Abstract
In this paper we present a novel framework for the study and design of AI assisted musical devices (AIMEs). Initially, we present a taxonomy of these devices and illustrate it with a set of scenarios and personas. Later, we propose a generic architecture for the implementation of AIMEs and present some examples from the scenarios. We show that the proposed framework and architecture are a valid tool for the study of intelligent musical devices.
Cite
CITATION STYLE
Civit, M., Muñoz-Saavedra, L., Cuadrado, F., Tijus, C., & José Escalona, M. (2023). FAIME: A Framework for AI-Assisted Musical Devices. In Internet of Things - New Trends, Challenges and Hurdles. IntechOpen. https://doi.org/10.5772/intechopen.108898
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