This repo contains my attempt to create a Speaker Recognition and Verification system using SideKit-1.3.1

End to End Dialect Identification using Convolutional Neural Network

Voxceleb1 i-vector based speaker recognition system

Develop speaker recognition model based on i-vector using TIMIT database

Dialect identification using Siamese network

We extract the x-vector and i-vector of five Kurdish Dialects and use these vectors to recognition Kurdish dialects.

Language identification using Siamese network based on i-vector

Subspace multinomial model for learning document representations

SVM model using i-vector

This is a speaker verification system uses Total Variability and Projection Matrix. Intersession variability was compensated by using backend procedures, such as linear discriminant analysis (LDA) and within-class covariance normalization (WCCN), followed by a scoring, the cosine similarity score. In literature this approach named i-vectors.