This repo contains my attempt to create a Speaker Recognition and Verification system using SideKit-1.3.1
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Updated
May 22, 2019 - Python
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
Develop speaker recognition model based on i-vector using TIMIT database
Voxceleb1 i-vector based speaker recognition system
Dialect identification using Siamese network
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.
We extract the x-vector and i-vector of five Kurdish Dialects and use these vectors to recognition Kurdish dialects.
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