DocumentCode
134347
Title
Improved multitaper PNCC feature for robust speaker verification
Author
Yi Liu ; Liang He ; Jia Liu
Author_Institution
Dept. of Electron. Eng., Tsinghua Univ., Beijing, China
fYear
2014
fDate
12-14 Sept. 2014
Firstpage
168
Lastpage
172
Abstract
A major challenge for practical speaker verification is the significant performance degradation in noisy circumstances. To solve the problem, a novel feature is proposed in this paper based on power normalized cepstral coefficients (PNCC). In the new feature, multitaper method and compressive gammachirp filter-bank (cGCFB) are introduced. Multitaper method provides a better spectrum estimation while cGCFB makes the sub-band power integration more robust. The experiments shows that with a suitable configuration, the improved multitaper PNCC (imPNCC) outperforms the original PNCC under both clean and noisy conditions, and achieves the best overall results on NIST 2008 and 2010 SRE database compared to PLP and PNCC.
Keywords
cepstral analysis; channel bank filters; speaker recognition; SRE database; cGCFB; compressive gammachirp filter-bank; imPNCC; improved multitaper PNCC feature; noisy conditions; power normalized cepstral coefficients; robust speaker verification; spectrum estimation; subband power integration; Databases; Estimation; Feature extraction; NIST; Noise; Robustness; Speech; Robust feature; compressive gammachirp filter-bank; imPNCC; multitaper method; speaker verification;
fLanguage
English
Publisher
ieee
Conference_Titel
Chinese Spoken Language Processing (ISCSLP), 2014 9th International Symposium on
Conference_Location
Singapore
Type
conf
DOI
10.1109/ISCSLP.2014.6936721
Filename
6936721
Link To Document