Update (October 2026): This is Part 1 of a three-part series. Part 2 re-tests v1 on the clean test set built here. Part 3 reports the finished v2 (43.5% → 31.2% WER) and a bug in my own evaluation. Three things in this post have changed since I wrote it: v2 is trained. It used
I Checked My Own ASR Dataset for Leakage — Here’s What I Found Read More »
User Interface is key for humans to interact with computers. The traditional way is to use keyboard and mouse to browse websites, use apps, or play video games. When it comes to specific applications such as infographics display in a mall or airport often the amount of content will be limitted and simple. In such
User Interface Control Using Hand Gesture Recognition Read More »
Overview Materials science is a field of study that involves the research and discovery of new materials and its functional properties for applications in electronic storage devices, biomedical instrumentation, telecommunication equipment etc. The applications of material science spans from designing of products by exploiting its material properties to the manufacture of products which can contribute
Computational Prediction of Electronegativity Difference with Radius in Perovskites Read More »
This post is a case study on primary or metastasis classifier using deep learning models. Overview Genetics is behind every physiological aspect of a living being such as height, eye color, hair color, etc. Mutations are unwanted changes happening to genetic code for various reasons. The main reasons account for such changes are hereditary, exposure
Primary or Metastasis Classifier Using Deep Learning Read More »
This tutorial walks you through building a breast cancer survivability prediction classifier which use clinical and gene expression data by employing machine learning techniques. Overview Cancer is a disease in which cells in the human body grow uncontrollably. This phenomenon often spreads to other parts of the body. Human bodies contain trillions of cells. Human
Breast Cancer Survival Prediction with Clinical and Gene Expression Data Read More »