Signal Processing Commons^™

Speaker Recognition In Adverse Conditions, Ananth N. Iyer, Uchechukwu O. Ofoegbu, Robert E. Yantorno, Stanley J. Wenndt

Ananth N Iyer

Recognizing speakers from their voices is a challenging area of research with several practical applications. Presently speaker verification (SV) systems achieve a high level of accuracy under ideal conditions such as, when there is ample data to build speaker models and when speaker verification is performed in the presence of little or no interference. In general, these systems assume that the features extracted from the data follow a particular parametric probability density function (pdf), i.e., Gaussian or a mixture of Gaussians; where a form of the pdf is imposed on the speech data rather than determining the underlying structure of …