Translated with AI from the Russian original.

The MTS Link platform for business communications, training and collaboration has launched a real-time speech-to-text transcription feature. The technology is based on an LLM model from MTS AI.

Artificial intelligence converts the speech of participants into text in real time and displays it in the online call window. The function is based on the principle of subtitles: the words on the screen are synchronized with the audio track.

Currently, speech recognition is only available in Russian. The company plans to introduce subtitles in English and other foreign languages, as well as a streaming translation function.

Dmitry Kryukov, Head of Machine Learning at MTS Link, said:

Streaming transcription is a technology that has long become part of the everyday digital environment: we are used to subtitles in videos and social networks. But it has a special role to play in work communications. It helps those who find it difficult to easily understand oral speech. Our task is to create tools that make online communication accessible to everyone. Artificial intelligence simplifies this task and speeds up the process of its implementation: the technology provides high transcription accuracy and helps to perceive speech without distortion. As a result, participants can focus on the main thing - the content of the conversation.

AI subtitles are available to MTS Link corporate users upon request to a personal manager and require an additional fee to the main tariff.

Now on the front page

Articles

Why even a PC case should be branded

In Russian conditions, the popularity of PCs assembled by small local companies or in-house corporate IT departments continues to grow rapidly. Such solutions have historically been more popular in Russia than in other developed markets, but today new nuances have emerged in the segment's evolution, which we discussed with Karim LASKRI, Business Director of FSP Group in the CIS region.

News

Storage you can trust in the background: Basis SDS 2.3 released with scheduled diagnostics and an observer role

A storage system is the only infrastructure layer where an error cannot be “rolled back”: neither a reboot nor a configuration rollback will restore lost data. That is why users expect predictability from software-defined storage rather than just new features—ensuring background processes finish what they started, and administrators can see the cluster status not only “right now,” but also over time.