Video Transcription
Why Choose LumenVox - Part Two
Welcome to part two of the Why Choose LumenVox series here at LumenVox.com. We will
discuss why you should pick LumenVox versus one of our competitors to be your speech
recognition provider. You'll remember in part one we covered some of the distinct
differences in the LumenVox philosophy, how we want to be your partner, not your
competitor, and how that differs from some of the other speech vendors out there.
In this video, I am going to tell you how this philosophy translates into our actual
business model, how we sell licenses, and also some of the technology we give you and
what you get when you pay for licenses.
Our competitors are expensive, often two or three times our price.
To get started, the basic bottom line thing is cost. It's a big differentiator because
our competitors are about two or three times the price of LumenVox in most situations. So
that means they better be giving a whole heck of a lot more if they're going to charge you
two or three times more, and we just don't think that's the case.
We talked about in part one how accuracy is pretty similar across the board, so if
you're getting roughly the same accuracy, why would you pay two or three times the price?
The fact is they're giving less, because we give you a lot more that we will talk about in
just a moment in regards to the technology, some extra features we include, and we charge
less for it. Therefore, when you pick our competitors you're paying more for less product
— that's a bad business decision.
Our licensing is simple.
LumenVox licensing is simple and straightforward. We have two license types and each
license is going to give you a single interaction with the Speech Engine. So if you have
one person talking to the Speech Engine, you use one license. If you have five people
talking to it, you need five licenses, and if one person hangs up that one license goes
back to the pool, pretty straightforward.
We have two tiers. One is what we call our lite license and it limits the number of
words that can be active at a time. This means it's fine if you have a small application.
It doesn't need a whole bunch of commands at any given prompt and it could be five hundred
words at one prompt and a different five hundred words at the next.
The full license is unrestricted up to the point of what's technically feasible and that
changes a bit. The number of words that are possible with a full license depends on your
computer hardware. Right now, it's in the tens of thousands of words that can be recognized
with a full license. We would eventually like to have it up in the hundreds of thousands of
words for you.
The license pricing is pretty straightforward. The full license cost has a retail price
of $595 and the lite license costs a retail price of $245. These are both retail prices, if
you're buying as a reseller, buying in bulk, you can talk to us about volume pricing.
If you want, there is an optional licensing fee you can pay per year after the first year
that gives you access to upgrades. We put up new updates every year with better accuracy,
new features, better performance, and it's about fifteen percent per year of the initial
licensing fee. This is a good value considering we've been told that our competitors charge
as much for their maintenance as we do for our initial port.
Therefore, buying one license from LumenVox is about the equivalent of paying one year of
updates with the competitor and our updates are just fifteen percent per year. This means
after the first year you're saving 85% every single year. What's that do for your total cost
of ownership for the LumenVox speech solution versus some of our competitors?
Like everything about LumenVox our Licensing is flexible.
Our licensing system isn't set in stone. Like everything at LumenVox, we're flexible about
this. We're a small company and we like to think of our selves as agile, adaptable and flexible.
So if you need something different than our licensing system provides, we can help. Let's
say you need pay per decode, you have some burst demands, some peak volume, then it goes down
and you want to pay for every time you use it rather than just a flat fee.
Talk to us and we can work with that or a subscription model, maybe you want to pay every
month or every quarter, let us know. Talk to business development and we can work something
out for you. We will build a custom solution for you if that's what it takes — a business
model that fits both of our needs and I'm confident we can do that for you.
Need more languages?
In terms of technology, we do provide quite a bit more than our competitors as well. Included
with the license cost all of our languages that we support. Therefore, for that single license
price, you get every language. That means you get U.S. English, U.K. English, Australian English,
Mexican Spanish, Colombian Spanish, and you also get Canadian French.
That's a good mixture of languages that cover all of America and other parts of the world for
a single price. This means if you have an application that's successful in the U.K., you can bring
it over to North America where you can turn on U.S. English, Mexican Spanish, and Canadian French.
Now you've got, for the same licensing cost, you've just moved it to a different continent and
supporting a much broader base of users.
Your applications can grow without your budgets needing to grow and that's a really key thing
we think.
LumenVox Architecture
In fact we are all about helping you scale. Our entire architecture and infrastructure is
designed from the ground up to help you change the size of your application. We use a client-server
architecture that's sophisticated. We have a very thin client that talks to a process called a
speech server and this speech server could exist on the same box as the speech client or it could
exist on a different machine and they can talk over the network.
The speech client will traditionally reside on your application server or your voice platform,
that kind of thing, and it sends audio and grammars to the speech server. The speech server does
the heavy speech recognition and it's actually that speech server that takes up allot of CPU time
and memory. Speech recognition is computationally expensive.
The cool thing is you don't necessarily want to bog down your voice platform with all your
speech recognition requests so you move to a new box. Then your application is successful and it
grows, if you need another speech recognition server you can just plug it right in or a dozen. The
client is smart enough to know that I have list of speech servers to send speech requests to and it
does some load balancing.
This way, no single server is overloaded or overburdened, which is really nice and also says if
one of these guys goes down I can go ahead and not send them anything until it comes back up. You
get redundancy, load balancing, scalability, all built right into the software.
If you wanted to, you could have yourself a New York office, a L.A. office, and they're going to
talk to each other over the Internet and send requests. There's also an office in Tokyo and if its
server failed it's automatically going to switch over to New York servers for a temporary time and
all this kind of stuff. All that's included at the same price, complicated network infrastructure
and distributed architecture is all there for you.
As our partner, we want you to be successful.
The final bit of technology we provide, which I think is the absolute coolest thing we have,
is something called the Speech Tuner. It's an award-winning tool that our competition really
doesn't have because I think in large part they want to sell you tuning as a professional service.
They want to charge you after the fact, help you make your applications better.
We give you the tools to be successful so that you can get this kind of stuff done without
paying an arm and a leg. What happens is that every time a caller calls into the system and says
something and gets recognized, we save off what the caller said in a little file. With that, we
save what the Engine recognized. Now you can use the Tuner to load up all these files, listen to
them and hear what your callers are saying, and look and see what was right and what was wrong.
Once you start transcribing the audio, you get reports and you can see, "Ah, my average
accuracy was this, my average confidence scores were these." You will get all sorts of neat
reports back. The powerful thing comes once I have these reports and I've identified some problems,
I can say, "This word here is constantly getting misrecognized. What can I do to fix that?"
Maybe I need to alter my grammar, add in a different pronunciation or I need to change all my
prompts and the grammars and add in new options. Maybe my volume is too low and I need to play with
my Engine sensitivity settings so it will listen to this lower volume.
You can change all this kind of stuff inside the Tuner, and click a single button and run a new
test. Now it's going to take this audio that we've already collected from our live production
systems and it's going to run it through the Speech Engine again using the new grammars and the
new settings. This process tells you now your accuracy is this, it was this, and here's the change
and here's what is now right, now wrong and what the difference is. Therefore, you could test
changes to a production system using real live data without altering that production system all
from a development environment.
That's key because speech recognition is all about doing these kind of tuning fixes. These little
tweaks to an application can get big performance increases. That's how Redmond and General Motors got
that 42% bump in accuracy that we talked about last time. Because they did a lot of tuning, they
worked with us, they used our Speech Tuner and we give this to you free of charge. You buy a license
for the Engine, you get a Speech Tuner, and you're free to use it.
Okay that wraps up this section. In the next video, we're going to conclude our talks by looking
at some customer testimonials and some of the other great resources that we make available for you
for free because we want you to be successful. Thank you.