
Abstract The goal of this paper is to describe a systemaided performance and composition tool that aims to expand guitarist capacities by providing innovative ways in which the user can interact with the system. In order to achieve that, we decided to use an agentbased approach, independently modeling the active elements involved in a guitar performance as autonomous agents — named Left-Hand, Right-Hand, and Speaker (the guitar itself). These agents are able to communicate to each other in order to make some musical decisions, specially related to the chord’s shape choice. The musical elements (harmony and rhythm) are independently defined respectively by the Left-Hand and Right-Hand agents. The most relevant aspects of this work, however, are the algorithms and strategies to process both harmonic and rhythmic data. Finally, we perform an evaluation of the system and discuss the results of the implemented techniques.
Artificial intelligence, Economics, guitar computational model, Cognitive Neuroscience, Chord (peer-to-peer), Audio Signal Classification and Analysis, Multiagent, Visual arts, Guitar computational model, Database, Guitar, music performance, Musical composition, Computação musical, Human–computer interaction, Audio Event Detection, Life Sciences, Inteligência artificial, Computer science, Tactile Perception and Cross-modal Plasticity, Process (computing), Programming language, Management, Music performance, Harmony (color), Interactive Evolutionary Music Systems and Instruments, Computer Science, Physical Sciences, Signal Processing, multiagent, Musical, Computer Vision and Pattern Recognition, Art, Computer Science(all), Neuroscience
Artificial intelligence, Economics, guitar computational model, Cognitive Neuroscience, Chord (peer-to-peer), Audio Signal Classification and Analysis, Multiagent, Visual arts, Guitar computational model, Database, Guitar, music performance, Musical composition, Computação musical, Human–computer interaction, Audio Event Detection, Life Sciences, Inteligência artificial, Computer science, Tactile Perception and Cross-modal Plasticity, Process (computing), Programming language, Management, Music performance, Harmony (color), Interactive Evolutionary Music Systems and Instruments, Computer Science, Physical Sciences, Signal Processing, multiagent, Musical, Computer Vision and Pattern Recognition, Art, Computer Science(all), Neuroscience
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