基于HHT的声纹信号检测识别智能评教系统设计

Design of Intelligent Teaching Evaluation System for Voiceprint Signal Detection and Recognition Based on HHT

教师是课堂的主导者。对教师进行教学评教,关乎知识传授和教师能力提升。对此,以希尔伯特黄变换(HilbertHuangTransformation,HHT)对授课教师声纹特征进行处理分析,完成身份确认,再与传统教学评价方法相结合,从而实现复杂的教学活动量化。充分运用现代信号处理技术和人工智能,将信息化手段与课堂教学评价相结合,建立有利于学生成才和教师成长的科学化教学评价模式。

Teachers are the dominant players in the classroom. Teaching evaluation of teachers is related to knowledge transfer and teacher ability improvement. In this paper, Hilbert-HuangTransformation(HHT) is used to process and analyze the characteristics of teachers’ voice print, complete identity identification, and then combined with traditional teaching evaluation methods, so as to realize the quantification of complex teaching activities. This paper makes full use of modern signal processing technology and artificial intelligence, combines information means with classroom teaching evaluation, and establishes a scientific teaching evaluation model which is conducive to students’ success and teachers’ growth.