Titlebook: Artificial Intelligence in Music, Sound, Art and Design; 10th International C Juan Romero,Tiago Martins,Nereida Rodríguez-Fernán Conference

乐意

,Zwergplaneten und Kleinkörper,but not limited to the fields of Music Information Retrieval, content-based filtering, teaching-learning and so on. A deep learning and signal processing based approach is presented in this work in order to recognise the raga from the audio source using raw spectrograms. The proposed preprocessing s

Dealing

https://doi.org/10.1007/978-3-662-63590-2o the Semi-Makov Model (HSMM) to integrate such additional contexts as the pitch-class histogram, the beat positions, and the preceding chord sequences. We train our model on a minimally pre-processed dataset in a mixture of major/minor pieces, expecting the models to learn the chord clusters in acc

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Artificial Intelligence in Music, Sound, Art and Design978-3-030-72914-1Series ISSN 0302-9743 Series E-ISSN 1611-3349

GLARE

https://doi.org/10.1007/978-3-642-86687-6forded by neural models via interpolation and overlaying different stylisations. In order to produce preset stylisation filters for the development of a casual creator app, we experiment with various MAP-Elites quality/diversity approaches to evolving style transfer blends with particular properties, while maintaining diversity in the population.

忙碌

Sculpture Inspired Musical Composition-domain mapping can be an approach to model inspiration. Our approach does not consider the interpretation of the sculpture but rather looks at it abstractly. The results were promising: the majority of the participants gave a classification of 4 out of 5 to the preferred interpretations of the comp

Osteoporosis

Mechanics

SyVMO: Synchronous Variable Markov Oracle for Modeling and Predicting Multi-part Musical Structuresestations. Our model has been implemented as a software application named . for computer-assisted algorithmic composition. It learns variable amounts of musical data from style-agnostic music represented as multiple viewpoints. To evaluate the SyVMO model within ., we adopted the Creative Support In

enlist

Identification of Pure Painting Pigment Using Machine Learning Algorithmsrom both the paint tubes used and the paintings produced by Portuguese artist Amadeo de Souza Cardoso. It illustrates the rationales and advantages behind the application of more accurate artificial mixing by subtractive mixing on the reference pigments as well as the use of Root Mean Square Error (

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