MITSUBISHI ELECTRIC RESEARCH LABORATORIES http: www.merl.com Discriminatively Trained Recurrent Neural Networks for Single-Channel Speech Separation - Discrete transform - Document - PDFSEARCH.IO

First Page		Document Content
Date: 2014-12-26 16:03:14 Computational neuroscience Science Long short term memory Speech recognition Non-negative matrix factorization Recurrent neural network International Conference on Acoustics Speech and Signal Processing Backpropagation through time Discrete Fourier transform Neural networks Algebra Mathematics		MITSUBISHI ELECTRIC RESEARCH LABORATORIES http://www.merl.com Discriminatively Trained Recurrent Neural Networks for Single-Channel Speech Separation Add to Reading List Source URL: www.merl.com Download Document from Source Website File Size: 287,16 KB Share Document on Facebook

	Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks Kai Sheng Tai, Richard Socher, Christopher D. Manning Computer Science Department, Stanford University, MetaMind Inc. fo DocID: 1xTeG - View Document
	Multilingual Part-of-Speech Tagging with Bidirectional Long Short-Term Memory Models and Auxiliary Loss Barbara Plank University of Groningen The Netherlands DocID: 1trPq - View Document
	NCSU_SAS_WOOKHEE: A Deep Contextual Long-Short Term Memory Model for Text Normalization Wookhee Min Bradford W. Mott DocID: 1ssrS - View Document
	Curriculum Vitæ Douglas Eck Research Scientist, Music and Machine Learning Google, Mountain View CA, USA Contact DocID: 1rnrM - View Document
	Supplementary for Structural-RNN: Deep Learning on Spatio-Temporal Graphs Ashesh Jain1,2 , Amir R. Zamir1 , Silvio Savarese1 , and Ashutosh Saxena3 Stanford University1 , Cornell University2 , Brain Of Things Inc.3 {ashe DocID: 1rc5q - View Document