Automated Music Composition via Melody Segmentation and Style Library
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Solution Overview
Problem
Existing music composition technologies face challenges in creating good-sounding accompaniment for melodies, as they struggle to analyze and characterize audio files effectively, leading to limited success in automating music composition.
Innovation Solution
The technology automatically characterizes input audio files by splitting melodies into song form sections, assigning section types, and providing accompaniment based on these sections, using a style library with predefined settings for each instrument and section type to create varied and relevant musical arrangements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automated music composition technology is used to create accompaniment for melodies, then productivity of music composition is improved, but the quality of accompaniment becomes difficult to control due to the complexity of musical styles, instruments, and phrasings
Solution Approach 1:
The system segments the music composition task into distinct components: melody extraction from audio input, automatic chord progression generation, style selection from predefined templates, and instrument arrangement. This segmentation allows each component to be handled separately with appropriate algorithms, improving both automation capability and quality control.
Solution Approach 2:
The system uses parameter changes by allowing users to adjust musical parameters such as tempo, key, style genre, and instrumentation preferences. The automated system generates accompaniment by varying these parameters within musically valid ranges, enabling quality control through parameter optimization while maintaining productivity.
2Adaptability or versatility
If the system provides extensive choices of musical styles, instruments, and phrasings, then adaptability of the composition system is improved, but device complexity increases making it difficult for typical consumers to operate
Solution Approach 1:
The system performs preliminary action by pre-defining multiple complete musical styles with associated instruments, phrasings, and arrangements. Users simply select from these pre-configured style options rather than configuring individual musical parameters, which maintains high adaptability while dramatically simplifying the user interface and ease of operation.
Solution Approach 2:
The system achieves universality by designing a unified style template structure that can represent multiple musical genres and instrumentation combinations through a common parameter framework. This allows the same interface to handle diverse musical styles without increasing complexity, as the underlying system universally applies the same control mechanisms across different genres.
Data Source
AI summary
A music composition automation system includes logic to assign metadata to an audio recording to divide a melody in the recording into sections, and to identify song form section types for the sections. In addition, logic to associate audio accompaniment with the sections based on the identified section types can be based on a style library, that is arranged to provide data executable by a data processing system to generate musical phrases associated with respective styles. Musical phrases in the style library include metadata specifying characteristics of the phrase according to song form section type.