![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 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](https://www.pdfsearch.io/img/33545d6eead378c5270ea327f5aced78.jpg) Date: 2015-09-29 11:06:25Automatic 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 | | 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 ABSTRAAdd to Reading ListSource URL: www.cstr.inf.ed.ac.ukDownload Document from Source Website File Size: 215,24 KBShare Document on Facebook
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