编码的识别技术用于识别语音信号是隐马尔科夫模型的技术。
The recognition technique used for the recognition of the coded speech signals is the Hidden Markov Model technique.
然后，在分词之后引入隐马尔科夫模型来识别大部分音乐实体。
Then after word segmentation, we introduced Hidden Markov Model to identify most of musical entities.
提出一种结合分层隐马尔科夫模型(LHMM)与熵值的聚众事件实时检测方法。
This paper proposes a Layered Hidden Markov Model (LHMM) and entropy method to detect a gathering event in real-time.
在某些情况下，甲基化的酶作用物能够从隐马尔科夫模型序列相似性网络中被推断。
In some cases, the substrate of methylation can be inferred from hidden Markov model sequence similarity networks.
介绍了一个基于隐马尔科夫模型的、采用模糊分割方式的脱机手写英文单词识别系统。
Our off-line cursive English word recognition system was based on HMM (Hidden Markov Models) and blur segmentation.
为了推理移动用户在智能空间的活动，提出了基于隐马尔科夫模型的上下文感知活动计算。
The context-aware activity computing based on hidden Markov model was proposed to predict the activity of mobile user in a smart space.
该文研究了基于数据模拟方法和HMM（隐马尔科夫模型）自适应的电话信道条件下语音识别问题。
This paper addresses the problem of speech recognition under telephone channel conditions using data simulation method and HMM(Hidden Markov Model)adaptation.
同时，我们提出了一种新颖、实用的训练语料标注方案，这使得隐马尔科夫模型在音乐实体识别上变得实际可行。
Meanwhile, a novel and convenient training corpus tagging method was proposed, which made Hidden Markov Model practically usable in Musical Entity Recognition.
在实验中，将该算法分别应用到实值离散小波变换域和双树复数小波变换域，并和隐马尔科夫模型的去噪方法做了比较分析。
Secondly, using locally variance estimation, a locally adaptive image-denoising algorithm was presented. Also this algorithm could be applied to the complex wavelet domain.
韵律短语的长度约束模型是利用隐马尔科夫模型对语句中韵律短语的长度规划进行建模，这个模型对短语的长度分布及韵律词与韵律短语的关系进行了描述。
And an HMM is used to model the phrase-length constraints, which include the distributions of the prosodic phrase lengths and the prosodic word number in the prosodic phrase.
然后给出了隐马尔科夫过程动态系统的一般模型。
Also we present commonly model of Hidden Markov Processes dynamic system.
然后给出了隐马尔科夫过程动态系统的一般模型。
Also we present commonly model of Hidden Markov Processes dynamic system.
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