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Автор: Jean-Pierre Briot, Gaetan Hadjere
Издательство: Springer
Год: 2019
Страниц: 303
Язык: английский
Формат: pdf (true)
Размер: 12.1 MB
This book is a survey and analysis of how Deep Learning (DL) can be used to generate musical content. The authors offer a comprehensive presentation of the foundations of Deep Learning techniques for music generation. They also develop a conceptual framework used to classify and analyze various types of architecture, encoding models, generation strategies, and ways to control the generation. There is no consensual definition for Deep Learning. It is a repertoire of Machine Learning (ML) techniques, based on artificial neural networks. The key aspect and common ground is the term deep. This means that there are multiple layers processing multiple hierarchical levels of abstractions, which are automatically extracted from data.