Category: Gaussian Mixture Model
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The Machine Learning “Advent Calendar” Day 5: GMM in Excel
The Machine Learning “Advent Calendar” Day 5: GMM in Excel This article introduces the Gaussian Mixture Model as a natural extension of k-Means, by improving how distance is measured through variances and the Mahalanobis distance. Instead of assigning points to clusters with hard boundaries, GMM uses probabilities learned through the Expectation–Maximization algorithm – the general…
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The Method of Moments Estimator for Gaussian Mixture Models
The Method of Moments Estimator for Gaussian Mixture Models Audio Processing is one of the most important application domains of digital signal processing (DSP) and machine learning. Modeling acoustic environments is an essential step in developing digital audio processing systems such as: speech recognition, speech enhancement, acoustic echo cancellation, etc. Acoustic environments are filled with background…