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音频深度伪造检测(ADD)旨在检测由语音合成(TTS),和语音转换(VC)等产生的假音频,近年来成为备受关注的一个新课题。传统工作读取单声道信号并直接分析伪影。最近,基于单耳到双耳转换的ADD方法越来越受到关注,因为双耳音频信号提供了一个独特而全面的语音感知视角。然而,来自两个声道的声学信息表现出差异和相似之处,这在以前的研究中没有被深入研究。
The inconsistency between the freely available remote sensing datasets and crowd-sourced data from the resolution perspective forms a big challenge in the context of data fusion. In classical classifi...
Data Structure Fusion     Data Structure       2016/5/24
We consider the problem of specifying data structures with complex sharing in a manner that is both declarative and results in provably correct code. In our approach, abstract data types are speci-fie...
Multiresolution image fusion is an emerging area of research for use in military and commercial applications. While many methods for image fusion have been developed, improvements can still be made. I...
The increasing spatial data provide abundant material for data fusion, and the purpose of the paper is to apply data fusion into the production and updating of spatial data. After outlining the gene...
Human activity analysis is an important and challenging task in video content analysis and understanding. In this paper, we focus on the activity of small human group, which involves countable persons...
With the rapid development of the World Wide Web, there are a huge number of fully or fragmentally duplicated pages in the Internet. Return of these near duplicated results to the users greatly affect...
In this paper, we propose a novel affective video classification method based on facial expression recognition by learning the spatio-temporal feature fusion of actors’ and viewers’ facial expressions...
This paper presents an integrated face image fusion framework, which combines a hierarchical compositionalparadigm with seamless image-editing techniques, for gender conversion. In our framework a hig...
We describe an approach to2D-to-3D video conversion for he stereoscopic display. Targeting the problem ofsynthesizing the frames of a virtual „right view‟ from the original monocular 2D v...
This research aims at enhancing the accuracy of navigation systems by integrating GPS and Mi-cro-Electro-Mechanical-System (MEMS) based inertial measurement units (IMU). Because of the conditions re-q...
This paper proposes a multimodal biometric system through Gaussian Mixture Model (GMM) for face and ear biometrics with belief fusion of the estimated scores characterized by Gabor responses and the p...
Motivated by theoretical analysis of the curve fitting problem based on equivalent kernel, in this paper we propose a local adaptive learning and fusion model for side information interpolation in dis...
In this paper, we propose a novel background subtraction algorithm, which takes both texture and motion information into account. Texture information is represented by local binary pattern (LBP), whic...
Texts in images and videos usually carry important information for visual content understanding and retrieval. Two main restrictions exist in the state-of-the-art text detection algorithms: weak contr...

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