Overview of Speech Recognition Technology

Written by | Sensor Technology Speech is the most natural form of interaction for humans. After the invention of computers, enabling machines to “understand” human language, comprehend the inherent meanings within language, and provide correct responses became a goal pursued by many. We all hope for intelligent and advanced robotic assistants like those in science … Read more

Gaussian Mixture Models: Theory and Implementation of GMM and EM Algorithm

Gaussian Mixture Models: Theory and Implementation of GMM and EM Algorithm

Source: DeepHub IMBA This article is about 6000 words long and is recommended to be read in 10+ minutes. This article will first explore mixture models, focusing on Gaussian mixture models and their fundamental principles. Gaussian Mixture Model (GMM) is a statistical model that represents data as a mixture of Gaussian (normal) distributions. These models … Read more

Comprehensive Explanation of Gaussian Mixture Model (GMM)

Comprehensive Explanation of Gaussian Mixture Model (GMM)

Hello everyone~ Today we are going to talk about a probabilistic model – Gaussian Mixture Model (GMM). Gaussian Mixture Model is like a complex fuzzy grouping mechanism, believing that a dataset is actually composed of multiple “small groups,” where things within each “small group” are roughly distributed according to a bell curve (Gaussian distribution). You … Read more

Implementing Gaussian Mixture Model Classifier with Pytorch

Implementing Gaussian Mixture Model Classifier with Pytorch

Source: DeepHub IMBA This article is about 4300 words long and takes approximately 12 minutes to read. This is an attempt to build a Gaussian Mixture Model (GMM) classifier using Pytorch. We will build the Gaussian Mixture Model (GMM) from scratch. This will give us a basic understanding of the GMM, and this article will … Read more