Paper ID: 2204.00311

Speaker verification in mismatch training and testing conditions

Marcos Faundez-Zanuy, Adam Slupinski

This paper presents an exhaustive study about the robustness of several parameterizations, with a new database specially acquired for the purpose of a speaker recognition application. This database includes the following variations: different recording sessions (including telephonic and microphonic recordings), recording rooms, and languages (it has been obtained from a bilingual set of speakers). This study has been performed with covariance matrices in a text independent speaker verification application. It reveals that the combination of several parameterizations can improve the robustness in all the scenarios.

Submitted: Apr 1, 2022