Music Deep Learning: A Survey on Deep Learning Methods for Music Processing
Lazaros Alexios Iliadis, Sotirios P. Sotiroudis, Kostas Kokkinidis, Panagiotis G. Sarigiannidis, S. Nikolaidis, Sotirios K. Goudos · 2022
Deep Learning has emerged as a powerful set of computational methods achieving great results in a variety of different tasks. Music signal processing, a field with rich commercial applications, seems to benefit too from this data-driven approach. In this paper a review of the state of the art Deep Learning methods applied on music signal processing is provided. A special focus is given in music information retrieval and music generation. In addition, possible future research directions are discussed.