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Titlebook: Artificial Intelligence in Music, Sound, Art and Design; 12th International C Colin Johnson,Nereida Rodríguez-Fernández,Sérgio M Conference

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楼主: Retina
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Extending the Visual Arts Experience: Sonifying Paintings with AIuation of a small set of sonified paintings. Addition of high level features such as sounds extracted from the scene played a big role in this. Among the challenges observed during the interviews was the need to add emotion and mood information as well as semantic information to the sonification in
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GTR-CTRL: Instrument and Genre Conditioning for Guitar-Focused Music Generation with Transformersropose instrument presence metrics to assess the inst-CTRL model’s response to a given instrumentation prompt. We trained a BERT model for downstream genre classification and used it to assess the results obtained with the genre-CTRL model. Statistical analyses evidence significant differences betwe
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Artistic Curve Steganography Carried by Musical Audio Our scheme is simple and encoding happens efficiently with a nonnegative least squares framework, while decoding is trivial. We validate our technique quantitatively on large datasets of images and audio, and we show results of a crowd sourced listening test that validate that the hidden informatio
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LooperGP: A Loopable Sequence Model for Live Coding Performance Using GuitarPro Tablature of musically meaningful control parameters and a lack of structured musical form in their outputs. To address these issues we introduce LooperGP, a method for steering a Transformer-XL model towards generating loopable musical phrases of a specified number of bars and time signature, enabling a too
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Music Generation with Multiple Ant Colonies Interacting on Multilayer Graphsirst define a new multilayer graph model of music that contains several voices musical works. Then, we adapt ACO algorithms to allow multiple ant colonies to generate solutions on each layer while interacting with each other. This methodology is illustrated with some example configurations that show
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Automatically Adding to Artistic Culturess for enhancing cultural knowledge, via artefact generation. We argue that while generative deep learning techniques and ethos have many drawbacks in this respect, neuro-symbolic approaches and increased AI autonomy could improve matters so that AI systems may be able to add to cultural knowledge di
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