Automated Song Generation for Process Learning

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Solution Overview

Problem

Creating a song to facilitate the memorization of a process is complex, requiring professional musicians and being costly, especially when the process involves multi-syllabic terms, and most computing end users lack the resources or knowledge to compose a melody compatible with specific lyrics, making it difficult for them to create engaging learning tools.

Innovation Solution

An automated method and system for generating a song for process learning, which involves loading a process description, defining lyrical segments, selecting a melody based on listener characteristics, and merging pre-recorded audio segments with musical phrases to create a personalized song.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If professional musicians are contracted to create a song for process memorization, then the quality and engagement of the learning tool is improved, but the cost and complexity of creation increases significantly

Engineering Contradiction:
Improvequality of learning toolVSAvoidcreation complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The system enables end users to automatically generate personalized songs for process memorization without requiring professional musicians. The automated song generation system allows users to input process information and receive a customized song, eliminating the need for external creative professionals and significantly reducing creation complexity while maintaining quality through algorithmic composition

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The patent replaces the manual, artistic process of song composition with an automated computational system. The system uses algorithms to map process information to musical structures, transforming a creative human endeavor into an automated mechanical process that can be performed by end users without specialized musical training

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

2Reliability

If professional musicians are contracted to create a song for process memorization, then the quality and engagement of the learning tool is improved, but the expense increases significantly

Engineering Contradiction:
Improvequality of learning toolVSAvoidcreation expense
Core Design Contradiction:
ReliabilityVSLoss of energy

Solution Approach 1:

The system enables end users to automatically generate personalized songs for process memorization without requiring professional musicians. The automated song generation system allows users to input process information and receive a customized song, eliminating the need for external creative professionals and significantly reducing creation complexity while maintaining quality through algorithmic composition

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The system generates songs on-demand using computational resources rather than expensive human professionals. Each song can be created quickly and discarded or regenerated as needed, replacing the expensive, time-consuming process of contracting musicians with a low-cost automated generation process that produces sufficient quality for learning purposes

Inventive Principle:
Principle #27Cheap short-living objects (Disposable)

3Loss of information

If the process includes multi-syllabic terms, then the information content to be memorized becomes more complex, but the coordination of lyrics with melody becomes even more complicated

Engineering Contradiction:
Improveinformation contentVSAvoidlyric-melody coordination
Core Design Contradiction:
Loss of informationVSDevice complexity

Solution Approach 1:

The patent replaces the manual, artistic process of song composition with an automated computational system. The system uses algorithms to map process information to musical structures, transforming a creative human endeavor into an automated mechanical process that can be performed by end users without specialized musical training

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

Solution Approach 2:

The system automatically adjusts musical parameters such as syllable timing, note duration, and melodic contour to accommodate the specific rhythmic and phonetic requirements of multi-syllabic process terms. By dynamically changing these musical parameters based on the input text, the system maintains proper coordination between lyrics and melody regardless of textual complexity

Inventive Principle:
Principle #35Parameter changes

4Ease of operation

If an automated song generation process is used, then the accessibility and personalization for end users is improved, but the difficulty of creating engaging songs varies with listener backgrounds and musical tastes

Engineering Contradiction:
Improveaccessibility for end usersVSAvoidengagement across diverse listeners
Core Design Contradiction:
Ease of operationVSAdaptability or versatility

Solution Approach 1:

The system incorporates multiple melody templates and stylistic options that can accommodate diverse listener preferences. By providing a universal platform that supports various musical styles and allows users to select from different template options, the system adapts to diverse backgrounds and tastes while maintaining ease of use for all end users

Inventive Principle:
Principle #6Universality (Multi-functionality)

Data Source

PatentUS7977560B2Automated generation of a song for process learning
Publication Date: 2011.07.12 RAKUTEN GROUP INC
  • US7977560B2 patent drawing
  • US7977560B2 patent drawing

AI summary

Embodiments of the present invention address deficiencies of the art in respect to ad hoc music creation to facilitate learning and provide a method, system and computer program product for the automated generation of a song for process learning. In an embodiment of the invention, a method for automated generation of a song for process learning can include loading from fixed storage a process description for transformation into a song intended to facilitate learning of the process by a target listener. The method also can include defining lyrical segments for the process description, selecting a particular melody from a set of melodies stored in fixed storage, and mapping the defined lyrical segments to musical phrases in the particular melody. Finally, the method can include merging pre-recorded audio segments corresponding to the defined lyrical segments with the musical phrases in the particular melody according to the mapping to generate the song.