Virtual audio design based on mobile sensor network and English MOOC teaching

Abstract

The continuous emergence of virtual reality also makes people think about vigorously developing digital audio and scienti c image technology. The volume return and audio playback of 3D audio in VR usually directly use binaural reconstruction methods. At present, more 3D audio reconstruction techniques have actually been applied in VR, mainly including human-based binaural audio system reconstruction analysis. Technology and audio reconstruction of related transfer functions. This paper clearly proposes a precise network deployment design algorithm based on mobile wireless audio signal sensors based on network virtualization capabilities, and clearly proposes the basic concept of "relay node clusters", using the current ubiquitous relays in Internet audio networks The network phenomenon of the clusters of nodes connecting to each other builds up such a network path from the source relay node to the virtualized audio sensor node. A comparative analysis experiment with similar types of algorithms shows that the characteristic of this algorithm is that it has obvious advantages in the average position movement of nodes and the energy expenditure of each node in the network. In addition, this article also applies sensor networks to the teaching of English MOOCs, conducts preliminary investigations on the learning problems of English MOOCs, and establishes learning goals, selects learning resources, learning modes, and interactive communication platforms based on the results of the questionnaire survey. , Design the classroom teaching process. According to the mobile sensor network, MOOC resources and " ipped classroom" are integrated with each other to implement a hybrid classroom teaching. Mobile sensor networks provide new ideas for virtual audio design and English MOOC teaching.