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» Experimental Evaluation of Hierarchical Hidden Markov Models
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ICASSP
2011
IEEE
14 years 5 months ago
Combining HMM-based melody extraction and NMF-based soft masking for separating voice and accompaniment from monaural audio
Modern monaural voice and accompaniment separation systems usually consist of two main modules: melody extraction and timefrequency masking. A main distinction between different s...
Yun Wang, Zhijian Ou
ICDAR
2009
IEEE
14 years 11 months ago
Stochastic Segment Modeling for Offline Handwriting Recognition
In this paper, we present a novel approach for incorporating structural information into the hidden Markov Modeling (HMM) framework for offline handwriting recognition. Traditiona...
Premkumar Natarajan, Krishna Subramanian, Anurag B...
IEEEHPCS
2010
14 years 8 months ago
Robust lossless data hiding: Analysis and evaluation
Robust lossless data hiding (LDH) methods have attracted more and more attentions for copyright protection of multimedia in lossy environment. One of the important requirements of...
Lingling An, Xinbo Gao, Cheng Deng, Feng Ji
CSL
2007
Springer
15 years 1 months ago
Discriminative semi-parametric trajectory model for speech recognition
Hidden Markov Models (HMMs) are the most commonly used acoustic model for speech recognition. In HMMs, the probability of successive observations is assumed independent given the ...
K. C. Sim, M. J. F. Gales
CVPR
2006
IEEE
16 years 4 months ago
Stereo Matching with Color-Weighted Correlation, Hierarchical Belief Propagation and Occlusion Handling
In this paper, we formulate an algorithm for the stereo matching problem with careful handling of disparity, discontinuity and occlusion. The algorithm works with a global matchin...
Qingxiong Yang, Liang Wang, Ruigang Yang, Henrik S...