Introduction GMM vs K-Means First, we’ll have to understand what are hard decisions and soft decisions . Hard Decision A data point is clustered to a single cluster and the results are final. Soft Decision A data point is modeled by a distribution of clusters, thus it will be probabilistically defined and there’s no definite […]Read more "GMM-Based Speaker Recognition"
Introduction There’re 3 major methods on working with classification: Discriminant Function Probabilistic Generative Model Probabilistic Discriminative Model The first method is brute-force method which is what neural networks uses. It consist of least square classification, Fisher’s linear discriminant and perceptron algorithm. Our focus will be on the following 2 models which involves a probabilistic viewpoint. […]Read more "Linear Models for Classification"
As the title, there’re several ways on extracting important information from speech signals. We’ll dive into all of them. All speech signals will be pre-emphasized by a pre-emphasis filter of As we know, the whole process of LPC coefficient extraction can be divided into the following stages: source: https://www.mathworks.com/help/dsp/examples/lpc-analysis-and-synthesis-of-speech.html First, we would like to find […]Read more "LPC & Cepstrum & MFCC"
Wiener filter is a filter used to remove degradation from a image without being affected by noise that’s present in the image. If wiener filter is not used, and the image is restored just by dividing the frequency domain of an image by the frequency domain of the future, the image will be badly corrupted […]Read more "Wiener Filter"
In this discussion, we’re trying to reduce noise in the image and in the same time sharpen our image. The image that we’ll be using will look this: As we can see, some important details of the image is actually dark. What we want to do is first make the shady portion of the image […]Read more "Noise Cancellation and Sharpening"
Introduction White balance is used to remove unrealistic colour casts caused by different light source. It’s easy for human eyes to adjust what we see according to the light source of the current environment but it’s hard for the camera to adjust according to the lighting condition of the room. Sometimes, we refer that as […]Read more "Image White Balance"
Introduction There’re a few ways to analyze an image. Few of them are CIE LUV, CIE LAB and converting them to HSI, HSV, HSL, etc. CIE LUV and CIE LAB are similar for the case of “L” which is responsible for Lightness of an image. A and B (U and V) are responsible for red/green opponent […]Read more "Image Transformation based on HSI"