RETRACTED: Application of NLP-based respiratory audio recognition framework in physical health exercise intervention (Retracted Article)

At present, the form of students' physical health in our country is severe. In addition to learning some healthy knowledge and forming healthy habits, college students also need to strengthen the management of physical health through learning. A large number of studies show that scientific and reasonable exercise can promote human health and improve the quality of life. It is very important to make a reasonable exercise prescription according to personal physical condition to improve the health level and avoid the injury to the body. However, in the existing exercise prescription system, the calculation of exercise intensity is a little rough, which has hidden harm to students' autonomous exercise. Therefore, how to design a more scientific and accurate exercise prescription system suitable for students' daily application is particularly important. Speaker recognition is a kind of identity recognition, it is through the speaker's voice to identify the person's identity. As one of the biological characteristics of human beings, voice has unique advantages in identifying user identity. Therefore, speaker recognition technology has been widely concerned and studied in the world. This paper uses natural language processing technology and speech recognition technology to build a sports health assessment system. The experimental results show that the proposed method is more efficient than the traditional method. The recognition accuracy is 99.35%.