Learn

This section hosts a variety of articles, tutorials and explanations of concepts and workflows that integrate with the FluCoMa tools and the wider gamut of machine learning and machine listening technologies.

2D Corpus Exploring

tutorial

A video tutorial guiding that teaches you how to build a two-dimensional corpus exploration patch in Max.

Batch Processing with FluCoMa

article

Batch processing corpora with the Fluid Corpus Manipulation toolkit.

Audio Decomposition using BufNMF

article

Decompose an audio buffer into component parts using non-negative matrix factorisation.

Classifying Sounds Using a Neural Network

tutorial

This video tutorial guides you through building a flexible sound classifier.

Comparing Scalers

tutorial

Normalize, Standardize, & RobustScale

Decomposition Overview

tutorial

A quick overview of the decomposition tools in the FluCoMa toolkit.

Distribution and Histograms

tutorial

Histograms, distribution functions, and the normal distribution

For Pedagogues

article

A resource for pedagogues wanting to teach FluCoMa

Fourier Transform

article

Commonly used spectral analysis method

Get Started

article

Some suggestions for getting started exploring FluCoMa

Median Filters

article

A small overview for how median filters work.

Neural Network Parameters

article

A guide on using the parameters of and MLP.

Neural Network Training

article

An overview of how neural networks learn.

Outliers

tutorial

Some thinking about outliers and how to manage them.

Refining Pitch Analysis

tutorial

Using statistics to refine the analysis of pitch content.

Controlling a Synth using a Neural Network

tutorial

Video tutorial introducing the FluidMLPRegressor neural network.

Removing Outliers with BufStats

tutorial

Prevent outliers from negatively impacting BufStats' statistical summary.

Seeding BufNMF with Bases and Activations

article

Initialize non-negative matrix factorization with seeded elements.

Smoothing Data

tutorial

Bundling time by smoothing windows of data.

Dealing with Time

tutorial

Strategies for encoding and explaining time to a computer.

Training and Testing Data

article

Determine if a neural network is overfit by reserving some testing data

Weighting Stats

tutorial

Apply weights to BufStats

Why Scale? Distance as Similarity

tutorial

The affects of scaling on measures of similarity