Evolutionary structure of hidden Markov models for audio-visual Arabic speech recognition

Amina Makhlouf; Lilia Lazli; Bachir Bensaker

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Evolutionary structure of hidden Markov models for audio-visual Arabic speech recognition

机译：视听阿拉伯语音识别的隐马尔可夫模型的演化结构

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In this paper, we present an Audio-Visual Automatic Speech Recognition System that combines the acoustic and the visual data. The proposed algorithm here, for modelling the multimodal data, is a Hidden Markov Model (HMM) hybridised with the Genetic Algorithm (GA) to determine its optimal structure. This algorithm is combined with the Baum-Welch algorithm, which allows an effective re-estimation of the probabilities of the HMM. Our experiments show the improvement in the performance of the most promising audio-visual system, based on the combination of GA/HMM model compared to the traditional HMM.

机译：在本文中，我们提出了一种结合了声音和视觉数据的视听自动语音识别系统。此处提出的用于对多峰数据建模的算法是与遗传算法（GA）混合以确定其最佳结构的隐马尔可夫模型（HMM）。该算法与Baum-Welch算法结合在一起，可以有效地重新估计HMM的概率。我们的实验表明，与传统的HMM相比，基于GA / HMM模型的组合可以改善最有前途的视听系统的性能。

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《International Journal of Signal and Imaging Systems Engineering》 |2016年第1期|共12页
作者
Amina Makhlouf; Lilia Lazli; Bachir Bensaker;
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正文语种 eng
中图分类信号处理;
关键词
Automatic speech recognition; Computer vision; HMM; Hidden Markov model; GA; Genetic algorithm; Hybrid GA/HMM model; Signal processing; Audio-visual fusion;

机译：自动语音识别;计算机视觉;HMM;隐马尔可夫模型;遗传算法;遗传算法;混合GA / HMM模型;信号处理;视听融合;

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1. Evolutionary structure of hidden Markov models for audio-visual Arabic speech recognition [J] . Amina Makhlouf, Lilia Lazli, Bachir Bensaker International Journal of Signal and Imaging Systems Engineering . 2016,第1期

机译：视听阿拉伯语音识别的隐马尔可夫模型的演化结构
2. Characteristics of the use of coupled hidden Markov models for audio-visual polish speech recognition [J] . J. Bobulski, L. Adrjanowicz, M. Kubanek Bulletin of the Polish Academy of Sciences. Technical Sciences . 2012,第2期

机译：使用耦合隐马尔可夫模型进行视听波兰语语音识别的特征
3. Characteristics of the use of coupled hidden Markov models for audio-visual polish speech recognition [J] . M. KubanekInstitute of Computer and Information Sciences Czestochowa University of Technology 73 D?browskiego St. 42-200 Cz?stochowa PolandOther articles by this author:De Gruyter OnlineGoogle Scholar, J. BobulskiInstitute of Computer and Information Sciences Czestochowa University of Technology 73 D?browskiego St. 42-200 Cz?stochowa PolandOther articles by this author:De Gruyter OnlineGoogle Scholar, L. AdrjanowiczInstitute of Computer and Information Sciences Czestochowa University of Technology 73 D?browskiego St. 42-200 Cz?stochowa PolandOther articles by this author:De Gruyter OnlineGoogle Scholar Bulletin of the Polish Academy of Sciences. Technical Sciences . 2012,第2期

机译：使用耦合隐马尔可夫模型进行视听波兰语语音识别的特征
4. A probabilistic principal component analysis based hidden Markov model for audio-visual speech recognition [C] . Zhanyu Ma, Leijon A. Signals, Systems and Computers . 2008

机译：基于概率主成分分析的隐马尔可夫模型用于视听语音识别
5. Online Learning of Large Margin Hidden Markov Models for Automatic Speech Recognition. [D] . Cheng, Chih-Chieh. 2011

机译：在线学习大余量隐马尔可夫模型以进行自动语音识别。
6. Assessment of Dysarthria Using One-Word Speech Recognition with Hidden Markov Models [O] . Seung Hak Lee, Minje Kim, Han Gil Seo, 2019

机译：使用隐马尔可夫模型的单字语音识别评估构音障碍
7. Arabic text recognition of printed manuscripts. Efficient recognition of off-line printed Arabic text using Hidden Markov Models, Bigram Statistical Language Model, and post-processing. [O] . Al-Muhtaseb Husni Abdulghani 2010

机译：印刷品的阿拉伯文字识别。使用隐马尔可夫模型，Bigram统计语言模型和后处理可有效识别离线印刷的阿拉伯文本。
8. Improving on hidden Markov models: An articulatorily constrained, maximum likelihood approach to speech recognition and speech coding [R] . Hogden, J. 1996

机译：改进隐马尔可夫模型：语音识别和语音编码的语义约束，最大似然方法

Evolutionary structure of hidden Markov models for audio-visual Arabic speech recognition

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