BELLEVUE INVESTMENTS GmbH & Co. KGaA (20240304167). GENERATIVE MUSIC SYSTEM USING RULE-BASED ALGORITHMS AND AI MODELS simplified abstract
Contents
GENERATIVE MUSIC SYSTEM USING RULE-BASED ALGORITHMS AND AI MODELS
Organization Name
BELLEVUE INVESTMENTS GmbH & Co. KGaA
Inventor(s)
GENERATIVE MUSIC SYSTEM USING RULE-BASED ALGORITHMS AND AI MODELS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240304167 titled 'GENERATIVE MUSIC SYSTEM USING RULE-BASED ALGORITHMS AND AI MODELS
The abstract describes a method of rule-based algorithmic generative music system that utilizes templates containing all the necessary information to create a music work efficiently by selecting, arranging, and adapting audio material stored in databases.
- Templates provided for building music works efficiently
- Combines vast audio material stored in databases for selection, arrangement, and adaptation
- Rule-based algorithmic generative music system
- Method for generating output music work
Potential Applications: - Music composition - Soundtrack creation for films, TV shows, and video games - Background music for various applications - Educational tools for music theory and composition
Problems Solved: - Streamlining the music creation process - Efficiently utilizing vast audio material for music generation - Providing a structured approach to music composition
Benefits: - Saves time in music creation - Enables easy adaptation and arrangement of audio material - Enhances creativity in music composition
Commercial Applications: Title: Rule-Based Algorithmic Generative Music System for Efficient Music Composition Potential commercial uses include music production software, online music composition tools, and music creation apps for mobile devices. This technology can revolutionize the way music is composed and produced in various industries.
Questions about Rule-Based Algorithmic Generative Music System:
1. How does the method of rule-based algorithmic generative music system differ from traditional music composition techniques?
- The method utilizes templates and databases to efficiently generate music works, streamlining the composition process compared to traditional methods.
2. What are the key advantages of using a rule-based algorithmic generative music system for music composition?
- The system allows for easy selection, arrangement, and adaptation of audio material, saving time and enhancing creativity in music composition.
Original Abstract Submitted
according to a first embodiment, there is presented here a method of rule-based algorithmic generative music system. templates are provided that contain all the information needed to build a music work, wherein this information combines the vast audio material stored in databases efficiently for selection, arrangement, and adaptation and in the end generation of the output music work.
