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» Language model adaptation using Random Forests
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ICML
2007
IEEE
14 years 9 months ago
Unsupervised estimation for noisy-channel models
Shannon's Noisy-Channel model, which describes how a corrupted message might be reconstructed, has been the corner stone for much work in statistical language and speech proc...
Markos Mylonakis, Khalil Sima'an, Rebecca Hwa
ICMLA
2008
13 years 10 months ago
Multimodal Music Mood Classification Using Audio and Lyrics
In this paper we present a study on music mood classification using audio and lyrics information. The mood of a song is expressed by means of musical features but a relevant part ...
Cyril Laurier, Jens Grivolla, Perfecto Herrera
ICASSP
2009
IEEE
14 years 3 months ago
A study on multilingual acoustic modeling for large vocabulary ASR
We study key issues related to multilingual acoustic modeling for automatic speech recognition (ASR) through a series of large-scale ASR experiments. Our study explores shared str...
Hui Lin, Li Deng, Dong Yu, Yifan Gong, Alex Acero,...
EMNLP
2004
13 years 10 months ago
Active Learning and the Total Cost of Annotation
Active learning (AL) promises to reduce the cost of annotating labeled datasets for trainable human language technologies. Contrary to expectations, when creating labeled training...
Jason Baldridge, Miles Osborne
IACR
2011
147views more  IACR 2011»
12 years 8 months ago
Adaptive Security of Concurrent Non-Malleable Zero-Knowledge
A zero-knowledge protocol allows a prover to convince a verifier of the correctness of a statement without disclosing any other information to the verifier. It is a basic tool a...
Zhenfu Cao, Zongyang Zhang, Yunlei Zhao