Research Article
An Improved Audio Processing Method for Campus Broadcast System
@INPROCEEDINGS{10.1007/978-3-031-04231-7_1, author={Xueying Li and Bo Liu and Haoyu Zhou}, title={An Improved Audio Processing Method for Campus Broadcast System}, proceedings={Edge Computing and IoT: Systems, Management and Security. Second EAI International Conference, ICECI 2021, Virtual Event, December 22--23, 2021, Proceedings}, proceedings_a={ICECI}, year={2022}, month={5}, keywords={Audio compressed sensing Optimized regular orthogonal matching pursuit algorithm Audio signal The campus broadcast}, doi={10.1007/978-3-031-04231-7_1} }- Xueying Li
Bo Liu
Haoyu Zhou
Year: 2022
An Improved Audio Processing Method for Campus Broadcast System
ICECI
Springer
DOI: 10.1007/978-3-031-04231-7_1
Abstract
A campus broadcast system is an important tool for school teaching and propaganda. However, different classrooms need to broadcast in separate channels decentralization and time-sharing at the same time, so it leads to more transmitted signals, frequent data interaction, bandwidth consumption, often large information delay, intermittent voice, and poor user experience. In order to reduce bandwidth and sampling frequency, based on compressed sensing theory, this paper proposes an optimized regular orthogonal matching tracking algorithm for audio processing (OROMP). This algorithm uses discrete wavelet transform as a sparse basis and the audio signal is sampled by Gaussian random matrix, then the optimized ROMP algorithm is used for audio reconstruction to improve the sound quality and precision of speech signal reconstruction in the broadcasting system. When the load of the broadcast terminal is less than 200 and the maximum shunting is 30, the audio delay time can be controlled below 200 ms, the residual error is about 1/4 of the OMP algorithm. The reconstruction time is reduced and the reconstruction quality is improved, which can meet the normal use of a large campus.
