New article published: Audio Restoration using Deep Autoencoders

A new publication in the lab. In this case, Alberto Nogales Moyano and Alvaro José García Tejedor have published a paper entitled: “A Deep Learning framework for audio restoration using Convolutional/Deconvolutional Deep Autoencoders” in the journal Expert systems with applications. This work which was the final thesis of former intern Santiago Donaher and consists of an autoencoder that can remove artificial background noise in audios of conversations. For that purpose, we simulate cases of interferences or loss of signal and evaluate the model performance with the help of more than 100 people.
Some samples may be accessed through the following link: https://soundcloud.com/waverinet-ceiec

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