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We analyze the i-vector extraction from the perspective of the prior distribution exerted on the mean supervector of Gaussian mixture model (GMM). To this end, we start off with the analysis of the subspace prior which leads to the compressed representation in the standard i-vector extraction. We then propose the use of quasi-factorial prior and show how it impacts the total variability space and...
Firstly, the paper defines the meaning of R&D, R&D input and output and R&D performance and determines the evaluation index system of R&D input and output performance in regional higher education's; Next, it states the C2R model of DEA method, BC2 model and input redundancy and output shortage; Then uses DEA method to demonstration measure overall efficiency of R&D input and output,...
Gaussian mixture models (GMMs) are commonly used in text-independent speaker verification for modeling the spectral distribution of speech. Recent studies have shown the effectiveness of characterizing speaker information using the mean super-vector obtained by concatenating the mean vectors of the GMM. This paper proposes to use the spatial correlation captured by the covariance matrix of the mean...
Motion Compensated Frame Interpolation (MCFI) is a commonly used method to enhance the temporal resolution of video sequences. However, when scene change occurs, there is less temporal correlation between frames, so the interpolation technique can't work well. Moreover, this motion-based method always induces visual artifacts due to incorrect motion vectors. In this paper, firstly a scene change detection...
The accurate estimation of source number detection may be very essential to high-resolution array processing. However, the traditional algorithms are sensitive to different noise fields. To overcome the drawback, this paper addresses a novel effective accurate detection algorithm by using the canonical correlation coefficients of the joint covariance matrix. Compared with the traditional algorithms,...
The present study extended previous research by proposing and empirically testing the relationship between trust in leader and team performance and the model of mediating processes underlying the relationship. The survey was conducted in 75 work team from several cities in China. The hierarchical regression results showed that trust in team leader involved cognition-based trust and affect-based trust,...
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