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1下载：
一个用C语言编写的通用的隐性马尔可夫代码库-a general c code for hidden semi-Markov model
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提供HSMM隐半马尔科夫的前向后向算法。可用于模式识别-Hidden semi-Markov providing HSMM back to the first algorithm. Can be used for pattern recognition
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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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HTS version 2.1 includes hidden semi-Markov model (HSMM) training/adaptation/synthesis, speech parameter generation algorithm considering global variance (GV), SMAPLR/CSMAPLR adaptation, and other minor new features.
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该程序实现半隐式马尔可夫模型。对于通信工作者以及对随机过程研究者有用。希望大家喜欢。-The program realization of semi-hidden Markov model. For the communication workers and researchers on the usefulness of stochastic processes. Hope everyone likes.
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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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hidden markov model based text to speech
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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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C implementation of inference and training algorithms for Hidden Semi-Markov Models (HSMM) with left-to-right topology.
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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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