2023
DOI: 10.21203/rs.3.rs-2466432/v1
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An English pronunciation and intonation evaluation method based on the DTW algorithm

Abstract: In order to solve the problems of single feature dimension and low accuracy in traditional oral English evaluation, this study has used the support vector regression algorithm to achieve the effective integration of different dimension evaluation features. The study comprehensively evaluate the overall reading and pronunciation quality of students. This paper designs an evaluation model of spoken English pronunciation quality based on a dynamic time warping algorithm and introduces the evaluation algorithms of… Show more

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Cited by 1 publication
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“…The assessment methods for conventional spelling, effortlessness, and accent, respectively, build a framework for the assessment of spoken English pronouncing quality based on a dynamic temporal warping (DTW) algorithm proposed by Duan and He (2023) [16]. The efficient fusion of several dimension assessment features is achieved by the application of a support vector regression (SVR) technique.…”
Section: Related Workmentioning
confidence: 99%
“…The assessment methods for conventional spelling, effortlessness, and accent, respectively, build a framework for the assessment of spoken English pronouncing quality based on a dynamic temporal warping (DTW) algorithm proposed by Duan and He (2023) [16]. The efficient fusion of several dimension assessment features is achieved by the application of a support vector regression (SVR) technique.…”
Section: Related Workmentioning
confidence: 99%