USING SPEECH RECOGNITION ALGORITHMS TO IMPROVE THE EFFECTIVENESS OF LISTENING TRAINING IN FOREIGN LANGUAGE TEACHING

Author Names:
Jing Zhang
Author Affiliation:
Department of Foreign Languages, Shenyang Ligong University.
Author Email:
qqqsd5617181@126.com
Publication Date:
June 12, 2026

Page numbers:

DOI Number:

https://doi.org/10.1177/14727978251385136

Abstract:

Background: Comprehension is a crucial element for accurate communication in foreign language learning. The outcomes of conventional teaching strategies are often poor due to their low level of preparation and responsiveness. Speech recognition technology, which provides immediate feedback, offers greater practicality and advantages; however, its integration requires careful consideration to ensure its effectiveness and benefits. Method: In this paper, we gathered speech signal datasets from 120 learners and divided them equally into two groups: a baseline group and a study group. The baseline group
Keywords:
listening, training, foreign language, artificial rabbit optimized hidden markov model (AR-HMM)
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