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Efficient Hidden Semi-Markov Model Inference for Structured Video Sequences
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On Efficient Viterbi Decoding for Hidden semi-Markov Models
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The goal of this paper is to describe an off-line
segmentation-free Arabic handwritten words recognition
system. This system is based on a semi-continuous 1-
dimensionnal hidden Markov models (SCHMMs)
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隐半马尔科夫模型实现代码,包括三个文档：初始化、前向后向算法，文档中对参数都有详尽解释-hidden semi-Markov model realization
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SHIRO is a set of tools based on HSMM (Hidden Semi-Markov Model), for aligning phoneme transcr iption with speech recordings, as well as training phoneme-to-speech alignment models.
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