ChatterFox’s AI technology for supervised
training has filed for a patent.
We are proud to announce that the
utility patents for ChatterFox's AI
Supervised Training Technology
have been filed and are pending
approval from the United States
Patent And Trademark Office.
ChatterFox utilizes a unique
for improving its voice
With a smart speech recognition
system, this algorithm breaks down
users' pronunciation and then
compares it with an ever-growing
database of recordings received from
other users as well as lots of expert
In a matter of only a few
milliseconds, it comes up with
detailed feedback, breaking
down the given word into letters,
and evaluates users'
pronunciation letter by letter.
As discussed earlier, ChatterFox's
supervised AI training has access
to a vast database of American
English Pronunciation and Fluency
scores and evaluations provided
by human coaches.
The algorithm is designed in a
way to improve its performance,
optimizing the feedback system
with every single data point
being added to its database.
Whenever a new recording is
added to the database, the
algorithm treats it as a new
reference point for verifying
Based on the Machine Learning nature of
ChatterFox's algorithm, it is evident that with its
exponentially growing data points, received as
students' voice recordings and human experts'
feedback on them, ChatterFox AI supervised
training technology will perform better and
more accurately with each pa
Recently ChatterFox's database of
voice recording has surpassed the
100,000th data point, meaning that
it has already processed more than
enough voice recording to give
reliable pronunciation feedback.
It is not unrealistic to say that
ChatterFox's vision for replacing
human coaches with AI, is not
sounding as ambitious as it
sounded when the startup was
founded in Washington D.C..
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