Audio Harmonization Using Pitch Distribution-Based Pitch Shifts
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Solution Overview
Problem
Music software programs often require specialized knowledge to adjust musical components for harmonization, leading to frustrating user experiences for users without musical expertise.
Innovation Solution
An audio harmonization system that automatically adjusts the pitch distribution of audio samples to increase harmonic coherence by determining and applying a pitch shift based on the pitch distributions of two audio samples, allowing them to sound good together harmonically.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If music software provides extensive control over musical components for harmonization, then manufacturing precision is improved, but ease of operation deteriorates
Solution Approach 1:
The system automatically analyzes pitch distributions of audio samples and determines optimal pitch shifts without requiring user intervention. The computer executes algorithms that self-adjust musical components based on detected pitch characteristics, eliminating the need for users to manually control numerous harmonization parameters while maintaining high precision.
Solution Approach 2:
The system changes the pitch parameter of audio samples based on detected pitch distributions. By automatically adjusting pitch values to achieve harmonic coherence between samples, the system provides precise harmonization control through a single automated parameter adjustment rather than requiring manual control of multiple musical parameters.
2Ease of operation
If automatic pitch adjustment is implemented, then ease of operation is improved, but manufacturing precision may deteriorate
Solution Approach 1:
The system analyzes the pitch distribution of audio samples and uses this feedback to determine optimal pitch shifts. By continuously detecting pitch characteristics and adjusting based on detected patterns, the system achieves accurate harmonization automatically, maintaining high precision while simplifying user operation through intelligent feedback-driven adjustments.
Solution Approach 2:
The system replaces manual mechanical adjustment of pitch parameters with automated computational analysis. Computer algorithms substitute for manual musical expertise, automatically calculating optimal pitch shifts based on detected pitch distributions, thereby maintaining precision through computational accuracy rather than human skill.
Data Source
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AI summary
Two audio samples and/or sets of audio samples are identified. The pitch distributions of the audio samples and/or sets of audio samples are identified, the pitch distribution of an audio sample or set of audio samples referring to how much of each of multiple pitches of notes is present in the audio sample or set of audio samples. Based on the pitch distributions of the audio samples and/or sets of audio samples, at least one pitch of one of the audio sample and/or set of audio samples can be automatically adjusted (but need not be, depending on the pitch distributions) to increase harmonic coherence of the audio samples and/or sets of audio samples.