Abstract
The development of automatic speech recognition (ASR) technology makes the human-computer interaction possible. Considering the deficienciescurrently in the English pronunciation teaching, this paper employs relevantprinciples of speech recognition, proposes the design of an automaticEnglish pronunciation grading system in the English teaching field, describes indetail the system structure, functions and processes and introduces the keytechnologies and steps to implement the system: dynamic time warping algorithm,establishment of corpuses, consonant/vowel (C/V) segmentation technologyand grading standards. Results of a small-scale test show that the system isuseful to testing the English pronunciation of international students
Author supplied keywords
Cite
CITATION STYLE
Zhao, H. (2017). Study on the Effectiveness of the ASR-Based English Teaching Software in Helping College Students’ Listening Learning. International Journal of Emerging Technologies in Learning, 12(8), 146–154. https://doi.org/10.3991/IJET.V12I08.7142
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.