首页|Data on Machine Learning Reported by Jaycee Kaufman and Colleagues (Investigatio n of Deepfake Voice Detection Using Speech Pause Patterns: Algorithm Development and Validation)
Data on Machine Learning Reported by Jaycee Kaufman and Colleagues (Investigatio n of Deepfake Voice Detection Using Speech Pause Patterns: Algorithm Development and Validation)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New research on Machine Learning is the subject o f a report. According to news originating from Toronto, Canada, by NewsRx corres pondents, research stated, “The digital era has witnessed an escalating dependen ce on digital platforms for news and information, coupled with the advent of ‘de epfake’ technology. Deepfakes, leveraging deep learning models on extensive data sets of voice recordings and images, pose substantial threats to media authenti city, potentially leading to unethical misuse such as impersonation and the diss emination of false information.”
TorontoCanadaNorth and Central Ameri caAlgorithmsCloningCyborgsEmerging TechnologiesHealth and MedicineMa chine Learning
NETL
NSTL
