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» A multi-class MLLR kernel for SVM speaker recognition
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ICASSP
2008
IEEE
13 years 11 months ago
A multi-class MLLR kernel for SVM speaker recognition
Speaker recognition using support vector machines (SVMs) with features derived from generative models has been shown to perform well. Typically, a universal background model (UBM)...
Zahi N. Karam, William M. Campbell
ICASSP
2009
IEEE
13 years 11 months ago
Lattice-based MLLR for speaker recognition
Maximum-Likelihod Linear Regression (MLLR) transform coefficients have shown to be useful features for text-independent speaker recognition systems. These use MLLR coefficients ...
Marc Ferras, Claude Barras, Jean-Luc Gauvain
INTERSPEECH
2010
12 years 11 months ago
Dialect recognition using a phone-GMM-supervector-based SVM kernel
In this paper, we introduce a new approach to dialect recognition which relies on the hypothesis that certain phones are realized differently across dialects. Given a speaker'...
Fadi Biadsy, Julia Hirschberg, Michael Collins
INTERSPEECH
2010
12 years 11 months ago
Combining five acoustic level modeling methods for automatic speaker age and gender recognition
This paper presents a novel automatic speaker age and gender identification approach which combines five different methods at the acoustic level to improve the baseline performanc...
Ming Li, Chi-Sang Jung, Kyu Jeong Han
NIPS
2003
13 years 6 months ago
Phonetic Speaker Recognition with Support Vector Machines
A recent area of significant progress in speaker recognition is the use of high level features—idiolect, phonetic relations, prosody, discourse structure, etc. A speaker not on...
William M. Campbell, Joseph P. Campbell, Douglas A...