essentia.js
Version:
JavaScript library for music/audio analysis and processing, powered by Essentia WebAssembly
61 lines (60 loc) • 1.9 kB
TypeScript
/**
* @license
* Copyright (C) 2006-2020 Music Technology Group - Universitat Pompeu Fabra
*
* This file is part of Essentia
*
* Essentia is free software: you can redistribute it and/or modify it under
* the terms of the GNU Affero General Public License as published by the Free
* Software Foundation (FSF), either version 3 of the License, or (at your
* option) any later version.
*
* This program is distributed in the hope that it will be useful, but WITHOUT
* ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
* FOR A PARTICULAR PURPOSE. See the GNU General Public License for more
* details.
*
* You should have received a copy of the Affero GNU General Public License
* version 3 along with this program. If not, see http://www.gnu.org/licenses/
*/
/**
* Generic output feature type computed by the `EssentiaTFInputExtractor.compute` method.
* @type
*/
declare type EssentiaTFInputExtractorOutput = {
melSpectrum: Float32Array | any[];
patchSize: number;
frameSize: number;
melBandsSize: number;
};
/**
* Custom input feature type accpeted by `TensorflowMusiCNN.predict` method
* @type
*/
declare type InputMusiCNN = {
melSpectrum: Float32Array | any[];
patchSize: 187;
frameSize: any;
melBandsSize: 96;
};
/**
* Custom input feature type accpeted by `TensorflowVGGish.predict` method
* @type
*/
declare type InputVGGish = {
melSpectrum: Float32Array | any[];
patchSize: 96;
frameSize: any;
melBandsSize: 64;
};
/**
* Custom input feature type accpeted by `TensorflowTempoCNN.predict` method
* @type
*/
declare type InputTempoCNN = {
melSpectrum: Float32Array | any[];
patchSize: 256;
frameSize: any;
melBandsSize: 40;
};
export { InputMusiCNN, InputVGGish, InputTempoCNN, EssentiaTFInputExtractorOutput };