Unsupervised feature learning for audio classification using convolutional deep belief networks - Deep learning - Document - PDFSEARCH.IO

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	Unsupervised feature learning for audio classification using convolutional deep belief networks Add to Reading List Document Date: 2009-11-03 17:17:35 Open Document File Size: 360,38 KB Share Result on Facebook Company nH nV / / IndustryTerm energy function / stateof-the-art algorithms / deep belief networks / energy-based model / convolutional deep belief network / convolutional deep belief networks / classification algorithms / deep belief network / belief networks / sparse coding algorithm / audio processing / deep learning algorithms / learning algorithm / energy / / MusicAlbum For / / Organization office of Naval Research / National Science Foundation / US Federal Reserve / Stanford University Stanford / / Person Dan Jurafsky / Yun-Hsuan Sung / Pedro Moreno / Lee Yan Largman Peter Pham / Roger Grosse / / Position scoring speaker / artist / speaker / representative / Sparse deep belief network model for visual area V2 / same artist / / ProvinceOrState California / / RadioStation 5.1 RAW 51.6 / 6 RAW 56.0 / / Technology speech recognition / 2 2.1 Algorithms / stateof-the-art algorithms / sparse coding algorithm / classification algorithms / deep learning algorithms / / URL http / SocialTag Learning Speech recognition Supervised learning Spectrogram Semi-supervised learning K-nearest neighbor algorithm Unsupervised learning Neural network Support vector machine Machine learning

Unsupervised feature learning for audio classification using convolutional deep belief networksAdd to Reading List