assessment system

Abstract

The invention discloses a speech recognition method used for recognizing speech of users and generating speech recognition results. The method includes following steps: a speech obtaining step, obtaining the speech of the user; a speech recognition step, recognizing the obtained speech as text data and regarding the data as an initial speech recognition result; and an error correction step, checking an error correction list which records the relevance of a plurality of original vocabularies-deviation vocabularies, performing error correction processing if a deviation vocabulary in the relevance of a certain original vocabulary-deviation vocabulary in the error correction list existing in the initial speech recognition result, and replacing the vocabulary which is the same with the deviation vocabulary in the initial speech recognition result into the original vocabulary in the relevance of the original vocabulary-deviation vocabulary. In this way, the speech recognition result after error correction is obtained and regarded as the speech recognition result generated by the speech recognition method. The invention also discloses a speech assessment method based on the speech recognition method, and a corresponding speech recognition system and a speech assessment system.

Description

technical field [0001] The present invention relates to a speech recognition method and a speech scoring method, and further relates to a speech recognition system using such a speech recognition method and a speech scoring system using such a speech scoring method. Background technique [0002] At present, with the continuous development of speech recognition technology, applications based on speech recognition are becoming more and more extensive. Such technologies have penetrated into family life, office fields, entertainment and other aspects. Users input voice (for example, read a sentence) by using external or built-in microphones on personal computers, notebook computers, tablet computers, dedicated learning terminals, smart phones and other terminals, and through the speech recognition engine (hereinafter referred to as "engine") ) to complete the voice-to-text conversion. There are many existing engine products, for example, the widely used world-renowned Nuance, t...

AI Technical Summary

Problems solved by technology

However, the biggest problem with the speech recognition engine is the accuracy of speech recognition. Even Nuance, which has the highest speech recognition accuracy among existing engine products, cannot avoid the following problems:

[0010] To sum up, in the existing speech recognition system, due to the objective existence of deficiencies in the speech recognition of the existing engine, it will affect the correctness of the speech recognition results output by it.

In addition, the accuracy of speech scoring in the speech scoring system of the language learning system based on such a speech recognition system also has problems such as inaccurate and unreasonable judgments, which will lead to a decrease in user interest and trust in it, which is very unfavorable for language learning. Promotion of the system

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