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» Speaker Verification Using A Novel Set of Dynamic Features
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ICPR
2006
IEEE
14 years 6 months ago
Speaker Verification Using A Novel Set of Dynamic Features
Dynamic cepstral features such as delta and deltadelta cepstra have been shown to play an essential role in capturing the transitional characteristics of the speech signal. In thi...
Eliathamby Ambikairajah, Julien Epps, Mohaddeseh N...
ICASSP
2010
IEEE
13 years 5 months ago
Boosted binary features for noise-robust speaker verification
The standard approach to speaker verification is to extract cepstral features from the speech spectrum and model them by generative or discriminative techniques. We propose a nov...
Anindya Roy, Mathew Magimai-Doss, Sébastien...
ICPR
2010
IEEE
13 years 2 months ago
Information Theoretic Expectation Maximization Based Gaussian Mixture Modeling for Speaker Verification
The expectation maximization (EM) algorithm is widely used in the Gaussian mixture model (GMM) as the state-of-art statistical modeling technique. Like the classical EM method, th...
Sheeraz Memon, Margaret Lech, Namunu Chinthaka Mad...
ICASSP
2008
IEEE
13 years 11 months ago
Robust speaker identification using auditory features and computational auditory scene analysis
The performance of speaker recognition systems drop significantly under noisy conditions. To improve robustness, we have recently proposed novel auditory features and a robust spe...
Yang Shao, DeLiang Wang
ICASSP
2008
IEEE
13 years 11 months ago
Mutual features for robust identification and verification
Noisy or distorted video/audio training sets represent constant challenges in automated identification and verification tasks. We propose the method of Mutual Interdependence An...
Heiko Claussen, Justinian Rosca, Robert I. Damper