Design of Acoustic System in Smart Classroom

Abstract

Aiming at the problems of substandard acoustic design, inability to automatically collect data, and inability to support normalized interactive teaching in the current construction and use of smart classrooms, the article proposes a set of voice processing systems, personalized teaching data analysis systems, and mobile terminals. And the acoustic system architecture of the audio system management platform. With the goal of creating a comfortable sound environment, it analyzes acoustic design methods and measures from the perspective of architectural acoustics and electroacoustics, introduces voice processing technology into smart classrooms, and achieves zero-intervention sound collection during classroom teaching through suspended microphone arrays. Due to the complex background noise environment in the classroom and the small number of training samples, the article proposes a voiceprint recognition algorithm based on feature compensation and eigentone adaptation, and verifies the effectiveness of the algorithm. The smart classroom acoustic system architecture based on speech processing technology proposed in this paper can effectively improve the experience of students and teachers of smart classroom users in teaching practice, facilitate the interaction between students and teachers, and improve the learning efficiency of students. It can provide a certain theoretical reference for future smart classroom research.