Pitch-Interval Music Mix Generation for Harmonic Compatibility
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The challenge of creating perceptually high-quality music mixes from large collections of music clips is hindered by the difficulty in efficiently discovering musically compatible clips, as existing systems often fail to consider harmonic compatibility and require manual trial and error.
Innovation Solution
A computer-implemented system that uses pitch interval space vectors to determine harmonic compatibility between music clips, allowing for efficient identification of compatible clips, even across different BPMs and keys, and incorporates additional attributes like rhythmic, spectral, and timbral compatibility.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual trial and error is used to find compatible music clips, then harmonic compatibility can be assessed by human ears, but the process is time-consuming and frustrating
Solution Approach 1:
The patent replaces manual auditory assessment with an automated computer-based system that calculates harmonic compatibility using pitch interval space vectors. The system computes compatibility metrics between music clips by analyzing their pitch content and harmonic relationships, substituting human ear-based evaluation with algorithmic computation to dramatically reduce time while maintaining assessment accuracy.
Solution Approach 2:
The system enables music clips to 'self-evaluate' their compatibility with each other through automated calculation of pitch interval space vectors and compatibility metrics. The clips independently provide their pitch information, and the system automatically determines harmonic compatibility without requiring manual intervention, making the system self-sufficient and efficient.
2Productivity
If existing systems only consider basic matching criteria, then retrieval is simple and fast, but harmonic compatibility is not adequately assessed
Solution Approach 1:
The patent transforms music clips into pitch interval space vectors that capture harmonic information in a computationally efficient format. By changing the representation parameters from raw audio or simple metadata to structured pitch interval vectors, the system enables both fast retrieval and accurate harmonic compatibility assessment simultaneously through vector similarity calculations.
Solution Approach 2:
The system adds a new dimensional representation (pitch interval space) to the traditional music clip attributes. This additional dimension allows the system to assess harmonic compatibility by comparing clips in pitch interval space while maintaining efficiency through vector operations, effectively adding harmonic analysis capability without sacrificing retrieval speed.
3Adaptability or versatility
If the music library size increases to provide more options, then user choice improves, but computational complexity of finding compatible clips increases
Solution Approach 1:
The patent replaces complex computational music analysis with efficient vector operations in pitch interval space. By substituting detailed spectral and temporal analysis with compact vector representations and similarity calculations, the system can handle large music libraries with millions of clips while maintaining low computational complexity through optimized vector search algorithms.
4Stability of the object's composition
If BPM-specific matching is used to ensure rhythmic compatibility, then rhythmic coherence is improved, but clips from different BPMs cannot be mixed
Solution Approach 1:
The patent creates a universal pitch interval space representation that works across different BPMs and keys. The system extracts BPM-agnostic pitch information that captures harmonic relationships independent of tempo, allowing the same compatibility assessment methodology to function universally across diverse musical conditions without requiring BPM-specific processing.
Data Source
AI summary
Scalable similarity-based generation of compatible music mixes. Music clips are projected in a pitch interval space for computing musical compatibility between the clips as distances or similarities in the pitch interval space. The distance or similarity between clips reflects the degree to which clips are harmonically compatible. The distance or similarity in the pitch interval space between a candidate music clip and a partial mix can be used to determine if the candidate music clip is harmonically compatible with the partial mix. An indexable feature space may be both beats-per-minute (BPM)-agnostic and musical key-agnostic such that harmonic compatibility can be quickly determined among potentially millions of music clips. A graphical user interface-based user application allows users to easily discover combinations of clips from a library that result in a perceptually high-quality mix that is highly consonant and pleasant-sounding and reflects the principles of musical harmony.