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INTERSPEECH
2010
15 years 1 months ago
Investigation of full-sequence training of deep belief networks for speech recognition
Recently, Deep Belief Networks (DBNs) have been proposed for phone recognition and were found to achieve highly competitive performance. In the original DBNs, only framelevel info...
Abdel-rahman Mohamed, Dong Yu, L. Deng
JMLR
2010
106views more  JMLR 2010»
15 years 1 months ago
Why Does Unsupervised Pre-training Help Deep Learning?
Much recent research has been devoted to learning algorithms for deep architectures such as Deep Belief Networks and stacks of auto-encoder variants, with impressive results obtai...
Dumitru Erhan, Yoshua Bengio, Aaron C. Courville, ...
TKDE
2010
161views more  TKDE 2010»
15 years 1 months ago
A Deductive Spreadsheet System for End Users
We exploit the spreadsheet metaphor to make deductive problem-solving methods available to the vast population of spreadsheet end users. In particular, we show how the function-bas...
Marcelo Tallis, Robert M. Balzer
ICASSP
2011
IEEE
14 years 10 months ago
Generating compound words with high order n-gram information in large vocabulary speech recognition systems
In this work we concentrate on generating compound words with high order n-gram information for speech recognition. In most existing compound words generation methods, only bi-gra...
Jie Zhou, Qin Shi, Yong Qin
ICASSP
2011
IEEE
14 years 10 months ago
Forensically inspired approaches to automatic speaker recognition
This paper presents ongoing research leveraging forensic methods for automatic speaker recognition. Some of the methods forensic scientists employ include identifying speaker dist...
Kyu J. Han, Mohamed Kamal Omar, Jason W. Pelecanos...
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