Intelligent Music Recognition System Based on Neural Network Algorithm

The strong professionalism and diversity of music, as well as the complexity of music theory knowledge, make specialized music recognition products very scarce and incomplete at present. The artificial intelligence music recognition system in this article includes: music acquisition module, interface module, data processing module, and result output module. This interface module was used to connect the music acquisition module and the data processing module. The music acquisition module was used to obtain music and transmit it to the data processing module to perform a recognition and evaluation process. After identification and evaluation, the data processing module obtained a result and transmitted it to the result output module for output. The neural network algorithm used in this article is convolutional neural network. In piano recognition, the number of notes in convolutional neural network was 50; the number of recognized notes was 47, and the recognition rate was 94%. This article is helpful for efficient music recognition.