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ICDAR
2011
IEEE
1 months 16 days ago
2011
IEEE
—For historical documents, available transcriptions typically are inaccurate when compared with the scanned document images. Not only the position of the words and sentences are ...
ICDAR
2011
IEEE
1 months 16 days ago
2011
IEEE
—To cope with the tremendous variations of writing styles encountered between different individuals, unconstrained automatic handwriting recognition systems need to be trained on...
BMCBI
2011
5 months 18 days ago
2011
Background: Copy number data are routinely being extracted from genome-wide association study chips using a variety of software. We empirically evaluated and compared four freely-...
ACL
2011
5 months 18 days ago
2011
We propose a principled and efficient phraseto-phrase alignment model, useful in machine translation as well as other related natural language processing problems. In a hidden se...
PERCOM
2011
ACM
5 months 20 days ago
2011
ACM
—While most activity recognition systems rely on data-driven approaches, the use of knowledge-driven techniques is gaining increasing interest. Research in this field has mainly...
ICASSP
2011
IEEE
5 months 21 days ago
2011
IEEE
The method which is called the “tandem approach” in speech recognition has been shown to increase performance by using classifier posterior probabilities as observations in a...
ICASSP
2011
IEEE
5 months 21 days ago
2011
IEEE
Currently, the statistical framework based on Hidden Markov Models (HMMs) plays a relevant role in speech synthesis, while voice conversion systems based on Gaussian Mixture Model...
ICASSP
2011
IEEE
5 months 21 days ago
2011
IEEE
This paper presents a novel method for reducing the dimensionality of kernel spaces. Recently, to maintain the convexity of training, loglinear models without mixtures have been u...
JMLR
2010
8 months 25 days ago
2010
Hsu et al. (2009) recently proposed an efficient, accurate spectral learning algorithm for Hidden Markov Models (HMMs). In this paper we relax their assumptions and prove a tighte...
INTERSPEECH
2010
8 months 26 days ago
2010
Hidden Markov models (HMMs) have proven useful in various aspects of speech technology from automatic speech recognition through speech synthesis, speech segmentation and grapheme...
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