Evaluation of the Vocal Tract Length Normalization Based Classifiers for Speaker Verification

This paper proposes and evaluates classifiers based on Vocal Tract Length Normalization (VTLN) in a text-dependent speaker verification (SV) task with short testing utterances. This type of tasks is important in commercial applications and is not easily addressed with methods designed for long utter...

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Bibliographic Details
Main Authors: Walid Hussein, Sarah Akram Essmat, Nestor Yoma, Fernando Huenupán
Format: Article
Language:English
Published: International Association of Online Engineering (IAOE) 2016-12-01
Series:International Journal of Recent Contributions from Engineering, Science & IT
Online Access:http://online-journals.org/index.php/i-jes/article/view/6544