Showing posts from 2017

Improving Real Time Communications with Machine Learning

When we talk about the applications of Artificial Intelligence / Machine Learning (AI/ML) for Real Time Communications (RTC) we can group them in two different planes:
Service Level: There are many features that can be added to a videoconference service, for example identification of the participants, augmented reality, emotion detection, speech transcription or audio translation.  These features are usually based on image and speech recognition and language processing.Infrastructure Level: There are many ways to apply ML that do not provide new features but improve the quality and/or reliability of the audio/video transmission.