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» Higher-Level Features in Speaker Recognition
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ICASSP
2011
IEEE
12 years 10 months ago
Parallel Transformation Network features for speaker recognition
The use of speaker adaptation transforms as features for speaker recognition is an appealing alternative to conventional short-term cepstral features. In general, this kind of met...
Alberto Abad, Jordi Luque, Isabel Trancoso
INTERSPEECH
2010
13 years 1 months ago
On the potential of glottal signatures for speaker recognition
Most of current speaker recognition systems are based on features extracted from the magnitude spectrum of speech. However the excitation signal produced by the glottis is expecte...
Thomas Drugman, Thierry Dutoit
NOLISP
2005
Springer
13 years 12 months ago
MLP Internal Representation as Discriminative Features for Improved Speaker Recognition
Feature projection by non-linear discriminant analysis (NLDA) can substantially increase classification performance. In automatic speech recognition (ASR) the projection provided b...
Dalei Wu, Andrew C. Morris, Jacques C. Koreman
NAACL
2007
13 years 7 months ago
On using Articulatory Features for Discriminative Speaker Adaptation
This paper presents a way to perform speaker adaptation for automatic speech recognition using the stream weights in a multi-stream setup, which included acoustic models for “Ar...
Florian Metze
ICASSP
2011
IEEE
12 years 10 months ago
Using clustering comparison measures for speaker recognition
Recent results seem to cast some doubt over the assumption that improvements in fused recognition accuracy for speaker recognition systems based on different acoustic features are...
Jia Min Karen Kua, Julien Epps, Mohaddeseh Nosrati...