C ultural order is the inherent "soft"order,providing legal explanation and significant value system for the economic order and the political order. C ultural order means the rational,stable and orderly stat...C ultural order is the inherent "soft"order,providing legal explanation and significant value system for the economic order and the political order. C ultural order means the rational,stable and orderly state in the cultural field,w hich can be divided into three levels: the value concept system of the ruling class,i. e.,the ideology of the state; the value system,attitude,belief and orientation of the populace; the self- conscious spirit and value concept system of the intellectual,w hich is represented by literature,art,philosophy and religion.T he establishment and maintenance of the cultural order asks for a group of people believing in such a culture and organizations,institutions and technology to guarantee it. Based on the possession of culture and know ledge and the combination of culture and authority,the C onfucian school class had their say in the traditional society,playing an important role in the establishment and maintenance of the traditional cultural order.展开更多
The co-articulation is one of the main reasons that makes the speech recognition difficult. However, the traditional Hidden Markov Models(HMM) can not model the co-articulation, because they depend on the first-order ...The co-articulation is one of the main reasons that makes the speech recognition difficult. However, the traditional Hidden Markov Models(HMM) can not model the co-articulation, because they depend on the first-order assumption. In this paper, for modeling the co-articulation, a more perfect HMM than traditional first order HMM is proposed on the basis of the authors’ previous works(1997, 1998) and they give a method in that this HMM is used in continuous speech recognition by means of multilayer perceptrons(MLP), i.e. the hybrid HMM/MLP method with triple MLP structure. The experimental result shows that this new hybrid HMM/MLP method decreases error rate in comparison with authors’ previous works.展开更多
A noise estimator was presented in this paper by modeling the log-power sequence with hidden Markov model （HMM）. The smoothing factor of this estimator was motivated by the speech presence probability at each freque...A noise estimator was presented in this paper by modeling the log-power sequence with hidden Markov model （HMM）. The smoothing factor of this estimator was motivated by the speech presence probability at each frequency band. This HMM had a speech state and a nonspeech state, and each state consisted of a unique Gaussian function. The mean of the nonspeech state was the estimation of the noise logarithmic power. To make this estimator run in an on-line manner, an HMM parameter updated method was used based on a first-order recursive process. The noise signal was tracked together with the HMM to be sequentially updated. For the sake of reliability, some constraints were introduced to the HMM. The proposed algorithm was compared with the conventional ones such as minimum statistics （MS） and improved minima controlled recursive averaging （IM- CRA）. The experimental results confirms its promising performance.展开更多
词性是自然语言处理的基本要素,词语顺序包含了所传达的语义与语法信息,它们都是自然语言中的关键信息.在word embedding模型中如何有效地将两者结合起来,是目前研究的重点.本文提出的Structured word2vec on POS联合了词语顺序与词性...词性是自然语言处理的基本要素,词语顺序包含了所传达的语义与语法信息,它们都是自然语言中的关键信息.在word embedding模型中如何有效地将两者结合起来,是目前研究的重点.本文提出的Structured word2vec on POS联合了词语顺序与词性两种信息,不仅使模型可以感知词语位置顺序,而且利用词性关联信息来建立上下文窗口内词语之间的固有句法关系.Structured word2vec on POS将词语按其位置顺序定向嵌入,对词向量和词性相关加权矩阵进行联合优化.实验通过词语类比、词相似性任务,证明了所提出的方法的有效性.展开更多
基金the phased achievement of the national social science fund program“The Study of theHistorical C ontext and Cultural M odel of Culture Soft Pow er”.(N o.:11BZ X019)
文摘C ultural order is the inherent "soft"order,providing legal explanation and significant value system for the economic order and the political order. C ultural order means the rational,stable and orderly state in the cultural field,w hich can be divided into three levels: the value concept system of the ruling class,i. e.,the ideology of the state; the value system,attitude,belief and orientation of the populace; the self- conscious spirit and value concept system of the intellectual,w hich is represented by literature,art,philosophy and religion.T he establishment and maintenance of the cultural order asks for a group of people believing in such a culture and organizations,institutions and technology to guarantee it. Based on the possession of culture and know ledge and the combination of culture and authority,the C onfucian school class had their say in the traditional society,playing an important role in the establishment and maintenance of the traditional cultural order.
文摘The co-articulation is one of the main reasons that makes the speech recognition difficult. However, the traditional Hidden Markov Models(HMM) can not model the co-articulation, because they depend on the first-order assumption. In this paper, for modeling the co-articulation, a more perfect HMM than traditional first order HMM is proposed on the basis of the authors’ previous works(1997, 1998) and they give a method in that this HMM is used in continuous speech recognition by means of multilayer perceptrons(MLP), i.e. the hybrid HMM/MLP method with triple MLP structure. The experimental result shows that this new hybrid HMM/MLP method decreases error rate in comparison with authors’ previous works.
基金Supported by the National Key Basic Research Program of China(2013CB329302)the National Natural Science Foundation of China(61271426,10925419,90920302,61072124,11074275,11161140319,91120001)+3 种基金the Strategic Priority Research Program of the Chinese Academy of Sciences(XDA06030100,XDA06030500)the National "863" Program(2012AA012503)the CAS Priority Deployment Project(KGZD-EW-103-2)Jiangxi Provincial Department of Education Science and Technology Project(GJJ13426)
文摘A noise estimator was presented in this paper by modeling the log-power sequence with hidden Markov model （HMM）. The smoothing factor of this estimator was motivated by the speech presence probability at each frequency band. This HMM had a speech state and a nonspeech state, and each state consisted of a unique Gaussian function. The mean of the nonspeech state was the estimation of the noise logarithmic power. To make this estimator run in an on-line manner, an HMM parameter updated method was used based on a first-order recursive process. The noise signal was tracked together with the HMM to be sequentially updated. For the sake of reliability, some constraints were introduced to the HMM. The proposed algorithm was compared with the conventional ones such as minimum statistics （MS） and improved minima controlled recursive averaging （IM- CRA）. The experimental results confirms its promising performance.
文摘词性是自然语言处理的基本要素,词语顺序包含了所传达的语义与语法信息,它们都是自然语言中的关键信息.在word embedding模型中如何有效地将两者结合起来,是目前研究的重点.本文提出的Structured word2vec on POS联合了词语顺序与词性两种信息,不仅使模型可以感知词语位置顺序,而且利用词性关联信息来建立上下文窗口内词语之间的固有句法关系.Structured word2vec on POS将词语按其位置顺序定向嵌入,对词向量和词性相关加权矩阵进行联合优化.实验通过词语类比、词相似性任务,证明了所提出的方法的有效性.
