1) HMM
隐马尔柯夫（HMM）模型
2) Hidden Markov Model
隐马模型
1.
Research on Hidden Markov Model for Chinese Natural Language Processing;
中文统计自然语言处理隐马模型的研究
3) HMM
隐马尔可夫
1.
A recognition method based on HMM and K-means cluster is proposed through extracting LPC characteristic from acoustic target.
提出一种隐马尔可夫模型和K-均值聚类混合模型的声目标识别方法。
4) HMM
隐马氏模型
1.
Parameters Training of HMM Based on DCPM-FGA;
基于DCPM-FGA的隐马氏模型的参数训练
2.
The Convergence of Two Problem and the Application of Maximum Model Distance Algorithm in HMM;
隐马氏模型中两类问题的收敛性及最大模型距离算法的应用
3.
Parameters Training Problem on Some Special HMMS;
几类特殊隐马氏模型的参数训练问题
5) HMM
隐马尔科夫
1.
This paper gives a survey of existing face recognition methods in recent years,such as: Eigenface,HMM,neural networks as well as the methods of elastic graph matching.
在此简单介绍了近年来常用的几种人脸识别方法,如:特征脸、隐马尔科夫、神经网络、以及弹性图匹配方法等。
2.
In the field of audio recognition, with many mature and creative technologies applying, especially the Hidden Markov Models (HMM), the effect and efficient of the audio recognition system have been enhanced.
在音频信号识别特别是语音识别领域内,随着隐马尔科夫模型(HMM)的应用,使得系统的识别性能有了改进,但是由于训练和测试环境(背景噪声、音频传输信道等)的失配常常导致识别性能的严重下降。
6) Hidden Markov Model
隐马尔可夫
1.
In this paper, the author adopts Dynamic Time Warping (DTW) model and Hidden Markov Model (HMM) respectively, to study the little vocabulary and isolated speech recognition.
待识别语音通过与各个隐马尔可夫模型匹配，即得到识别结果。
参考词条
补充资料：马尔可夫链模型
见数理社会学。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。