Portugal

music generation

latent space

personalization

machine learning

Computational creativity is the art, science, philosophy and engineering of computational systems which, by taking on particular responsibilities, exhibit behaviours that unbiased observers would deem to be creative. As a field of research, this area is thriving, with progress in formalising what it means for software to be creative, along with many exciting and valuable applications of creative software in the sciences, the arts, literature, gaming and elsewhere.

The ICCC conference series organized by the Association for Computational Creativity since 2010 is the only scientific conference that focuses on computational creativity alone and also covers all aspects of it.


ICCC'20

AIAI 2020 (16th International Conference on Artificial Intelligence Applications and Innovations) should be held in Halkidiki, Greece. Due to current Covid-19 situation the conference will be held virtually. Underline will host a repository of video talks and preserve them for the future. Videos will be released on Underline one day after the conference.

AIAI 2020

In this paper we present R-VAE, a system designed for the exploration of latent spaces of musical rhythms. Unlike most previous work in rhythm modeling, R-VAE can be trained with small datasets, enabling rapid customization and exploration by individual users. R-VAE employs a data representation that encodes simple and compound meter rhythms. To the best of our knowledge, this is the first time that a network architecture has been used to encode rhythms with these characteristics, which are common in some modern popular music genres.

Creating Latent Spaces for Modern Music Genre Rhythms Using Minimal Training Data

technical paper

An Approach for Text-to-Emoji Translation

Hand-Crafting Neural Networks for Art-Making

ARNY: A Co-Creative System Design Based On Emotional Feedback

Feel The Music: Automatically Generating A Dance For An Input Song

Emotive Music Composition from Visual Sources of Inspiration

Flow 1

Flow 2

Score and Lyrics-Free Singing Voice Generation

Shaping the Narrative Arc: Information-Theoretic Collaborative Dialogue

Action Selection in the Creative Systems Framework

poster

Creating Latent Spaces for Modern Music Genre Rhythms Using Minimal Training Data

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