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Tooling and datasets for neural-network powered audio feature based synthesis

Shell 0.01% Python 84.33% C 3.03% C++ 11.00% HTML 0.38% CSS 0.02% Fortran 0.03% Makefile 0.23% MATLAB 0.01% Cuda 0.69% JavaScript 0.26%
audio-feature-based-synthesis synthesizer neural-network audio-feature-extraction web-audio web-audio-api

feature-synthesis's Introduction

Feature Based Extraction Dataset Descriptions

Synth 1

A subsynth of the form [sawtooth, triangle, square] => [gain1, gain2, gain3] => lowpassfilter, with the parameters [gain1,gain2,gain3] and output ['rms'];

Datasets

  • s1: rms, each of the gains described above

Synth 2

A more fully featured subsynth. 6 oscillators, just a double of the above, exposing parameters for the filter (q and frequency), as well as detune params on 3 of the oscillators

Datasets

  • s2: Feature data includes [rms, spectral centroid, spectral rolloff], plus the normalised parameter values
  • s5: Same as above, but s/rolloff/flatness.

Synth 3

An FM synth, exposing parameters for the volume of each oscillator. Has a carrier, a modulator, and a higher order modulator.

Datasets

  • s3: Feature data includes [rms, spectral centroid, spectral rolloff] (may be broken).
  • s4: An attempt to fix s3. Also currently broken.

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