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Acquisition device clustering from speech recordings is a new and critical problem in the field of speech forensic, which aims at merging speech recordings acquired by the same device into one cluster without both pre-knowing prior information of the processed data and pre-training classifier. We propose a mobile phone clustering method, in which deep Gaussian supervector learned by deep neural network...
Speaker role clustering is to obtain the number of different roles and to merge the utterances of the same role into one cluster in an unsupervised way, which is important for rich transcription of multi-speaker spoken documents. This paper presents an approach to role clustering using turn features and maximum distances of inter-clusters. The turn features of each speaker are extracted from audio...
Features extracted from rolling bearing signal usually contain a great deal of noise and other redundant information which may reduce the efficiency of fault diagnosis. In this paper, a new method based on adaptive treelets transform is proposed for fault diagnosis of rolling bearing, which is proved to be an effective method. Treelets transform is a local multi-scale analysis method, and it is especially...
An image of a finger captured under infrared light contains not only the vein pattern but also irregular shading produced by the various thicknesses of the finger bones and muscles. In this paper, we propose a new method to enhance the contrast of the finger vein image. It consists of five parts: wavelet denoising, normalization, adjacent node threshold image method, eliminate black block and burr,...
As the steganography technology becomes diversified recently, a good blind steganalyzer is in great request. In recent works, a blind steganalysis based on statistical moments of wavelet characteristic functions (MWCF) is proposed, but it has poor generalization ability to some extent. To improve this weakness, the F-score feature selection method is used to filter irrelevant, redundant features calculated...
Since recent advances of remote sensing instruments have significantly improved sensor's spectral resolution, pixel resolution is larger than the object size, such that the hyperspectral signal collected by the sensor at each pixel is formed by an integration of signals, which can be considered macroscopically pure, are usually named ldquoendmembersrdquo in hyperspectral image. It is top of all in...
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