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Mainly for the sake of solving the lack of keyword-specific data, we propose one Keyword Spotting (KWS) system using Deep Neural Network (DNN) and Connectionist Temporal Classifier (CTC) on power-constrained small-footprint mobile devices, taking full advantage of general corpus from continuous speech recognition which is of great amount.
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Richard C. Rose and Douglas B. Paul, · 1990
Earlier work this paper cites.
“Improvements and applications for key word recognition using hidden markov modeling techniques,”
J. G. Wilpon, L. G. Miller, and P. Modi, · 1991
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“Connectionist temporal classification: Labelling unsegmented sequence data with recurrent neural networks,”
Alex Graves, Santiago Fernández, Faustino Gomez, and Jürgen Schmidhuber, · 2006
Earlier work this paper cites.
“An application of recurrent neural networks to discriminative keyword spotting,”
Santiago Fernández, Alex Graves, and Jürgen Schmidhuber, · 2007
Earlier work this paper cites.
“Deep neural networks for acoustic modeling in speech recognition: The shared views of four research groups,”
Geoffrey E. Hinton, Li Deng, Dong Yu, George E. Dahl, Abdel Rahman Mohamed, Navdeep Jaitly, Andrew Senior, Vincent Vanhoucke, Patrick Nguyen, Tara N. Sainath, and Brian Kingsbury, · 2012
Cited alongside, same era.
“On rectified linear units for speech processing,”
Matthew D. Zeiler, M. Ranzato, Rajat Monga, Min Mao, Kun Yang, Quoc Viet Le, Patrick Nguyen, Alan Senior, Vincent Vanhoucke, Jeffrey Dean, and Geoffrey E. Hinton, · 2013
Cited alongside, same era.
“Speech recognition with deep recurrent neural networks,”
Alex Graves, Abdel Rahman Mohamed, and Geoffrey E. Hinton, · 2013
Cited alongside, same era.
“On the importance of initialization and momentum in deep learning,”
Ilya Sutskever, James Martens, George E. Dahl, and Geoffrey E. Hinton, · 2013
Cited alongside, same era.
“Accurate and compact large vocabulary speech recognition on mobile devices,”
Xin Lei, Andrew Senior, Alexander Gruenstein, and Jeffrey Sorensen, · 2013
Later among the works it cites.
“Small-footprint keyword spotting using deep neural networks,”
Guoguo Chen, Carolina Parada, and Georg Heigold, · 2014
Later among the works it cites.
“Convolutional neural networks for small-footprint keyword spotting,”
Tara N. Sainath and Carolina Parada, · 2015
Later among the works it cites.
“Eesen: End-to-end speech recognition using deep rnn models and wfst-based decoding,”
Yajie Miao, Mohammad Gowayyed, and Florian Metze, · 2015
Later among the works it cites.
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