Electronic Music Signal Identification Model Based On Machine Learning Algorithm

The main idea of this model is to recognize sound signals and classify them into musical instruments. The working principle of the model is that different sounds have different characteristics and can be used for classification. The algorithm is based on machine learning algorithm, which can learn from data and improve performance over time. The concept of the model is to automatically identify music signals so that they can be used as inputs to other models. The model is based on machine learning algorithm and uses artificial neural network (ANN) and machine learning technology. Artificial neural network is a computer algorithm that simulates the working mode of human brain neurons. Machine learning algorithms are more complex than artificial neural networks, which use different types of layers to process data and learn from it. They have been successfully applied in many fields, such as image recognition, speech recognition, text classification and so on.