Titlebook: Artificial Intelligence in Music, Sound, Art and Design; 13th International C Colin Johnson,Sérgio M. Rebelo,Iria Santos Conference proceed

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bonnet

,MoodLoopGP: Generating Emotion-Conditioned Loop Tablature Music with?Multi-granular Features,cing controllability can enrich these models, with emotional expression being a crucial aspect for both creators and listeners. Hence, building upon LooperGP, a loopable tablature generation model, this paper explores endowing systems with control over conveyed emotions. To enable such conditional g

Left-Atrium

,Weighted Initialisation of?Evolutionary Instrument and?Pitch Detection in?Polyphonic Music,s which are sparse in the field of music information retrieval, presenting a need for unsupervised alternative methods that do not require such prerequisites. We present a modification to an evolutionary algorithm for polyphonic music approximation through synthesis that uses spectral information to

glucagon

eulogize

,Adaptation and?Optimization of?AugmentedNet for?Roman Numeral Analysis Applied to?Audio Signals, Roman numeral labels. The original network was trained on a combination of computer encodings of digital scores and human harmonic analyses thereof. Learning from these pairs, the system predicts new harmonic analyses for unseen examples. However, for much music, no score symbolic is available. For

成份

,Generating Smooth Mood-Dynamic Playlists with?Audio Features and?KNN,lly which are constant in genre or mood. We propose a method to automatically create playlists dynamic in both the Arousal-Valence emotion space and the audio features of songs. Our playlist algorithm uses a two-stage approach to sequentially choose songs, employing a .-Nearest Neighbors (KNN) model

cognizant

,Pruning Worlds into?Stories: Affective Interactions as?Fitness Function,of events that will make a story that moves the intended audience. One possible criterion is to consider events that involve significant changes in the emotional relations between the characters involved. The present paper explores a computational model of this particular approach to the task of sto

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Militia

,Towards Sound Innovation Engines Using Pattern-Producing Networks and?Audio Graphs,g evolutionary processes to promote diversity and foster serendipitous discoveries, we propose to automate the search through uncharted sonic spaces for sound discovery. We argue that such diversity promoting algorithms can bridge a technological gap between the theoretical realisation and practical

Reverie

,Co-creative Orchestration of?, with?Layer Scores and?Orchestration Plans,stral texture. In this research/creation project, our team was commissioned to create an AI/human orchestration of two movements of ., a piano composition by Gissel Velarde. The project turned out as a perfect case study for computational creativity in music and orchestration, where the role of the