Core Pattern Types
Consonant Clustering
Analyzes recursive structures like "belocococ" where consonant groups follow a (C)(oC)*n pattern.
Vowel Expansion
Examines vowel sequences following algorithmic rules like "aiiaiai" with Fibonacci-length spacing.
Hybrid Sequencing
Combines both algorithms to create complex phonetic signatures like "elen[ebeloco][cociaiiai]".
Phonetic Resonance
Studies how these patterns interact with human vocal tract mechanics and auditory perception.
Pattern Visualization
Algorithmic Generation
baseClusters = ['el', 'ne', 'be', 'lo', 'co', 'ci', 'ai', 'ia', 'ei'];
vowelRules = [ 'ai' ā 'iai', 'ia' ā 'aiia', 'ei' ā 'ei' + generatePattern() ];
baseSequences = [];
for (let i = 0; i < recursiveLimit; i++) {
baseSequences.push(randomChoice(baseClusters));
if (Math.random() < 0.3) baseSequences.push(vowelRules[...]);
}
return baseSequences.join('-');
}
Live Pattern
Research Insights
Phonetic Resonance
Patterns with 3-5 phoneme clusters show highest resonance with human vocal tracts.
Cluster Dynamics
Consonant clusters reach maximum complexity at 7-8 letters before breaking into sub-clusters.
Pattern Longevity
Patterns show exponential decay in cognitive retention after 11-14 phonemes.