Machine Learning, AI, Artificial Intelligence, Audio, Neural Networks.
meaning) of sounds. An autoencoder is trained to encode an input into a compressed representation that can be reconstructed back into a representation with a high similarity to the input. This means that the autoencoder’s target output is the input itself [5]. If an input can be reconstructed