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» Higher-Level Features in Speaker Recognition
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ICBA
2004
Springer
197views Biometrics» more  ICBA 2004»
14 years 3 months ago
Maximum Likelihood and Maximum a Posteriori Adaptation for Distributed Speaker Recognition Systems
We apply the ETSI’s DSR standard to speaker verification over telephone networks and investigate the effect of extracting spectral features from different stages of the ETSI...
Chin-Hung Sit, Man-Wai Mak, Sun-Yuan Kung
ICDAR
2009
IEEE
14 years 4 months ago
A Novel Feature Extraction and Classification Methodology for the Recognition of Historical Documents
In this paper, we present a methodology for off-line character recognition that mainly focuses on handling the difficult cases of historical fonts and styles. The proposed methodo...
Georgios Vamvakas, Basilios Gatos, Stavros J. Pera...
SAC
2010
ACM
13 years 10 months ago
Visual processing-inspired fern-audio features for noise-robust speaker verification
In this paper, we consider the problem of speaker verification as a two-class object detection problem in computer vision, where the object instances are 1-D short-time spectral v...
Anindya Roy, Sébastien Marcel
ICB
2009
Springer
141views Biometrics» more  ICB 2009»
14 years 4 months ago
Towards Structured Approaches to Arbitrary Data Selection and Performance Prediction for Speaker Recognition
We developed measures relating feature vector distributions to speaker recognition (SR) performances for performance prediction and potential arbitrary data selection for SR. We ex...
Howard Lei
ICASSP
2009
IEEE
13 years 7 months ago
High improvement of speaker identification and verification by combining MFCC and phase information
In conventional speaker recognition methods based on MFCC, phase information has been ignored. We proposed a method that integrated the phase information with MFCC on a speaker id...
Longbiao Wang, Shinji Ohtsuka, Seiichi Nakagawa