A Framework for AI assisted Musical Devices
Miguel Civit, Luis Munoz Saavedra, Francisco Jose Cuadrado, Charles, Tijus, Maria J. Escalona

TL;DR
This paper introduces a comprehensive framework and architecture for designing AI-assisted musical devices, including taxonomy, scenarios, and personas, to facilitate their study and development.
Contribution
It presents a novel taxonomy and a generic architecture for AI-assisted musical devices, supported by scenario-based examples, advancing the understanding and design of such devices.
Findings
Framework and architecture are effective tools for studying intelligent musical devices
Taxonomy and scenarios help categorize and understand AIMEs
Examples demonstrate practical application of the proposed framework
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.
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