DAW AI Music Composition Plug-In With Remote Processing

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Solution Overview

Problem

Conventional AI-based music composition systems face inefficiencies when integrated with digital audio workstations (DAWs), leading to reduced work efficiency and processing delays due to high information processing loads.

Innovation Solution

A system where a user terminal incorporates a plug-in with an automatic composition function that offloads processing to a remote processing server, allowing seamless integration with DAWs by using a Markov model for music generation.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Extent of automation

If the automatic composition function is executed at the same time as the DAW in the terminal device, then the AI music generation function is available, but the processing load becomes too heavy causing DAW processing delays and insufficient function performance

Engineering Contradiction:
Improveautomatic composition functionVSAvoidDAW processing efficiency
Core Design Contradiction:
Extent of automationVSProductivity

Solution Approach 1:

The system divides the automatic composition function into separate processing units: a light client on the terminal device that handles user interface and music data reception, and a server that handles the heavy machine learning computation. This segmentation allows the DAW to run smoothly on the terminal while AI composition occurs remotely.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent introduces a server as an intermediary between the terminal device and the AI music generation system. The server receives music data from the terminal, processes it through machine learning models, and returns generated music data, thereby offloading computational burden from the terminal device.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Adaptability or versatility

If the user works while going back and forth between different work environments (DAW and AI composition system), then the AI music generation function can be used, but work efficiency is reduced

Engineering Contradiction:
ImproveAI music generation capabilityVSAvoidwork efficiency
Core Design Contradiction:
Adaptability or versatilityVSLoss of time

Solution Approach 1:

The patent merges the AI composition interface with the DAW interface by implementing the AI function as a plug-in within the DAW environment. This integration allows users to access both DAW controls and AI composition capabilities through a single unified interface, eliminating the need to switch between different work environments.

Inventive Principle:
Principle #5Merging (Combining)

3Extent of automation

If conventional AI music generation technology is used, then music composition is possible, but the high information processing load causes processing delays and reduces functional performance

Engineering Contradiction:
ImproveAI music compositionVSAvoidprocessing performance stability
Core Design Contradiction:
Extent of automationVSReliability

Solution Approach 1:

The patent replaces the mechanical processing system (local CPU/GPU computation on the terminal device) with a cloud-based server system. This substitution moves the heavy computational burden from the terminal device to a remote server with more powerful processing capabilities, ensuring stable and reliable AI composition performance.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentEP3926619B1Information processing device, information processing method, and information processing program
Publication Date: 2025.10.15 SONY GROUP CORP
  • EP3926619B1 patent drawingFigure 1
  • EP3926619B1 patent drawingFigure 2
  • EP3926619B1 patent drawingFigure 3

AI summary

An information processing device (100) according to the present disclosure is an information processing device that controls a first application (20) and a second application (20) that functions as a plug-in that extends functions of the first application. The first application includes a control unit (161) that controls operation of the second application in the first application, and the second application includes a selection unit (166) that selects setting information for controlling a composition function based on machine learning, and a transmission/reception unit (167) that transmits the setting information to an external server (200) that executes a composition function based on machine learning and receives music data composed by the external server through a network.