
2| BACKGROUND AND OVERVIEW
TVC-15 Installation and User’s Guide Version 2.0 • January 2018
Furthermore, masking requires the code symbol to be significantly soer than the masking
audio. As your content gets soer, the encoding hardware has to make the codes soer.
Environmental noise around the listener can interfere with those soer codes, even if
your listeners don’t mind the noise: Humans are very good at tracking meaningful voice
or music in a noisy environment. Meters, unfortunately, aren’t as smart: It’s possible that
a watermark signal, sent by the encoder at levels where it wouldn’t be annoying in a quiet
environment, doesn’t get detected by panelists’ meters in the real, noisy world.
Bottom line
The viability of your station’s watermarks is constantly varying, depending on your
programming, the panelists’ environments, and other variables. Changes can happen as
quickly as individual syllables in an announcer’s voice, or traffic noises on the highway.
Having good tools—ones that help you understand the entire electronic measurement
ecosystem—is essential to your station’s competitive picture.
What can be done?
25-Seven put years of research and testing into the technical issues with watermarking,
and our groundbreaking Voltair processor works with your station’s encoder to enhance
watermarking codes as they’re being generated. Voltair’s enhancement can be varied
by the station to accommodate different programming styles, and controlled by station
automation for different dayparts.
Many stations have found Voltair effective to help make their electronically derived ratings
a beer match for the audiences they know they’ve got, and more reliable during hard-to-
encode programming.
But to really manage this kind of problem, you have to be able to quantify it.
Both Voltair and hardware provided by ratings agencies include ways to measure how
encodable a program stream is. Voltair’s can be particularly helpful, with a minute-by-
minute front panel display of code reliability, techniques to reduce randomness when
calibrating Enhancement seings against ratings reports, and optional downloadable
history reports and Excel graphs of a station’s coding activity.
But neither system can give you moment-by-moment measurements of how well each
element in your programming supports watermarks.
And neither system takes this information to the next level, actually adjusting
enhancement levels in real-time to compensate for the wide variety of sounds that keep a
radio station interesting.
You need to understand the entire electronic rating system. You need tools that can quickly
and precisely measure how it works. And you need efficient ways to apply this knowledge
so it can optimize your station’s product.
That’s why we developed TVC-15.