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» Subspace Gaussian Mixture Models for speech recognition
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CISS
2008
IEEE
15 years 4 months ago
Unsupervised distributional anomaly detection for a self-diagnostic speech activity detector
— One feature that classification algorithms typically lack is the ability to know what they do not know. With this knowledge an algorithm would be able to operate in any domain...
Nash M. Borges, Gerard G. L. Meyer
CLEAR
2007
Springer
144views Biometrics» more  CLEAR 2007»
15 years 3 months ago
The SRI-ICSI Spring 2007 Meeting and Lecture Recognition System
We describe the latest version of the SRI-ICSI meeting and lecture recognition system, as was used in the NIST RT-07 evaluations, highlighting improvements made over the last year....
Andreas Stolcke, Xavier Anguera, Kofi Boakye, &Oum...
IVC
2008
141views more  IVC 2008»
14 years 9 months ago
Segmentation of color images via reversible jump MCMC sampling
Reversible jump Markov chain Monte Carlo (RJMCMC) is a recent method which makes it possible to construct reversible Markov chain samplers that jump between parameter subspaces of...
Zoltan Kato
TASLP
2008
105views more  TASLP 2008»
14 years 9 months ago
Optimizing the Performance of Spoken Language Recognition With Discriminative Training
The performance of spoken language recognition system is typically formulated to reflect the detection cost and the strategic decision points along the detection-error-tradeoff cur...
Donglai Zhu, Haizhou Li, Bin Ma, Chin-Hui Lee
70
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EMNLP
2007
14 years 11 months ago
Learning Structured Models for Phone Recognition
We present a maximally streamlined approach to learning HMM-based acoustic models for automatic speech recognition. In our approach, an initial monophone HMM is iteratively refin...
Slav Petrov, Adam Pauls, Dan Klein