Generalized Variability Model for Speaker Verification
Generalized Variability Model for Speaker Verification is a scholarly work, published in 2018 in ''IEEE Signal Processing Letters''. The main subjects of the publication include statistical machine translation, mixture model, speaker recognition, artificial intelligence, latent variable, computer science, Speech enhancement, NIST, speech recognition, glossary of archaeology, mathematics, pattern recognition, Generalized normal distribution, and algorithm. In this letter, authors propose a generalized variability model as an extension to the total variability model.