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» Subspace Gaussian Mixture Models for speech recognition
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83
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ICASSP
2009
IEEE
15 years 4 months ago
Interpolating hidden Markov model and its application to automatic instrument recognition
This paper proposes an interpolating extension to hidden Markov models (HMMs), which allows more accurate modeling of natural sounds sources. The model is able to produce observat...
Tuomas Virtanen, Toni Heittola
ICASSP
2008
IEEE
15 years 4 months ago
Towards the use of full covariance models for missing data speaker recognition
This work investigates the use of missing data techniques for noise robust speaker identification. Most previous work in this field relies on the diagonal covariance assumption ...
Marco Kühne, Daniel Pullella, Roberto Togneri...
JDCTA
2010
144views more  JDCTA 2010»
14 years 4 months ago
Research on SVDD Applied in Speaker Verification
In tradition probability statistics model, speaker verification threshold is instability in different test situations. A novel speaker verification method based on Support Vector ...
Yuhuan Zhou, Xiongwei Zhang, Jinming Wang, Yong Go...
80
Voted
TASLP
2010
106views more  TASLP 2010»
14 years 4 months ago
Efficient and Robust Music Identification With Weighted Finite-State Transducers
We present an approach to music identification based on weighted finite-state transducers and Gaussian mixture models, inspired by techniques used in large-vocabulary speech recogn...
Mehryar Mohri, Pedro Moreno, Eugene Weinstein
ICASSP
2008
IEEE
15 years 4 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