Hybrid AI Song Construction via Expert and Machine Learning Loop Selection
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Solution Overview
Problem
Users face challenges in completing and creating musically pleasing songs due to the complexity and tediousness of manually selecting and arranging audio loops, leading to frustration and abandonment of music generation software.
Innovation Solution
A hybrid AI-based system combining expert knowledge and machine learning to assist in song construction, providing musically correct suggestions for audio loop selection and positioning, allowing users to automate or complete the music generation process with expert guidance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users manually select and arrange audio loops to create music, then they have creative control over the composition, but the process becomes tedious and complex, leading to user frustration and abandonment
Solution Approach 1:
The system enables self-service music generation by automatically selecting and arranging audio loops based on user input parameters (genre, mood, instruments). The AI engine independently performs the complex task of constructing complete songs with multiple tracks, eliminating the need for users to manually assemble each loop while maintaining creative control through parameter selection.
Solution Approach 2:
The patent introduces an AI-based intermediary engine that mediates between user preferences and the complex process of music composition. This intermediary automatically translates simple user inputs into professionally structured songs with proper arrangement, harmony, and instrumentation, bridging the gap between novice users and professional-quality output.
2Productivity
If users manually create complete songs with multiple song parts, then they achieve musically satisfying compositions, but the process requires excessive time and patience beyond most users' endurance
Solution Approach 1:
The system performs preliminary actions by pre-processing and organizing extensive audio loop libraries into structured formats with metadata tags (genre, mood, instruments, tempo). This preliminary organization enables the AI engine to rapidly assemble complete songs by selecting from pre-categorized loops, dramatically reducing the time required for music creation while maintaining quality.
Solution Approach 2:
The AI engine autonomously performs the entire song construction process including selecting appropriate audio loops for each instrument track, arranging them in proper temporal sequence, and ensuring musical coherence across multiple tracks. This self-service capability generates complete 2+ minute songs in minutes rather than requiring users to spend hours manually constructing each part.
3Adaptability or versatility
If software provides only pre-generated audio loops for music creation, then the process is simplified for novice users, but the resulting compositions lack musical depth and variety
Solution Approach 1:
The patent implements a universal music generation system that handles multiple genres, moods, and instrumentation combinations through a single AI engine. The system can generate diverse musical styles (pop, rock, jazz, electronic, etc.) and emotional tones (happy, sad, energetic, calm) by adjusting parameter inputs, providing versatile music creation capabilities while maintaining a simple unified interface for all operations.
Solution Approach 2:
The system leverages parameter changes to achieve versatility in music generation. By modifying input parameters such as genre selection, mood preferences, instrument choices, tempo, and key signature, the AI engine dynamically adjusts the song construction process to produce vastly different musical compositions. This parameter-driven approach enables unlimited creative versatility while keeping the user interface simple and consistent.
Data Source
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.