Conditioning Deep Generative Raw Audio Models for Structured Automatic Music

26 Jun 2018Rachel ManzelliVijay ThakkarAli SiahkamariBrian Kulis

Existing automatic music generation approaches that feature deep learning can be broadly classified into two types: raw audio models and symbolic models. Symbolic models, which train and generate at the note level, are currently the more prevalent approach; these models can capture long-range dependencies of melodic structure, but fail to grasp the nuances and richness of raw audio generations... (read more)

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