AI Song Variant Generation With Expert-Guided Loop Arrangement
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Solution Overview
Problem
Existing music generation software lacks the ability to guide users in creating complete and musically pleasing compositions, often leading to frustration and abandonment, despite advancements in computing power and user interface simplicity.
Innovation Solution
An AI-based system utilizing expert knowledge and machine learning to automatically generate and vary musical compositions by selecting and positioning audio loops, guided by user input and expert rules, to create a complete song structure and multiple variants.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users manually select and arrange individual audio loops to create song parts, then users can generate music without needing music theory knowledge, but users cannot complete full song compositions due to lack of patience and endurance
Solution Approach 1:
The system segments the song creation process into distinct parts (verses, chorus, bridge, outro) that can be independently generated and then automatically assembled into a complete song structure. This allows users to create full songs without manually arranging each loop, resolving the contradiction between ease of operation and productivity.
Solution Approach 2:
The AI system performs the labor-intensive task of selecting and arranging audio loops automatically without requiring continuous user intervention. The system serves itself by generating complete song structures based on user input, enabling full song completion while maintaining ease of use.
2Adaptability or versatility
If conventional music generation software provides simplified loop-based creation, then accessibility to music generation increases, but the software cannot guide users to create complete and musically satisfying compositions
Solution Approach 1:
The system incorporates musical expertise and theory knowledge into the AI model to provide feedback on loop selection and arrangement. This ensures that generated compositions are not only accessible to novice users but also musically satisfying and complete, resolving the contradiction between adaptability and reliability.
Solution Approach 2:
The system pre-establishes proper song structures and musical arrangements based on expert knowledge before users begin creating. This preliminary structuring guides the generation process to ensure complete and musically satisfying compositions while maintaining simplicity for users.
3Ease of operation
If users repeatedly discontinue the song creation process, then user frustration increases and software abandonment occurs, but generating complete songs requires significant time and effort
Solution Approach 1:
The AI system automatically performs the time-consuming tasks of loop selection, arrangement, and song structure assembly without requiring continuous user input. This eliminates the need for users to invest significant time and effort while maintaining simplicity, preventing frustration and abandonment.
Solution Approach 2:
The system divides the complex song creation process into automated segments that can be quickly generated and assembled. This segmentation allows complete songs to be produced efficiently without requiring users to invest excessive time, reducing frustration and loss of time.
Data Source
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AI summary
According to an embodiment, there is provided a system and method for automatic AI-based song construction based on ideas of a user. In some embodiments, an embodiment is provided with a database that contains harmony templates which can be used by the user to augment the playback of a given music work. Various embodiments of the instant invention also benefit from a combination of expert knowledge resident in an expert engine which contains rules for musically correct song generation and machine learning in an AI-based audio loop selection engine for the selection of compatible audio loops from a database of audio loops.