Identification and Classification of Chinese Traditional Musical Instruments Based on Deep Learning Algorithm

Abstract

The classification of musical instruments based on deep learning is the application of deep learning in the direction of music information retrieval, which is a hot topic in the field of speech recognition in recent years. Deep learning is an important branch of artificial intelligence and a new direction of data mining in recent years. Deep learning is born from artificial neural networks. It has more hidden layers than shallow neural networks. This is the origin of the word depth . Unlike traditional neural networks, deep learning increases unsupervised learning. Therefore, this paper studies whether we can use the powerful feature extraction ability of deep learning to study the classification algorithm of music genre recognition based on deep confidence network for the recognition and classification of music genres and traditional Chinese musical instruments. The experimental results show that the accuracy of the algorithm is as high as 99.2.