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This paper presents the T02 team's system for the Singing Voice Conversion Challenge 2023 (SVCC2023). Our system entails a VITS-based SVC model, incorporating three modules: a feature extractor, a voice converter, and a post-processor. Specifically,
Externí odkaz:
http://arxiv.org/abs/2310.05118
Autor:
Xu, Weiming, Chen, Zhouxuan, Tan, Zhili, Lv, Shubo, Han, Runduo, Zhou, Wenjiang, Zhao, Weifeng, Xie, Lei
A typical neural speech enhancement (SE) approach mainly handles speech and noise mixtures, which is not optimal for singing voice enhancement scenarios. Music source separation (MSS) models treat vocals and various accompaniment components equally,
Externí odkaz:
http://arxiv.org/abs/2310.04369
Publikováno v:
Zhongguo quanke yixue, Vol 27, Iss 15, Pp 1855-1860 (2024)
Background Hepatocellular carcinoma (HCC) is the main pathological type of primary liver cancer (PLC) and is closely associated with Hepatitis B virus (HBV) infection. HCC in its early stages often presents no significant symptoms and is usually disc
Externí odkaz:
https://doaj.org/article/312dfbe46227440996cc18f76c5e67bb
Publikováno v:
In Chemical Engineering Journal 15 December 2024 502
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In Clinics and Research in Hepatology and Gastroenterology October 2024 48(8)