There was a time when the mere mention of bringing artificial intelligence (AI) and machine learning into the media industry brought visions of robots replacing humans. Today that is certainly not the case—although we might be getting close: I saw a robotic camera operator move the cameras for a national television news show from his converted kitchen table. On-air, viewers never saw a difference from the programs they always watch.
We move on to looking at developments in noise cancelling technology and the role it can play in achieving clarity and comfort within headsets for intercom use.
The recent news that NTV has become the first Russian TV channel to experiment with 5G broadcast, one of many such transmission tests that have been conducted over the past 18 months, illustrates that broadcasters see a bright future in the next-generation cellular data delivery system.
In the beginning, there was television. And whenever people tried to make television programmes effective video signal monitoring was an essential pre-requisite.
In real systems the issue of sampling rate conversion arises frequently but fortunately there are plenty of solutions.
Broadcasting video and audio has rapidly developed from the send-and-forget type transmission to the full duplex OTT and VOD models in recent years. The inherent bi-directional capabilities of IP networks have provided viewers with a whole load of new interactive viewing possibilities.
Successful microphones have been built working on a number of different principles. Those ideas will be looked at here.