EssentiaTensorflowJSModel

Methods

---

<async> initialize()

Description

Promise for loading & initialise an Essentia.js-TensorFlow.js model.

Details

Source

machinelearning/tfjs_models.js, line 98

---

arrayToTensorAsBatches( inputFeatureArray, inputShape, patchSize [, zeroPadding ] ) → {tf.Tensor3D}

Description

Converts an input 1D or 2D array into a 3D tensor (tfjs) given it's shape and required patchSize. If padding=true, this method will zero-pad the input feature.

Parameters

Name	Type	Attributes	Default	Description
inputFeatureArray	Float32Array | Array.<any>			input feature array as either 1D or 2D array
inputShape	Array.<any>			shape of the input feature array in 2D.
patchSize	number			required patchSize to dynamically make batches of feature
zeroPadding	boolean	<optional>	false	whether to enable zero-padding if less frames found for a batch.

Returns

tf.Tensor3D

returns the computed frame-wise feature for the given audio signal.

Details

Source

machinelearning/tfjs_models.js, line 126