Tag

AI voice

Virtual Voice: The Secret to Boosting Sales for Entrepreneurs!
person Hồng Mùi calendar_month 08/10/2025

Virtual Voice: The Secret to Boosting Sales for Entrepreneurs!

Virtual voice is becoming the “secret weapon” for sales, livestreaming, and advertising. With AI technology, just a few simple steps are enough to create natural, multi-language voices in different styles. This allows sellers to easily persuade customers, make livestreams more engaging, and produce professional ad videos—without hiring MCs or voice talents. The technology saves costs, expands international reach, and boosts marketing performance. In the future, virtual voice will sound even more realistic, be personalized to each brand, and become an indispensable part of digital content.

How AI Voice Is Transforming the Entire Creative Content Industry
person Huyen Duong calendar_month 02/10/2025

How AI Voice Is Transforming the Entire Creative Content Industry

AI Voice is creating a silent revolution in the creative content industry. From advertising, video marketing, podcasts to education and gaming, AI Voice helps creators produce content faster, at lower cost, and reach global audiences more easily. With its ability to customize emotion, language, and style, this technology not only optimizes production but also opens a new era of creative freedom — where anyone can tell their story with a professional voice. Despite ongoing debates about naturalness and copyright, AI Voice is becoming an indispensable assistant for every modern creator.

When Someone Pays You to Record Calls — and Sell the Data to AI Companies
person Trang Nguyen calendar_month 25/09/2025

When Someone Pays You to Record Calls — and Sell the Data to AI Companies

The Neon app has sparked controversy by paying users to record phone calls and selling the data to AI companies. Despite quickly topping the App Store, Neon raises serious concerns about privacy, legality, and voice data security. This article analyzes how Neon works, the potential risks, and highlights key lessons for AI businesses: data transparency, information security, legal compliance, and building user trust.

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