2022
DOI: 10.1155/2022/6457286
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An English Pronunciation Error Detection System Based on Improved Random Forest

Abstract: The existing English pronunciation error detection methods are more oriented to the detection of wrong pronunciation, and lack of targeted improvement suggestions for pronunciation errors. With the aim of solving this problem, the paper proposes an English pronunciation error detection system based on improved random forest. Firstly, a speech corpus is constructed along with the evaluation of the acoustic features. Then an improved random forest detection algorithm is designed. The algorithm inputs rare mispro… Show more

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Cited by 2 publications
(1 citation statement)
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“…RF is a popular machine learning algorithm widely used in various domains due to its robustness and effectiveness. It is an ensemble learning method based on decision trees, where multiple decision trees are trained independently and combined to make predictions [19]. The algorithm has been applied in diverse areas such as security risk assessment [20], cyber-attack prediction [21], and geoscience data analysis [22].…”
Section: Description Of Rf Algorithmmentioning
confidence: 99%
“…RF is a popular machine learning algorithm widely used in various domains due to its robustness and effectiveness. It is an ensemble learning method based on decision trees, where multiple decision trees are trained independently and combined to make predictions [19]. The algorithm has been applied in diverse areas such as security risk assessment [20], cyber-attack prediction [21], and geoscience data analysis [22].…”
Section: Description Of Rf Algorithmmentioning
confidence: 99%