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Study on the Improvement of Speech Recognition Algorithm Based on Attention Mechanism in English Listening Training under the Background of Smart Education

By: Li Xia1
1 Department of Public Course Teaching, Nanyang Vocational College of Agriculture, Nanyang, Henan, 473000, China

Abstract

Intelligent education is an important direction of future education, and it is imperative to carry out English listening training teaching in the context of intelligent education. Aiming at the problems existing in traditional speech recognition algorithms, we first preprocess the speech data, and then use the MFCC algorithm to complete the work of English speech feature extraction, take the speech features as the input of the DCNN-CTC model, and after the continuous optimization and training of the attention mechanism, we finally design a speech recognition algorithm based on the ASKCC-DCNN-CTC model, and then validate the algorithm Analysis. On the basis of the speech recognition algorithm based on the DCNN-CTC model, after adding the ASKCC attention mechanism, the UA value is enhanced by 2.96% improvement, while the WA value is also increased by 4.44%, which verifies the improvement of the ASKCC attention mechanism on the speech recognition algorithm.