Audio Generation System with Harmonic Chord Structure Analysis
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Solution Overview
Problem
The integration of generative Artificial Intelligence (AI) in music creation poses challenges in identifying and enforcing copyright, leading to potential legal issues and ethical concerns regarding the rights of original creators.
Innovation Solution
A method and system for generating audio output files that involve receiving audio files, separating them into selectable audio blocks, analyzing and modifying the harmonic chord structure, and adapting the musical tracks to a new harmonic chord structure, while ensuring proper attribution and compliance with copyright laws.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If generative AI models are trained on copyrighted music without proper licensing, then the productivity and creativity of music generation is improved, but copyright infringement risks and legal consequences increase
Solution Approach 1:
The system performs preliminary analysis of the input music track to extract harmonic chord structure, tempo, and genre characteristics before generation. This preliminary action enables the AI to understand the structural framework of copyrighted works without directly copying them, allowing efficient generation while avoiding infringement by focusing on structural abstraction rather than content replication.
Solution Approach 2:
The system transforms the input music into abstract parameters (harmonic progression, tempo, genre tags) rather than working with the raw audio content. By changing the representation parameters from concrete audio waves to abstract musical structures, the AI can learn patterns and generate new music that captures the essence of the training data without copying specific copyrighted expressions.
2Ease of operation
If AI-generated music closely resembles copyrighted works, then the ease of operation and user satisfaction is improved, but the reliability of copyright enforcement and creator rights protection deteriorates
Solution Approach 1:
The system segments the music generation process into distinct phases: analysis of input track characteristics, extraction of harmonic chord structure, selection of audio blocks from unrelated tracks, and adaptation to new structure. This segmentation allows the AI to satisfy user preferences for familiar musical patterns while ensuring each segment operates independently to avoid direct copying of copyrighted material.
Solution Approach 2:
The system introduces an intermediary process that adapts audio blocks from unrelated musical tracks to match the harmonic chord structure of the input track. This intermediary transformation ensures that the final output resembles the input in terms of musical structure and feel, while the source material comes from different copyrighted works, thereby reducing direct infringement risks while maintaining user satisfaction.
3Adaptability or versatility
If existing AI systems generate music from copyrighted material, then the adaptability and versatility of music creation is improved, but the loss of information regarding proper attribution and creator recognition increases
Solution Approach 1:
The system implements feedback loops where the analysis of input track characteristics informs the selection and adaptation of audio blocks, and the resulting generated music can be analyzed to verify it captures the desired musical essence. This feedback mechanism ensures adaptability to user preferences while maintaining traceability of the transformation process, allowing for proper attribution information to be preserved and communicated.
Data Source
AI summary
A method of generating an audio output file via a computer system includes receiving one or more audio files including musical tracks; separating each audio file into at least one selectable audio block; selecting an audio block and analysing the harmonic chord structure of the musical track; determining a new harmonic chord structure; and adapting the musical track to the new harmonic chord structure. The system for outputting an audio file includes a unique identifier module; a chord progression constructor; an instrument role allocator; a melodic DNA transposer; a musical elements analyst; an element selector module; an integration & adaptation module; a genre application module; an integration & adaptation module; and a genre application module. The system includes an interactive user editing control panel, aimed at offering extensive control over various musical aspects within an AI generated music track. The output file can be an audio file or MIDI file.