We continue our discussion of broadcast audio workflow with multi-award winner Robert Edwards. We look at the many challenges that come when a live audience is added to the broadcast mix.
So far in this series of articles the focus has been on the underlying requirements for successful audio over IP connectivity within a broadcast facility. The connectivity can be considered to be local; it is over a short distance, so the latency is low and it’s not a problem for the signal bandwidth to be high. In this situation the broadcaster has complete control over the network, including switch configuration and the routing of traffic over the network, so signal bandwidth and latency can be guaranteed.
Viewers are making it clear that they want to watch live events from their mobile devices as well as from the comfort of their own homes. Although internet streaming has given us a hint of what is achievable, its inability to scale to meet viewing demands is its Achilles’ heel leaving viewers frustrated and in need of a better solution.
Lithium batteries are all the rage on account of their low weight and high capacity. But how good are they really?
This free 82-page eBook is your definitive guide to IP security for broadcasters. Written by our Editor Tony Orme, it gathers 12 original independent articles that examine the complex issues of security, explain the terminology and IT standards involved, and explore techniques available to help broadcasters secure their IP infrastructure. This book is vital reading – download your free copy now.
Modern broadcast facilities adopting video and audio over IP have found themselves working with thousands, or tens of thousands, of IP streams. Expecting humans to keep track of all these flows, monitor their quality and efficiently fault find is a virtual impossibility.
Compression is the ultimate enabling technology behind broadcasting. Without it, life would be very difficult indeed. In this new series, the whole topic will be explored at some depth.
In the final article in this series, we look at datasets, their importance and why GPUs are critical for machine learning.
