摘要
由一名新闻记者兼机器人与机器学习每日新闻编辑-调查人员讨论机器学习的新发现。根据NewsRx记者在印度昌迪加尔的新闻报道，研究表明：“互联网和即时消息的扩散提高了语音通信的使用，给法律和法医环境带来了挑战。这项研究深入探讨了四种社交媒体格式（WhatsApp、Instagram、Snapchat和Telegram）对元音声学特性的影响。”对这项研究的财政支持来自Panjab大学法医科学和犯罪学研究所，昌迪加尔大学和大学赠款委员会，Nati Onal Fell金for Schedule Cast(NFSC)，新德里。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in Machine Learning. According to news reporting from Chandigarh, India, by NewsRx journalists, research stated, “The proliferation of the Internet and instant mes saging has elevated the use of voice communication, posing challenges in legal a nd forensic contexts. This study delves into the impact of four social media pla tforms (WhatsApp, Instagram, Snapchat, and Telegram) on the acoustic properties of vowel sounds.” Financial support for this research came from Institute of Forensic Science and Criminology, Panjab University, Chandigarh and University Grant Commission, Nati onal Fellowship for Schedule Casts (NFSC) , New Delhi.
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