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- A new synthetic aperture radar (SAR) image filter method is proposed based on hidden Markov model (HMM). 在小波域隱Markov模型(HMM)的基礎上提出一種新的合成孔徑雷達(SAR)圖像的濾波方法。
- This paper proposes a novel contour tracking algorithm based on Hidden Markov Model (HMM) and optic flow. 提出了一個新穎的基於隱馬爾科夫模型與光流的輪廓線跟蹤演算法。
- In this thesis, we use both Hidden Markov Model (HMM) and Weight Array Model (WAM) to predict the splice sites. 本文基於隱Markov模型(HMM)和權重陣列模型(WAM)兩種方法來預測剪接位點。
- This paper presents a Chinese named entity recognition system that integrates the Hidden Markov Model (HMM) and rules which are automatic extracted from the training corpus. 本文實現的中文命名實體識別系統採用了隱馬爾可夫模型(Hidden Markov Model,HMM)與自動規則提取相結合的方法。
- The substance of this magisterial thesis is the research and improvement of speaker recognition which is based on the VQ (Vector Quantization) and HMM (Hidden Markov Model). 本論文主要內容是基於矢量量化(VQ) 和隱馬爾可夫模型(HMM)的說話人識別演算法的研究和改進。
- Proposes a hybrid approach for phoneme recognition based on combination of improved counter-propagation (CP) neural network and hidden Markov model (HMM). 提出了一種基於改進對偶傳播 (CP) 神經網路與隱馬爾可夫模型 (HMM) 相結合的混合音素識別方法。
- In order to use duration information in Language IDentification (LID) efficiently, the inhomogeneous Hidden Markov Model (HMM) with general topological structure is proposed, and is used to identify the language between Mandarin and English also. 為了充分利用語音信號中的段長信息,該文提出了一種具有一般拓撲結構的非齊次隱含Markov模型(Hidden Markov Model,HMM),並將其應用於中、英文語種辨識(Language IDentification,LID)系統。
- The whole process was divided into two steps.First to use the hidden Markov model for part-of-speech tagging, and then made use of match rules to amend and convert the result of the HMM step. 整個識別過程主要分成兩個步驟,首先使用隱馬爾可夫模型進行詞性標註,然後利用具有優先順序別的匹配規則對第一步的結果進行修正和轉換。
- A new approach for hidden Markov model (HMM) training based on an improved maximum mutual information (MMI) criterion was presented and HMM parameter adjustment rules were induced. 摘要提出一種改進的最大互信息(MMI)準則函數並把它應用於隱馬爾可夫模型(HMM)的參數估計,重新推導了HMM的迭代公式。
- In this paper a method of continuous speech recognition based on hidden Markov models (HMM) and vector quantization (VQ) is discussed. 本文討論基於隱馬爾可夫模型(HMM)和矢量量化(VQ)的連續語音識別方法。
- The use of hidden Markov models(HMM) for faces is motivated by their partial invariance to variations in scaling and by the structure of faces. 隱馬爾可夫模型(HMM)在人臉識別中的運用是由HMM在圖像定標變化過程中的局部恆定性和人臉的結構所決定的。
- non-homogeneous hidden Markov model (HMM) 非齊次隱馬爾可夫模型
- This paper presents a hybrid model of Continuous Density Hidden Markov Model (CDHMM) and the Multi-Layer Perceptron (MLP). 本文提出了一種由連續隱馬爾可夫模型(CDHMM)與多層感知器(MLP)構成的混合模型,並將該模型應用於語音孤立詞識別。
- It produces Mongolian translation from the single language material through use of dictionary-based model and Hidden Markov Model. 基於HMM模型的蒙古文生成方法採用詞典驅動模型和HMM模型從單語料生成蒙古文譯文。
- Second, we discuss the three base question of Hidden Markov Model, induce two new algorithms, named mend Baum-Welch and mend Viterbi. 其次,本文在研究了隱馬爾可夫模型的基礎上,對其三個基本問題進行了比較細緻的論證,並引入改進Viterbi演算法。
- The continuous density hidden Markov model(CDHMM) is adopted, Viterbi and Baum-Welch reestimation algorithms is utilized to train and recognize the speech signals. 採用連續HMM模型,利用Baum-Welth重估、Viterbi演算法進行訓練和識別,實現系統軟體設計。
- Then sub-state maximum likelihood and combining transition sub-state maximum likelihood (CTSSML) for parellel sub-state hidden Markov model are also presented. 在此基礎上,提出了兩種用於平行子狀態隱馬爾可夫模型的識別解碼策略-子狀態最大似然解碼和聯合轉移子狀態最大似然解碼。
- Through the combination of Hidden Markov Model POS tagging and the smoothing algorithm, we obtain a tagging precision of 86%, and a disambiguation of 82%. 在實現基於隱馬爾可夫模型的詞性標註同時,結合平滑演算法,標註正確率達到86%25,排歧正確率達到82%25;
- Hidden Markov Models are introduced to the area of ship-radiated noise recognition. 將隱馬爾可夫模型引入到艦船雜訊目標識別中。
- By hidden Markov model, it combined with a prior segmentation model which is independent to noise feature as the compensation for the mismatch of acoustic model to enhance the robust performance. 然後,假設音節長度序列符合一階馬爾科夫過程,經過歸一化處理后,求出了切分的先驗概率公式,得到了貝葉斯方法的切分模型。