This paper proposes a dominant color clustering algorithm fused with audio features. The experimental results show that the algorithm does not need manual preprocessing and has good robustness for different competition venues. Through the auxiliary analysis of audio features, this paper uses the theory of multiple intelligences in the teaching of business English to try to construct multiple intelligences according to the current situation. The teaching mode of business English major under the guidance of this theory enables students to develop more comprehensively, improves the efficiency of learners' language input, activates their language output, respects the individual differences of learners such as cognitive and emotional factors, and contributes to the promotion of learning. It provides the theoretical and practical basis for the teaching of business English in our country .
@artical{y1282023ijsea12081031,
Title = "Audio-Assisted Correction Algorithm for Business English Spoken in Intelligent Education Environment",
Journal ="International Journal of Science and Engineering Applications (IJSEA)",
Volume = "12",
Issue ="8",
Pages ="97 - 99",
Year = "2023",
Authors ="Yanxiao Jiang"}