Machine Learning, AI, Artificial Intelligence, Audio, Neural Networks.
Spectral Sound Embeddings We can apply the unsupervised autoencoder NN architecture as an attempt to learn common properties associated with complex spectra. Like word embeddings, its possible to find commonalities in frequency spectra that represent select features (or a more tightly condensed