Speech recognition, evaluation and correction system for English phrases and sentences

Abstract

The invention discloses a speech recognition, evaluation and correction system for English phrases and sentences, and belongs to the technical field of English pronunciations. The speech recognition,evaluation and correction system comprises an intelligent robot and a smart speaking system. The intelligent speaking system is connected with an intelligent robot through an intelligent chip, and theintelligent speaking system comprises a speech recognition system, a speech evaluation system and a speech correction system; the speech recognition system comprises a speech recording unit and an identification unit; an intelligent identification module is arranged in the identification unit; the speech evaluation system comprises a comparison unit and an evaluation unit; an intelligent comparison module is arranged in the comparison unit; the speech correction system is provided with an intelligence correction module. The speech recognition, evaluation and correction system is high in intelligence degree, and can better analyze the problems in pronunciations of students, correct the accuracy of pronunciation and better help the students to make standard pronunciation.

Description

technical field [0001] The invention relates to the technical field of English speech, more specifically, a speech recognition, evaluation and correction system for English words and sentences. Background technique [0002] English is a language under the Indo-European-Germanic language family. It is composed of 26 letters. The English alphabet is derived from the Latin alphabet, which is derived from the Greek alphabet, and the Greek alphabet is derived from the Phoenician alphabet. English It is an internationally designated official language and the most extensive first language in the world. English contains about 490,000 words, plus about 300,000 technical terms. It is the language with the most vocabulary. Language, has the third largest number of native speakers in the world, second only to the number of native speakers of Chinese and Spanish. [0003] At present, most of the oral English learning is learned through the corresponding English learning software or hard...

AI Technical Summary

Problems solved by technology

[0003] At present, most of the oral English learning is learned through the corresponding English learning software or hardware, so as to correct their own pronunciation. There are repeaters or point-to-point reading software, etc., which rely on students to compare the accuracy of pronunciation independently. Students may make errors in their own comparisons, resulting in poor correction effects

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