This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. Cross-lingual Subspace Gaussian Mixture Models for Low-reso - Subspace Gaussian Mixture Model - Document - PDFSEARCH.IO

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	This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. Cross-lingual Subspace Gaussian Mixture Models for Low-reso Add to Reading List Document Date: 2013-10-07 08:11:17 Open Document File Size: 953,44 KB Share Result on Facebook Company M and S / MTi / / / Facility University of Edinburgh / / IndustryTerm neural networks / closed form solution / vocabulary continuous speech recognition systems / language-independent speech recognition systems / language systems / bank / numerical stable algorithm / monolingual systems / source language systems / stable algorithm / / Organization European Union / University of Edinburgh / / Person Steve Renals / Arnab Ghoshal / Liang Lu / / Position RT / monolingual and cross-lingual speaker / speaker / cross-lingual speaker / / ProgrammingLanguage ML / / Technology Natural Speech Technology / Speech Recognition / speech recognition system / numerically stable algorithm / Baum-Welch algorithm / numerical stable algorithm / / SocialTag Markov models Regression analysis Automatic identification and data capture Speech recognition Hidden Markov model Mixture model Linear regression Maximum likelihood Conjugate prior Statistics

This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. Cross-lingual Subspace Gaussian Mixture Models for Low-resoAdd to Reading List