Generative Model for Musical Piece Difficulty Adjustment

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Solution Overview

Problem

Conventional methods for changing the difficulty level of musical pieces result in uniform and monotonous arrangements, failing to effectively respond to diverse performer requirements, making them unsuitable for commercial applications.

Innovation Solution

A musical piece generation device and method using a trained generative model to adjust the difficulty level of musical pieces by acquiring target musical piece data and a difficulty level parameter, allowing for the generation of new musical pieces with varied difficulty levels.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of manufacture

If rule-based systems are used to automatically generate arranged musical pieces, then work cost is reduced, but the arrangement becomes uniform and monotonous

Engineering Contradiction:

Improvework costVSAvoidarrangement quality

Core Design Contradiction:

Ease of manufactureVSAdaptability or versatility

Solution Approach 1:

The patent replaces rule-based mechanical systems with a deep learning-based generative model. The system uses neural networks trained on musical data to automatically generate arranged musical pieces, substituting the deterministic rule-based approach with a probabilistic learning-based approach that can produce diverse and high-quality arrangements while maintaining automation.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Extent of automation

If rule-based systems are used to change difficulty levels, then automation is achieved, but diverse performer requirements cannot be met

Engineering Contradiction:

ImproveautomationVSAvoiddifficulty level adaptation

Core Design Contradiction:

Extent of automationVSAdaptability or versatility

Solution Approach 1:

The patent uses parameter changes by incorporating difficulty level specifications as input parameters to the generative model. The system accepts difficulty level parameters and uses them to control the generation process, enabling automated adaptation to diverse performer requirements while maintaining full automation. The model learns to adjust musical arrangements based on these parameters during training.

Inventive Principle:

Principle #35Parameter changes

Data Source

PatentUS20230162714A1Musical piece generation device, musical piece generation method, musical piece generation program, model generation device, model generation method, and model generation program

Publication Date: 2023.05.25 YAMAHA CORP

AI summary

A musical piece generation device includes an electronic controller including at least one processor. The electronic controller is configured to execute a plurality of modules including a data acquisition module configured to acquire target musical piece data indicating at least a part of a musical piece, a parameter acquisition module configured to acquire a value of a difficulty level parameter, a generation module configured to, by using a trained generative model, generate, from the target musical piece data and the value of the difficulty level parameter, new musical piece data indicating at least a part of a new musical piece obtained by changing a difficulty level of the musical piece to a difficulty level specified by the difficulty level parameter, and an output module configured to output the new musical piece data that has been generated.