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 :
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