Robotics & Machine Learning Daily News2024,Issue(Jul.3) :95-96.

Data on Machine Learning Reported by Jaycee Kaufman and Colleagues (Investigatio n of Deepfake Voice Detection Using Speech Pause Patterns: Algorithm Development and Validation)

Jaycee Kaufman及其同事报告的机器学习数据(使用语音暂停模式进行深度假语音检测的研究:算法开发和验证)

Robotics & Machine Learning Daily News2024,Issue(Jul.3) :95-96.

Data on Machine Learning Reported by Jaycee Kaufman and Colleagues (Investigatio n of Deepfake Voice Detection Using Speech Pause Patterns: Algorithm Development and Validation)

Jaycee Kaufman及其同事报告的机器学习数据(使用语音暂停模式进行深度假语音检测的研究:算法开发和验证)

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摘要

一位新闻记者兼机器人与机器学习的工作人员新闻编辑每日新闻-机器学习的新研究是一篇报道的主题。根据NewsRx Corres Pondents的《来自加拿大多伦多的新闻》报道,研究表明,“数字时代见证了对新闻和信息数字平台的日益依赖,再加上‘假’技术的出现。深度假货利用基于大量录音和图像数据集的深度学习模型,对媒体权威构成了巨大威胁。可能导致不道德的滥用,如冒充和散布虚假信息。

Abstract

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.”

Key words

Toronto/Canada/North and Central Ameri ca/Algorithms/Cloning/Cyborgs/Emerging Technologies/Health and Medicine/Ma chine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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