Teacher Voice Feature Extraction and Recognition Based on Health Belief Model

Abstract

Teachers are professional voice workers who complete their education and teaching tasks primarily through spoken English. Teachers’ voices are the most important tool for completing their professional tasks, as well as an important part of their public image. This paper proposes innovative design strategies with health management as the core concept, in light of the voice health problems of primary and secondary school teachers in the era of intelligence. For a long time, China has had a high percentage of teachers with voice problems. Teachers’ oral English expression is affected by voice diseases, which reduces teaching efficiency. Teachers’ physical and mental health are also jeopardized, and their professional identities are diminished. It is primarily caused by a lack of health-care awareness, excessive use of voice in daily life, incorrect vocalization techniques, a lack of knowledge and methods for voice protection, and ignorance on the part of education management departments. As a result, we must reduce the frequency with which we use our voices and employ scientific feature recognition methods to protect our voices.