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ICASSP
2011
IEEE
13 years 3 months ago
Exploring implicit score normalization techniques in speaker verification
In this paper we first introduce four kinds of modification of Symmetric Scoring [1] which produce likelihood ratios that do not need to be explicitly normalized, i.e. T-norm, Z...
Ce Zhang, Rong Zheng, Bo Xu
PAMI
2010
225views more  PAMI 2010»
13 years 9 months ago
The Biometric Menagerie
The problem of biometric menagerie, first pointed out by Doddington et al. (1998), is one that plagues all biometric systems. They observe that only a handful of clients (enrolle...
Neil Yager, Ted Dunstone
ICASSP
2010
IEEE
13 years 11 months ago
On the use of speaker superfactors for speaker recognition
We propose a new method to characterize a speaker within the Joint Factor Analysis (JFA) framework. Scoring within the JFA framework can be costly and a new method was proposed to...
Nicolas Scheffer, Robbie Vogt
AIRS
2006
Springer
14 years 3 months ago
Evaluating Score Normalization Methods in Data Fusion
In data fusion, score normalization is a step to make scores, which are obtained from different component systems for all documents, comparable to each other. It is an indispensabl...
Shengli Wu, Fabio Crestani, Yaxin Bi
IWBRS
2005
Springer
134views Biometrics» more  IWBRS 2005»
14 years 5 months ago
Using Score Normalization to Solve the Score Variation Problem in Face Authentication
Abstract. This paper investigates the score normalization technique for enhancing the performance of face authentication. We firstly discuss the thresholding approach for face auth...
Fei Yang, Shiguang Shan, Bingpeng Ma, Xilin Chen, ...
ICASSP
2008
IEEE
14 years 5 months ago
Adaptive score normalization for progressive model adaptation in text independent speaker verification
This paper deals with the interaction between progressive model adaptation and score normalization strategies which are used for reducing the variation in likelihood ratio scores ...
Shou-Chun Yin, Richard Rose, Patrick Kenny
CIKM
2009
Springer
14 years 6 months ago
A signal-to-noise approach to score normalization
Score normalization is indispensable in distributed retrieval and fusion or meta-search where merging of result-lists is required. Distributional approaches to score normalization...
Avi T. Arampatzis, Jaap Kamps