AI Composition Platform Integrating Model Training and Song Data Sales
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Solution Overview
Problem
Existing technologies for automatic song composition lack comprehensive services beyond simply generating and selling songs, failing to provide a platform for music curators to purchase, train, and sell deep learning models and data for customized song creation.
Innovation Solution
A system for a customized AI composition platform that includes a music curator device and a platform server, enabling music curators to purchase, train, and sell deep learning models and generated song data, with integrated services for model management, training, certification, and sales.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a simple structure of selling automatically generated songs is used, then the system is easy to operate, but the service comprehensiveness deteriorates as it cannot provide training and model management services
Solution Approach 1:
The platform server is designed to perform multiple functions: providing deep learning models, providing learning data, collecting trained models, collecting generated song data, and managing the open market platform. This multi-functional design allows the system to offer comprehensive services including model training, data management, and song generation while maintaining a unified easy-to-use interface for music curators.
2Adaptability or versatility
If comprehensive services including model training and management are provided, then the service comprehensiveness is improved, but the device complexity increases
Solution Approach 1:
The patent combines previously separate functions (model provision, data provision, training execution, model collection, song generation, and market management) into a single integrated platform server. This merging reduces the number of separate systems needed and simplifies the overall architecture while maintaining comprehensive service capabilities.
Solution Approach 2:
The system enables music curators to independently purchase models and data, train models using provided resources, and sell generated content on the open market platform without requiring complex manual configuration or external intervention. The automated workflow from purchase to training to sale reduces operational complexity despite the comprehensive services offered.
3Adaptability or versatility
If music curators can directly purchase and train models, then the customization capability is improved, but the difficulty of operation increases due to training requirements
Solution Approach 1:
The platform server prepares and provides pre-configured deep learning models and learning data before the music curator needs them. By having models and training data ready in advance and making them easily purchasable, the system eliminates the need for curators to perform complex model selection and data preparation, thus maintaining ease of operation while enabling high customization through training.
Data Source
AI summary
The present invention provides a system for a customized AI composition platform and an operating method of a music curator device. The system comprises a music curator device training deep learning models to generate songs and a platform server providing comprehensive services by providing learning data and deep learning models for automatic composition and collecting trained deep learning models and/or generated song data from at least one or more music curator device, wherein the music curator device transmits a deep learning model trained by a music curator or song data generated by the trained deep learning model to an open market platform.