120 search results - page 2 / 24 » Discriminant binary data representation for speaker recognit... |
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
The concept of speaker recognition using i-vectors was recently introduced offering state-of-the-art performance. An i-vector is a compact representation of a speaker’s utteranc...
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
—Discriminative Training (DT) methods for acoustic modeling, such as MMI, MCE, and SVM, have been proved effective in speaker recognition. In this paper we propose a DT method fo...
NOLISP
2005
Springer
13 years 10 months ago
2005
Springer
The best performing systems in the area of automatic speaker recognition have focused on using short-term, low-level acoustic information, such as sepstral features. Recently, vari...
ICASSP
2008
IEEE
13 years 11 months ago
2008
IEEE
Missing data techniques have been recently applied to speaker recognition to increase performance in noisy environments. The drawback of these techniques is the vulnerability of t...
ICCV
2005
IEEE
13 years 10 months ago
2005
IEEE
For years, researchers in face recognition area have been representing and recognizing faces based on subspace discriminant analysis or statistical learning. Nevertheless, these a...