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pro vyhledávání: '"Mayank, Kumar"'
In the realm of audio watermarking, it is challenging to simultaneously encode imperceptible messages while enhancing the message capacity and robustness. Although recent advancements in deep learning-based methods bolster the message capacity and ro
Externí odkaz:
http://arxiv.org/abs/2406.03822
Autor:
Deepak Chandra Joshi, Anurag Sharma, Sonima Prasad, Karishma Singh, Mayank Kumar, Kajal Sherawat, Hardeep Singh Tuli, Madhu Gupta
Publikováno v:
Discover Oncology, Vol 15, Iss 1, Pp 1-40 (2024)
Abstract Novel therapeutic agents in clinical trials offer a paradigm shift in the approach to battling this prevalent and destructive disease, and the area of cancer therapy is on the precipice of a trans formative revolution. Despite the importance
Externí odkaz:
https://doaj.org/article/1794742c1bfd4630b3d8325ec0c1be5a
Publikováno v:
Asian Journal of Medical Sciences, Vol 15, Iss 7, Pp 133-136 (2024)
Background: Platelet-rich plasma (PRP) helps in the treatment of various insertion tendinitis, and the recurrence rate will be low. In this study, we used intralesional injections of autologous PRP for the treatment of insertion tendinitis. Aims a
Externí odkaz:
https://doaj.org/article/0e9e12af8937474b9d17fcb668f335f6
Autor:
Malik, Mayank Kumar1 (AUTHOR) comdt.malik@gmail.com, Kumar, Vipin2 (AUTHOR) sharmadibru@gmail.com, Kumarasamy, Vinoth3 (AUTHOR) vinoth@ukm.edu.my, Singh, Om Prakash4 (AUTHOR) omprakashsingh@gmail.com, Kumar, Mukesh5 (AUTHOR) mukesh.najibabad@gmail.com, Dixit, Raghav2 (AUTHOR) raghavdixitphd1985@gmail.com, Subramaniyan, Vetriselvan6,7 (AUTHOR) subramaniyan.vetriselvan@monash.edu, Singh, Jaspal1 (AUTHOR) jaspal@gkv.ac.in
Publikováno v:
Molecules. Jul2024, Vol. 29 Issue 13, p1-14. 14p. 2 Black and White Photographs, 3 Diagrams, 7 Charts, 1 Graph.
Many existing works on voice conversion (VC) tasks use automatic speech recognition (ASR) models for ensuring linguistic consistency between source and converted samples. However, for the low-data resource domains, training a high-quality ASR remains
Externí odkaz:
http://arxiv.org/abs/2305.15055
Primary goal of an emotional voice conversion (EVC) system is to convert the emotion of a given speech signal from one style to another style without modifying the linguistic content of the signal. Most of the state-of-the-art approaches convert emot
Externí odkaz:
http://arxiv.org/abs/2302.10536
Publikováno v:
Cybernetics and Information Technologies, Vol 24, Iss 2, Pp 105-121 (2024)
An efficient face recognition system is essential for security and authentication-based applications. However, real-time face recognition systems have a few significant concerns, including face pose orientations. In the last decade, numerous solution
Externí odkaz:
https://doaj.org/article/612d59225b9b41b2b6a769d3486e84d4
Autor:
Singh, Abha
Publikováno v:
Social Scientist, 2016 Jan 01. 44(1/2), 83-84.
Externí odkaz:
https://www.jstor.org/stable/24890234
Recent progress in deep generative models has improved the quality of voice conversion in the speech domain. However, high-quality singing voice conversion (SVC) of unseen singers remains challenging due to the wider variety of musical expressions in
Externí odkaz:
http://arxiv.org/abs/2210.11096