Artificial intelligence facial recognition and voice anomaly detection in the application of English MOOC teaching system

As a direct and effective biometric technology that follows human life habits, facial recognition has gradually become mainstream, stable reliable method in the process of further development science technology. Facial is kind authentication based on an original biological characteristic. After collecting functions, use computer for digital image processing template matching to complete recognition. In face MOOC, establish high-quality resource sharing mechanism, this opportunity explore innovative education models, truly feel strong momentum traditional Chinese higher education, which greatly improved quality universities. addition, order vigorously promote internationalization China, scholars need conduct lot in-depth research MOOC. article, demand-based testing used skin color distribution model preprocessing, then develop construct according comprehensive analysis university English class MOOC platform implementation mechanism (including establishment basic principles operation mechanism), thereby guarantee support curriculum evaluation system. This article combines characteristics educational practice takes college courses as example, studies its application builds platform, continuously enhances students' interest learning English, aiming provide practical reference reform education.