E-learning and speech dynamic recognition based on network transmission in music interactive teaching experience

Abstract

The research adopts the network transmission technology to realize the framework of e-learning, and combines the speech dynamic recognition technology to improve the interactive music teaching experience. By establishing an online learning platform, the network is used to transmit learning resources such as audio, video and text. In the application of speech dynamic recognition technology, the modern speech recognition algorithm and artificial intelligence technology are used. Let students sing or play on a device such as a microphone or a mobile phone and transmit their sound signals to the system. Through speech dynamic recognition technology, students 'audio is analyzed and processed in real time, and students' singing or performance is evaluated and feedback. The system can analyze students' intonation, rhythm, timbre and other musical elements, and evaluate and guide them according to the preset scoring standards, so as to help students improve their playing skills. Through the combination of network transmission technology and speech dynamic recognition technology, students can enjoy a more personalized and interactive teaching experience in music learning. The systematic real-time evaluation and guidance function can also help students adjust their performance skills in time and provide targeted learning suggestions.