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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。
MULTI-MODAL REMOTE SENSING DATA FUSION FRAMEWORK
Deep Learning Convolutional Neural Networks Super resolution Crowd-sourced data Data fusion
2017/8/10
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...
Nearest Neighbourhood Classifiers in a Bimodal Biometric Verification System Fusion Decision Scheme
Biometrics face verification speaker verification k-NN classifiers
2014/3/12
Identity verification systems that use a mono modal biometrics always have to contend with sensor noise and limitations of feature extractor and matching.However combining information from different b...