An advanced channel compensation method for speaker recognition

Author

Imamverdiyev, Yadigar ; Sukhostat, Lyudmila

Author_Institution

Inst. of Inf. Technol., Baku, Azerbaijan

fYear

2013

fDate

23-25 Oct. 2013

Firstpage

1

Lastpage

4

Abstract

This paper discusses various methods for channel compensation to effectively reduce errors in speech data transmitted through different channels in order to increase the accuracy of speaker recognition system. The aim of this paper is to analyze and evaluate the channel distortions and noise effects on speech. Methods used for channel equalization and compensation in order to improve the efficiency of speaker verification and identification systems over various communication channels are described. A scalable approach for probabilistic linear discriminant analysis for speaker recognition is presented.

Keywords

channel estimation; distortion; probability; speaker recognition; advanced channel compensation method; channel distortions; channel equalization; communication channels; identification systems; noise effects; probabilistic linear discriminant analysis; speaker recognition; speaker verification; speech data; Acoustic distortion; Acoustics; Speaker recognition; Speech; Speech processing; Speech recognition; Training; Speaker recognition; channel compensation; i-vector; probabilistic linear discriminant analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Application of Information and Communication Technologies (AICT), 2013 7th International Conference on

Conference_Location

Baku

Print_ISBN

978-1-4673-6419-5

Type

conf

DOI

10.1109/ICAICT.2013.6722705

Filename

6722705