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Spectral rolloff — frequency below which \`p\` of total spectral energy lies (default 85%).

Spectral features — umbrella for @audio/spectral-* atoms (centroid, spread, flatness, rolloff, flux, slope, crest, zcr)

Tape saturation — tanh transfer + playback HF rolloff (simplified machine model)

Pre-emphasis / de-emphasis filter

Generate structured, deterministic color palettes from a small set of inputs. Ramps, semantic tokens, and optional palette variants.

IEC 61672-1:2013 C-weighting: H(s) = K·s² / ((s+w1)²(s+w4)²)

IEC 537 D-weighting filter — aircraft-noise frequency response (resonant hump near 4 kHz)

High-fidelity AI audio forensics and spectral anomaly detection (Phase Entropy, 16kHz cutoffs, Cepstral Vocoder check)

Production-grade Expo native module wrapping loqa-voice-dsp for audio DSP analysis (FFT, pitch detection, formants, HNR, H1-H2)

Cabinet simulation — measured-IR convolution (pair with @audio/measure-ir) or classical speaker-sim biquads

Comprehensive audio feature extraction library for signal analysis, visualization, and processing.

Production-grade Expo native module for audio DSP analysis (FFT, pitch detection, formant extraction, spectral analysis)

Oscillator AudioNode source extended with automatable amplitude and midi note params.

Real-time audio feature extraction for the browser using WebAssembly. Extract BPM, beats, frequency bands, and spectral features from audio streams.

A comprehensive JavaScript/TypeScript library for audio feature extraction, designed for machine learning applications and voice AI systems

Calculation of sound parameters

Digital signal processing: Fourier analysis, convolution, filtering and window functions over uniformly sampled sequences.