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Title: Research on the key technology of speech recognition in English interactive system

Authors: Xiaoling Ma; Qinmin Ma

Addresses: School of Intelligent Manufacturing, Guangxi Vocational and Technical College, Nanning, 530226, China ' College of Physical Science and Technology, Central China Normal University, Wuhan, 430079, China; School of Artificial Intelligence, Shenzhen Polytechnic University, Shenzhen, 518055, China

Abstract: To reduce word error rate of speech recognition in English interactive system, a key technology of speech recognition based on improved BiLSTM-HMM model is proposed. Firstly, BiLSTM-HMM speech recognition model is constructed by combining BiLSTM network and HMM model. Then, on the basis of BiLSTM-HMM model, attention mechanism is introduced, and model structure and data alignment are improved. Meanwhile, improved BiLSTM-HMM model is proposed, and it is applied to the English interactive system built on voice communication technology. Finally, verification is carried out on LibriSpeech dataset. The results shows that recognition time of improved BiLSTM-HMM model on LibriSpeech dataset is 3,541 s, and its error rate is 0.35; in English interactive system, error rate of English speech recognition for users is 0.34. Therefore, the key technology of speech recognition based on improved BiLSTM-HMM model can be used for speech recognition in English interactive system, and can effectively reduce the error rate of speech recognition in English interactive system, which has certain practical application value.

Keywords: English interactive system; speech recognition; BiLSTM network; HMM model; speech communication technology.

DOI: 10.1504/IJICT.2026.154957

International Journal of Information and Communication Technology, 2026 Vol.27 No.77, pp.1 - 19

Received: 13 Oct 2025
Accepted: 20 Mar 2026
Published online: 20 Jul 2026 *