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Author: Liu Lina Wu Qingjiang
Abstract: At present,most gait feathers can not work very well but lateral angles of view in gait recognition technology,even worse obviously than other views usually.In order to solve the problem,a new method gait recognition based on components of angle feature i...
Abstract: At present,most gait feathers can not work very well but lateral angles of view in gait recognition technology,even worse obviously than other views usually.In order to solve the problem,a new method gait recognition based on components of angle feature i...
Author: WU Yan-qu, ZENG Yi-cheng, JIAN
Abstract: To improve performances of speaker models is a significant research subject in the field of speech recognition. The factor analyzed Gaussian mixture model（FAGMM） is a multi-dimensional probability statistical model through the combination of factor analys...
Abstract: To improve performances of speaker models is a significant research subject in the field of speech recognition. The factor analyzed Gaussian mixture model（FAGMM） is a multi-dimensional probability statistical model through the combination of factor analys...
Author: ZHANG Kai, ZHU Li-xin, ZHAO Yi
Abstract: The GMM（Gaussian Mixed Model） based voice conversion method is one of the most successful methods for the voice conversion ,however, the complicated and time consumed training process make it unpractical. And, it needs large amount of training material. T...
Abstract: The GMM（Gaussian Mixed Model） based voice conversion method is one of the most successful methods for the voice conversion ,however, the complicated and time consumed training process make it unpractical. And, it needs large amount of training material. T...
Author: YANG Cheng-fu and ZHANG Yi
Abstract: A series of studies on speaker recognition algorithm based on relevance vector machine （RVM） and gaussian mixture model （GMM） was proposed in this paper. The sparseness and probability prediction of RVM make the algorithm suitable for speaker recognition ...
Abstract: A series of studies on speaker recognition algorithm based on relevance vector machine （RVM） and gaussian mixture model （GMM） was proposed in this paper. The sparseness and probability prediction of RVM make the algorithm suitable for speaker recognition ...
Author: WANG Fei, XIE Qin-lan
Abstract: A study about auto detection of moving objects is made. Because of the insufficiency of traditional methods of optical flow and time difference, a classical method of background difference is taken for detection of moving objects-the Gaussian mixture back...
Abstract: A study about auto detection of moving objects is made. Because of the insufficiency of traditional methods of optical flow and time difference, a classical method of background difference is taken for detection of moving objects-the Gaussian mixture back...
Author: ZHANG Heng, HU Wenlong, DING C
Abstract: Background subtraction is a widely used method for video object detection and its performance is dependent on the quality of background model. In this paper, an algorithm for video target detection based on adaptive learning GMM was proposed by defining a...
Abstract: Background subtraction is a widely used method for video object detection and its performance is dependent on the quality of background model. In this paper, an algorithm for video target detection based on adaptive learning GMM was proposed by defining a...
Author: Chen Cun-bao ,Zhao Li
Abstract: In this paper,a modified Gaussian Mixed Model （GMM） with an embedded Auto-Associate Neural Network （AANN） is proposed.It integrates the merits of GMM and AANN.GMM and AANN as a whole are trained by means of Maximum Likelihood （ML）.In the process of traini...
Abstract: In this paper,a modified Gaussian Mixed Model （GMM） with an embedded Auto-Associate Neural Network （AANN） is proposed.It integrates the merits of GMM and AANN.GMM and AANN as a whole are trained by means of Maximum Likelihood （ML）.In the process of traini...
Author: WU De-Hui , LI Hui , LIU Qing-
Abstract: The poor performance of speaker verification system results from the channel mismatch and the lack of distinction between statistical models. A text-independent speaker verification method is proposed which combines the channel compensation based on facto...
Abstract: The poor performance of speaker verification system results from the channel mismatch and the lack of distinction between statistical models. A text-independent speaker verification method is proposed which combines the channel compensation based on facto...
Author: XIANG Li, LIU Yu, SU Bao-ku
Abstract: In this paper, an evolutionary recursive Bayesian estimation algorithm is presented, which incorporates the latest observation with a new proposal distribution, and the posterior state density is represented by a Gaussian mixture model that is recovered f...
Abstract: In this paper, an evolutionary recursive Bayesian estimation algorithm is presented, which incorporates the latest observation with a new proposal distribution, and the posterior state density is represented by a Gaussian mixture model that is recovered f...
Author: LIU Yun-jun, YANG Sheng, LEI H
Abstract: In the view of the current complex environment, the detection of moving objects can not be satisfactory with traditional methods. The background of diminishing method based on the improved mixture Gaussian model was presented, a new method is used to upda...
Abstract: In the view of the current complex environment, the detection of moving objects can not be satisfactory with traditional methods. The background of diminishing method based on the improved mixture Gaussian model was presented, a new method is used to upda...