all AI news
PSVRF: Learning to restore Pitch-Shifted Voice without reference. (arXiv:2210.02731v1 [cs.SD])
Oct. 7, 2022, 1:11 a.m. | Yangfu Li, Xiaodan Lin, Jiaxin Yang
cs.LG updates on arXiv.org arxiv.org
Pitch scaling algorithms have a significant impact on the security of
Automatic Speaker Verification (ASV) systems. Although numerous anti-spoofing
algorithms have been proposed to identify the pitch-shifted voice and even
restore it to the original version, they either have poor performance or
require the original voice as a reference, limiting the prospects of
applications. In this paper, we propose a no-reference approach termed
PSVRF$^1$ for high-quality restoration of pitch-shifted voice. Experiments on
AISHELL-1 and AISHELL-3 demonstrate that PSVRF can restore …
More from arxiv.org / cs.LG updates on arXiv.org
Sliced Wasserstein with Random-Path Projecting Directions
2 days, 2 hours ago |
arxiv.org
Learning Extrinsic Dexterity with Parameterized Manipulation Primitives
2 days, 2 hours ago |
arxiv.org
The Un-Kidnappable Robot: Acoustic Localization of Sneaking People
2 days, 2 hours ago |
arxiv.org
Jobs in AI, ML, Big Data
Data Engineer
@ Lemon.io | Remote: Europe, LATAM, Canada, UK, Asia, Oceania
Artificial Intelligence – Bioinformatic Expert
@ University of Texas Medical Branch | Galveston, TX
Lead Developer (AI)
@ Cere Network | San Francisco, US
Research Engineer
@ Allora Labs | Remote
Ecosystem Manager
@ Allora Labs | Remote
Founding AI Engineer, Agents
@ Occam AI | New York