the data may be run and my name is still from the middle of that
and today i write it is worth
i think is that is high salaries keynote speech the in their everybody always racist
and i spoofing attacks because of cs program
and the a lot of groups have proposed a of beer
approach is to improve
s
on the other hand
we've all got
almost looking at a rate eer out speakers
and we propose that we will always that the nist detection frame before
voice that it was entirety
we usually you
can say that the goal is to classify an input sample rates at the by
our actual human or a sprint be about the speaker
two realizable in the framework we can well known scandal now everything is a vector
q one
we already proposed to pop noise dictionary it's and this time we propose a fundamental
from a in extreme in from experience there is that's a the conventional way to
be most around a space is then improve
robustness
thank