Shypd.aiThe largest open index of AI toolsDeepJ is a deep learning model for style-specific music generation, enabling users to compose music conditioned on a mixture of composer styles. It allows for tunable parameters to aid artists and composers.
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DeepJ is an end-to-end generative model designed for style-specific music generation, leveraging deep neural networks to compose music conditioned on a specific mixture of composer styles. This model introduces innovations for learning musical style and dynamics, offering tunable parameters that provide practical benefits for artists, filmmakers, and composers in their creative tasks. It allows users to control the style of generated music as a proof of concept, and evaluations show improvements over the Biaxial LSTM approach. The project is open-source and requires Python 3.5, Python MIDI, and other dependencies for training and generation.
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