Application of Internet of Things and Signal Processing in Professional Symphony Sound System Research

A speech recognition method of “Symphony” is proposed based on the Internet of Things. In the multiple locations, we need to obtain the acoustic information of the symphony. The DSP with TMS320VC5402 as the core realizes the analysis and processing of music signals in symphonies through the network transport layer. This paper analyzes the musical characteristics of symphonies at the application level. The maximum similarity between the music can be obtained by using dynamic timing rules to identify the musical characteristics of symphonies corresponding to the musical style and mood of the symphony. A symphony music recommendation algorithm is proposed, which decomposes the scoring matrix into the product of two implicit matrices, so as to obtain the implicit connection between listeners and symphonies. The optimal super parameters on Musical Instruments database are obtained by comparison experiment. More accurate recommendation results are obtained. The experimental results show that the designed control device is reliable. This system can not only obtain high quality symphonies, but also accurately distinguish the musical characteristics and emotional characteristics of symphonies.