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pro vyhledávání: '"Yadav amit"'
Autor:
Salvi, Davide, Yadav, Amit Kumar Singh, Bhagtani, Kratika, Negroni, Viola, Bestagini, Paolo, Delp, Edward J.
Recent techniques for speech deepfake detection often rely on pre-trained self-supervised models. These systems, initially developed for Automatic Speech Recognition (ASR), have proved their ability to offer a meaningful representation of speech sign
Externí odkaz:
http://arxiv.org/abs/2411.17349
Diffusion-based speech generators are ubiquitous. These methods can generate very high quality synthetic speech and several recent incidents report their malicious use. To counter such misuse, synthetic speech detectors have been developed. Many of t
Externí odkaz:
http://arxiv.org/abs/2409.13049
Methods that can generate synthetic speech which is perceptually indistinguishable from speech recorded by a human speaker, are easily available. Several incidents report misuse of synthetic speech generated from these methods to commit fraud. To cou
Externí odkaz:
http://arxiv.org/abs/2404.10989
Autor:
Yadav, Amit Kumar Singh, Xiang, Ziyue, Bhagtani, Kratika, Bestagini, Paolo, Tubaro, Stefano, Delp, Edward J.
Many deep learning synthetic speech generation tools are readily available. The use of synthetic speech has caused financial fraud, impersonation of people, and misinformation to spread. For this reason forensic methods that can detect synthetic spee
Externí odkaz:
http://arxiv.org/abs/2402.14205
Publikováno v:
Energy Strategy Reviews 2022. Vol 41, 100864
Wind power generated by wind has non-schedule nature due to stochastic nature of meteorological variable. Hence energy business and control of wind power generation requires prediction of wind speed (WS) from few seconds to different time steps in ad
Externí odkaz:
http://arxiv.org/abs/2401.14065
Autor:
Jiang, Yuming, Rex, Devasahayam Arokia Balaya, Schuster, Dina, Neely, Benjamin A., Rosano, Germán L., Volkmar, Norbert, Momenzadeh, Amanda, Peters-Clarke, Trenton M., Egbert, Susan B., Kreimer, Simion, Doud, Emma H., Crook, Oliver M., Yadav, Amit Kumar, Vanuopadath, Muralidharan, Mayta, Martín L., Duboff, Anna G., Riley, Nicholas M., Moritz, Robert L., Meyer, Jesse G.
Proteomics is the large scale study of protein structure and function from biological systems through protein identification and quantification. "Shotgun proteomics" or "bottom-up proteomics" is the prevailing strategy, in which proteins are hydrolyz
Externí odkaz:
http://arxiv.org/abs/2311.07791
Modeling and parametric optimization of 3D tendon-sheath actuator system for upper limb soft exosuit
Autor:
Yadav, Amit, Kumar, Nitesh, Surana, Shaurya, Ramasamy, Aravind, Pal, Abhishek Rudra, Santapuri, Sushma, Kumar, Lalan, Muthukrishnan, Suriya Prakash, Bhasin, Shubhendu, Roy, Sitikantha
This paper presents an analysis of parametric characterization of a motor driven tendon-sheath actuator system for use in upper limb augmentation for applications such as rehabilitation, therapy, and industrial automation. The double tendon sheath sy
Externí odkaz:
http://arxiv.org/abs/2306.17427
Autor:
Yadav, Amit Kumar Singh, Bhagtani, Kratika, Xiang, Ziyue, Bestagini, Paolo, Tubaro, Stefano, Delp, Edward J.
Tools to generate high quality synthetic speech signal that is perceptually indistinguishable from speech recorded from human speakers are easily available. Several approaches have been proposed for detecting synthetic speech. Many of these approache
Externí odkaz:
http://arxiv.org/abs/2304.03323
Autor:
Viqar, Maryam, Madjarova, Violeta, Yadav, Amit Kumar, Pashkuleva, Desislava, Machikhin, Alexander S.
Deep-learning based segmentation model is proposed for Optical Coherence Tomography images of human varicose vein based on the U-Net model employing atrous convolution with residual blocks, which gives an accuracy of 0.9932.
Externí odkaz:
http://arxiv.org/abs/2303.01054
Autor:
Yadav, Amit1,2 (AUTHOR) amityadav@imtech.res.in, Subramanian, Srikrishna1,2 (AUTHOR) krishna@imtech.res.in
Publikováno v:
BMC Genomics. 11/16/2024, Vol. 25 Issue 1, p1-15. 15p.