Research On Classified Audio Sharing Platform Based On Internet Of Things

The audio technology of the Internet of things is in a period of rapid development,it also gradually began to change people's living habits and way of life,how to better classify the existing large number of audio data resources is a problem to be solved.Audio classification technology has far-reaching research value and broad application prospects.reasonable audio classification can reduce space and improve efficiency.With the continuous development of modern science and technology,the Internet of things technology is also widely used in my life and work.However,the Internet of things industry still hinders the development of the Internet of things,because each business platform is developed to solve the problem,this kind of platform which is not open to the society has caused the islanding of services,but also brought challenges to audio;How to classify audio information,let users obtain a large number of audio information in the audio classification platform,and quickly and accurately retrieve the content they want has become the focus of research.In this paper,the audio classification technology is applied to the field of the Internet.through the requirement analysis and design of the classification sharing platform,the implementation of the audio classification sharing platform is constructed and tested,and the feasibility of the method is verified.The specific contents of the work are as follows:1.In this paper,the types of audio are distinguished by SVM technology.Audio data can be divided into two categories,mainly mute data and non-mute data.Then the nonmute class is divided into two categories: voice data and non-voice data,and then the data are analyzed and processed.2.Through the requirement analysis of the platform,the shared platform is constructed,which includes nine modules,such as user information,data sharing and so on.it is convenient for customers to view the data through the client and realize the management and control of the equipment.In the aspect of data acquisition,searching for streaming media data within a specified range,data about the Internet of things can be downloaded directly,and then subsequent processing is carried out in a file unit,the main processing being audio decoding,The category is then performed and the processing of the retrieval is identified.3.Through the experimental verification and analysis,the results show that each module of the platform meets the running requirements,which proves that the audio data classification and sharing platform designed in this paper has a certain openness and use value.4.The audio classification sharing platform can completely realize information collection,storage,integration and classification sharing,which provides a good reference for the future research of audio classification sharing platform in the Internet of things.