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FMLLR
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#	Item
1	SAT-LHUC: SPEAKER ADAPTIVE TRAINING FOR LEARNING HIDDEN UNIT CONTRIBUTIONS Pawel Swietojanski and Steve Renals The Centre for Speech Technology Research, University of Edinburgh {p.swietojanski, s.renals}@ed.ac.uk Add to Reading List Source URL: homepages.inf.ed.ac.uk Language: English - Date: 2016-01-18 16:34:00 Automatic identification and data capture Humancomputer interaction Machine learning Artificial intelligence Speech recognition Speaker recognition FMLLR Artificial neural network International Conference on Acoustics Speech and Signal Processing Language model
2	DIFFERENTIABLE POOLING FOR UNSUPERVISED SPEAKER ADAPTATION Pawel Swietojanski and Steve Renals Centre for Speech Technology Research, University of Edinburgh, Edinburgh EH8 9AB {p.swietojanski, s.renals}@ed.ac.uk ABSTRA Add to Reading List Source URL: www.cstr.inf.ed.ac.uk Language: English - Date: 2015-09-29 11:06:25 Automatic identification and data capture Artificial neural networks Computational neuroscience Machine learning Computer accessibility Speech recognition Convolutional neural network Speaker recognition Neocognitron Unsupervised learning FMLLR Pattern recognition
3	FEATURE COMPENSATION EMPLOYING ONLINE GMM ADAPTATION FOR SPEECH RECOGNITION IN UNKNOWN SEVERELY ADVERSE ENVIRONMENTS Wooil Kim and John H. L. Hansen Center for Robust Speech Systems (CRSS), Erik Jonsson School of Enginee Add to Reading List Source URL: www.utdallas.edu Language: English - Date: 2012-03-28 10:00:39 Linguistics Automatic identification and data capture Humancomputer interaction Speech recognition Human communication Computational linguistics Computer accessibility FMLLR Speech enhancement Cepstrum Speech corpus