Zobrazeno 1 - 10
of 219
pro vyhledávání: '"Zeng, Chunyan"'
Speaker recognition is a biometric modality that utilizes the speaker's speech segments to recognize the identity, determining whether the test speaker belongs to one of the enrolled speakers. In order to improve the robustness of the i-vector framew
Externí odkaz:
http://arxiv.org/abs/2307.02751
Deep learning-based computer vision technology has grown stronger in recent years, and cross-fertilization using computer vision technology has been a popular direction in recent years. The use of computer vision technology to identify students' lear
Externí odkaz:
http://arxiv.org/abs/2303.10916
With the development of blockchain technology, more and more attention has been paid to the intersection of blockchain and education, and various educational evaluation systems and E-learning systems are developed based on blockchain technology. Amon
Externí odkaz:
http://arxiv.org/abs/2303.04477
Deep learning techniques have achieved specific results in recording device source identification. The recording device source features include spatial information and certain temporal information. However, most recording device source identification
Externí odkaz:
http://arxiv.org/abs/2212.02084
Most Deep Learning (DL) based Compressed Sensing (DCS) algorithms adopt a single neural network for signal reconstruction, and fail to jointly consider the influences of the sampling operation for reconstruction. In this paper, we propose unified fra
Externí odkaz:
http://arxiv.org/abs/2211.05963
Digital audio tampering detection can be used to verify the authenticity of digital audio. However, most current methods use standard electronic network frequency (ENF) databases for visual comparison analysis of ENF continuity of digital audio or pe
Externí odkaz:
http://arxiv.org/abs/2210.10506
Deep Learning (DL) based Compressed Sensing (CS) has been applied for better performance of image reconstruction than traditional CS methods. However, most existing DL methods utilize the block-by-block measurement and each measurement block is resto
Externí odkaz:
http://arxiv.org/abs/2209.13761
Most digital audio tampering detection methods based on electrical network frequency (ENF) only utilize the static spatial information of ENF, ignoring the variation of ENF in time series, which limit the ability of ENF feature representation and red
Externí odkaz:
http://arxiv.org/abs/2208.11920
The existing source cell-phone recognition method lacks the long-term feature characterization of the source device, resulting in inaccurate representation of the source cell-phone related features which leads to insufficient recognition accuracy. In
Externí odkaz:
http://arxiv.org/abs/2208.12753
The black-box nature of Deep Neural Networks (DNNs) severely hinders its performance improvement and application in specific scenes. In recent years, class activation mapping-based method has been widely used to interpret the internal decisions of mo
Externí odkaz:
http://arxiv.org/abs/2207.03648