SPECTRAL PROCESSOR

TECHNICAL SPECIFICATIONS

FFT SIZE

512 - 8192 points

OVERLAP

50% - 95% configurable

WINDOW FUNCTIONS

Hann, Hamming, Blackman, Kaiser

FREQUENCY BINS

Up to 4096 bins

PROCESSING

Real-time 32-bit float

LATENCY

Adjustable 10-200ms

SPECTRAL PROCESSING MODES

SPECTRAL FILTER

Precise frequency filtering using FFT bin manipulation with linear phase response

FREQUENCY SHIFT

Shift entire spectrum up/down without changing pitch relationships

SPECTRAL GATE

Threshold-based gating of frequency bins for noise reduction

HARMONIC ENHANCE

Enhance or suppress harmonic content while preserving fundamentals

SPECTRAL FREEZE

Capture and hold spectral snapshots for infinite sustain effects

MAGNITUDE WARP

Non-linear magnitude scaling for dynamic spectral shaping

PHASE VOCODER

Independent time and pitch manipulation through phase reconstruction

SPECTRAL BLUR

Smooth spectral transitions by blurring frequency bin boundaries

ADVANCED FEATURES

📊

Real-time spectral analysis with high-resolution frequency display

🔬

Precision frequency bin manipulation for surgical processing

⚡

Optimized FFT algorithms for minimal CPU usage and latency

🎛️

Morphing between different spectral processing modes

🌊

Multiple windowing functions for different analysis characteristics

🔄

Perfect reconstruction with overlap-add synthesis

USAGE EXAMPLES

SPECTRAL FILTERING

Precise frequency filtering using FFT analysis for surgical sound design

MODE Spectral Filter

FFT SIZE 2048

CUTOFF 1000 Hz

ROLLOFF 24 dB/oct

FREQUENCY SHIFTING

Shift entire spectrum for inharmonic effects and sound design

MODE Frequency Shift

SHIFT AMOUNT +50 Hz

OVERLAP 75%

WINDOW Hann

SPECTRAL GATING

Threshold-based noise reduction preserving important frequency content

MODE Spectral Gate

THRESHOLD -40 dB

ATTACK 5 ms

RELEASE 50 ms

HARMONIC ENHANCEMENT

Enhance or suppress harmonic content for timbre modification

MODE Harmonic Enhance

ENHANCE +6 dB

FUNDAMENTAL Preserve

HARMONICS 2-8

SPECTRAL PROCESSING MASTERY

01

Larger FFT sizes provide better frequency resolution but increase latency

02

Use higher overlap ratios for smoother processing but increased CPU usage

03

Hann window provides good balance of frequency resolution and side-lobe suppression

04

Spectral gating works best with consistent noise floors and clear signal separation

05

Frequency shifting creates inharmonic effects that can enhance or destroy musicality

06

Monitor phase coherence when using multiple spectral processors in series

07

Spectral freeze creates interesting textures but can build up over time

08

Use spectral blur for smooth transitions between different processing states

09

Combine with other processors for complex frequency domain transformations

10

Adjust buffer sizes based on your system's capabilities and latency requirements