MIDI Pitch Replacement via Ranking
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing methods for transferring rhythm and harmony between MIDI files are either too general or require large datasets for training, often resulting in unpredictable outcomes and potential errors in musical notes.
Innovation Solution
A method that ranks notes in a target MIDI file based on pitch and replaces their pitch information with corresponding notes from a source MIDI file, maintaining the rhythm while re-harmonizing, using either a naïve approach or machine learning algorithms to ensure accurate and predictable results.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If general methods for transferring rhythm and harmony between MIDI files are used, then the process can be automated, but the results become unpredictable and may contain errors in musical notes
Solution Approach 1:
The patent applies preliminary action by ranking target notes based on their pitch information before performing the pitch replacement. This pre-ordering ensures that when pitch information is transferred from source notes, it occurs in a systematic sequence that maintains musical correctness. The ranking step prepares the data structure in advance to prevent errors during the actual pitch transfer operation.
Solution Approach 2:
The patent introduces an intermediary mechanism by using a ranking system as a mediator between the source MIDI file and target MIDI file. Rather than directly transferring pitch information in an arbitrary manner, the ranking acts as an intermediary that organizes and matches pitch information systematically, ensuring reliable and musically correct transfers while maintaining automation.
2Measurement precision
If machine learning algorithms are used for pitch transfer, then more accurate results can be achieved, but large datasets are required for training
Solution Approach 1:
The patent extracts the essential feature of pitch information from MIDI files and processes it through a deterministic ranking-based algorithm. By taking out only the necessary pitch data and organizing it through ranking, the system achieves accurate pitch matching without requiring large training datasets. This extraction approach eliminates the need for complex machine learning training while maintaining precision.
Solution Approach 2:
The patent changes the approach from statistical learning (machine learning requiring large datasets) to a deterministic parameter-based method (ranking). By changing the fundamental parameter of how pitch matching is achieved—from probabilistic ML models to deterministic ranking algorithms—the system achieves precision without the need for extensive training data.
3Ease of manufacture
If pitch information is directly replaced without ranking, then the process is simpler, but wrong notes may be introduced
Solution Approach 1:
The patent applies preliminary action by ranking target notes before pitch replacement. This pre-ordering step adds minimal complexity to the process while ensuring that pitch information is assigned correctly. The ranking prepares the data in advance, making the subsequent pitch replacement both simple to execute and precise in its results.
Solution Approach 2:
The patent uses a copying approach where pitch information from source notes is copied to corresponding target notes based on ranking. This copying mechanism maintains the simplicity of direct replacement while ensuring correctness through the ranking-based matching, avoiding wrong notes without requiring complex processing.
Data Source
AI summary
The present disclosure relates to a method of automatically preparing a MIDI file based on a target MIDI file comprising respective note information about each of a plurality of target notes and a source MIDI file comprising respective note information about each of a plurality of source notes. Each note information comprises pitch information defining a pitch of the note. The method comprises ranking the plurality of target notes based on the pitch of each target note. The method also comprises, for each of the ranked target notes, removing the pitch information from the note information of the target note. The method also comprises, for each of the ranked target notes, replacing the removed pitch information with pitch information of a corresponding source note, whereby the target note has the same pitch as the corresponding source note, forming a plurality of new notes of a new MIDI file.