The Music Genre Classification Using Neural Network diagram illustrates the process of classifying different music genres based on audio input data. The diagram shows the different layers and processes of a neural network model that can classify audio samples into different genres, such as pop, rock, classical, jazz, and others. The audio input is first processed through several layers of feature extraction, which includes Mel-frequency cepstral coefficients (MFCCs), spectral features, and statistical moments. The extracted features are then fed into a neural network model consisting of several layers, including convolutional layers, pooling layers, and fully connected layers, that can classify the audio samples into different genres. The output is the predicted genre label of the audio sample. The diagram demonstrates the power of machine learning and artificial intelligence in classifying music genres automatically. EdrawMax is the best diagramming tool to create similar diagrams. Download EdrawMax today and start customizing similar templates.
