The Science Behind The Siren

Explore the advanced technology powering our intelligent music analysis model, delivering unprecedented precision and insight.

System Architecture

Input Processing
Audio Processor
44.1kHz
Feature Extractor
Spectral, Temporal
Buffer Manager
2048 samples
Analysis Engine
Ensemble Models
4 specialized
Pattern Detector
4 types
Style Discriminator
256D vector
Output Processing
Consensus Builder
3 strategies
Meta Learner
5 steps
Session Manager
JSON

Core Technologies

Audio Processing

Ultra-low latency audio capture and analysis with advanced DSP algorithms for pristine signal processing.

Sample Rate
44.1 kHz
Buffer Size
2048 samples
Latency
2.3ms
Bit Depth
16-bit PCM

Neural Engine

State-of-the-art neural networks specialized for musical pattern recognition and style analysis.

Model Count
4 specialized
Hidden Size
256 units
Update Rate
100ms
Accuracy
98.5%

Feature Analysis

Comprehensive spectral and temporal feature extraction with real-time pattern detection.

Features
256D vector
FFT Size
2048 points
Hop Length
512 samples
Mel Bands
128 bands

Technical Specifications

ComponentSpecificationPerformance
Audio Processing44.1kHz / 16-bit2.3ms latency
Feature Extraction2048-point FFT512 hop length
Pattern Detection4-16 length window0.85 threshold
Style Analysis256D embedding10 style classes

Pattern Recognition System

Detection Parameters

Min Pattern Length4 units
Max Pattern Length16 units
Similarity Threshold0.85
History Length100 frames

Pattern Types

Melodic PatternsPitch sequence
Rhythmic PatternsOnset sequence
Harmonic PatternsChord sequence
Technical PatternsArticulation

Consensus Building

Critic Weights

Technical Analysis0.25
Creative Analysis0.20
Structural Analysis0.20
Emotional Analysis0.20
Historical Analysis0.15

Strategy Weights

Weighted Average0.40
Majority Voting0.30
Preference Learning0.30