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基于语音识别引擎技术的人机交互式体育教学方法。

Human-computer interactive physical education teaching method based on speech recognition engine technology.

机构信息

Sport Department, Changshu Institute of Technology, Suzhou, China.

Physical Education College, Sichuan University, Chengdu, China.

出版信息

Front Public Health. 2022 Jul 18;10:941083. doi: 10.3389/fpubh.2022.941083. eCollection 2022.

Abstract

With the advent of the era of artificial intelligence, speech recognition engine technology has a profound impact on social production, life, education, and other fields. Voice interaction is the most basic and practical type of human-computer interaction. To build an intelligent and automatic physical education teaching mode, this paper combines human-computer interaction based on speech recognition technology with physical education teaching. Students input through voice signals, and the system receives signals, analyzes signals, recognizes signals, and feeds back information to students in multiple forms. For the system to process the external speech signal, this paper uses the Mel cepstral coefficient algorithm to extract the speech information. By comparing the speech recognition rate and antinoise rate of Hidden Markov Model, Probabilistic Statistics Neural Network, and Hybrid Model (Hidden Markov and Rate Statistical Neural Network combination), the speech recognition engine uses the hybrid model, and its speech recognition rate is 98.3%, and the average antinoise rate can reach 85%. By comparing the human-computer interaction physical education teaching method with the traditional teaching method, the human-computer interaction method is superior to the traditional teaching method in the acquisition of physical knowledge, the acquisition of physical skills, the satisfaction of physical education courses and the ability of active learning. It effectively solves the drawbacks of traditional physical education and rationally uses human-computer interaction technology. On the basis of not violating physical education, realize the diversification of physical education, improve the quality of teaching, improve students' individual development and students' autonomous learning ability. Therefore, the combination of human-computer interaction and physical education based on recognition engine technology is the trend of today's physical education development.

摘要

随着人工智能时代的到来,语音识别引擎技术对社会生产、生活、教育等领域产生了深远的影响。语音交互是最基本、最实用的人机交互方式。为了构建智能自动化的体育教学模式,本文将基于语音识别技术的人机交互与体育教学相结合。学生通过语音信号输入,系统接收信号、分析信号、识别信号,并以多种形式向学生反馈信息。为了使系统处理外部语音信号,本文采用梅尔倒谱系数算法提取语音信息。通过比较隐马尔可夫模型、概率统计神经网络和混合模型(隐马尔可夫和速率统计神经网络组合)的语音识别率和抗噪率,语音识别引擎采用混合模型,其语音识别率为 98.3%,平均抗噪率可达 85%。通过比较人机交互体育教学方法与传统教学方法,人机交互方法在获取体育知识、获取体育技能、满足体育课程和主动学习能力方面优于传统教学方法。它有效地解决了传统体育教育的弊端,合理利用了人机交互技术。在不违反体育教育的基础上,实现体育教育的多样化,提高教学质量,提高学生的个体发展和学生的自主学习能力。因此,基于识别引擎技术的人机交互与体育教学相结合是当今体育教育发展的趋势。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1d8d/9339716/44f72e86010f/fpubh-10-941083-g0001.jpg

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