Historically, ATSC has been used as one of the main standard for terrestrial television. Its impact on local communities through the carriage of localized news and more vital information through EAS is undeniable. Today, the majority of viewers of OTA content can be divided into two categories: the cord-cutters, looking to cut cost without compromising their access to information, and the local communities, who follow their local TV station due to content created for them by the local station’s crew . 

Through the use of LLMs (Large Language Models), we can now add additional audio & subtitling tracks by doing speech-to-speech & speech-to-text that would correspond to the linguistic needs of the local communities around an ATSC 3.0 station. 

In this paper, we will present our tests performed at a local ATSC station, looking into the results along with the (legal and technical) challenges of adding using AI-based speech-to-speech & speech-to-text technology for ASTC 3.0.