iFLY system for the NIST 2008 speaker recognition evaluation

Author

Guo, Wu ; Long, Yanhua ; Li, Yijie ; Pan, Lei ; Wang, Eryu ; Dai, Lirong

Author_Institution

MOE-Microsoft Key Lab. of Multimedia Comput. & Commun., Univ. of Sci. & Technol. of China (USTC)

fYear

2009

fDate

19-24 April 2009

Firstpage

4209

Lastpage

4212

Abstract

The description of iFLY system submitted for NIST 2008 speaker recognition evaluation (SRE), which has achieved excellent performance in the 2008 SRE evaluation, is presented in this paper. Our primary system is a fusion of two subsystems GMM-UBM and GMM-SVM. For each sub-system, two kinds of short-time acoustic features PLP and LPCC are adopted. We focus on three key issues in this evaluation: channel compensation, multi-lingual or bi-lingual cues and the voice activity detection. We also point out that data selection and factor analysis play key roles in the system improvement.

Keywords

Gaussian processes; acoustic signal processing; speaker recognition; support vector machines; GMM-SVM; GMM-UBM; LPCC; PLP; iFLY system; short-time acoustic features; speaker recognition evaluation; Feature extraction; Frequency modulation; Laboratories; Microphones; NIST; Noise reduction; Speaker recognition; Speech analysis; Telephony; Testing; GMM; NAP; joint factor analysis; speaker verification;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on

Conference_Location

Taipei

ISSN

1520-6149

Print_ISBN

978-1-4244-2353-8

Electronic_ISBN

1520-6149

Type

conf

DOI

10.1109/ICASSP.2009.4960557

Filename

4960557