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Sensoring a Generative System to Create User-Controlled Melodies.

María Navarro-Cáceres1, Wataru Hashimoto2, Sara Rodríguez-González3

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Summary
This summary is machine-generated.

This study introduces an intelligent music generation system. A Case-Based Reasoning (CBR) system allows users to co-create melodies via a mechanical device, learning and improving over time.

Keywords:
CBRhand movementsmechanical devicemelody generation

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Area of Science:

  • Artificial Intelligence
  • Music Technology
  • Human-Computer Interaction

Background:

  • Automatic music generation is a rapidly advancing research area.
  • Existing systems often focus on human-machine collaboration in music creation.
  • Intelligent systems are needed to assist users in composing music.

Purpose of the Study:

  • To propose an intelligent system for user-guided melody generation.
  • To develop a system that learns from user input and improves composition quality.
  • To explore the use of a mechanical device for intuitive musical control.

Main Methods:

  • The system employs a Case-Based Reasoning (CBR) architecture for adaptive learning.
  • A mechanical device captures user movements and translates them into musical elements.
  • Users can adjust melody pace, note characteristics (e.g., pitch), and receive system feedback through movement resistance.

Main Results:

  • Experimental validation confirmed the system's ability to generate music in a specific style.
  • User feedback indicated that partial control via the device was crucial for music quality.
  • The system demonstrated learning capabilities, improving its performance over time.

Conclusions:

  • The proposed CBR-based system effectively supports user-guided music generation.
  • The integration of a mechanical device enhances user control and musical expression.
  • This approach facilitates the creation of stylistically coherent melodies through human-machine synergy.