<s>
Apps	B-Application
to	I-Application
analyse	I-Application
COVID-19	I-Application
sounds	I-Application
are	O
mobile	B-Application
software	I-Application
applications	I-Application
designed	O
to	O
collect	O
respiratory	O
sounds	O
and	O
aid	O
diagnosis	O
in	O
response	O
to	O
the	O
COVID-19	O
pandemic	O
.	O
</s>
<s>
In	O
this	O
context	O
,	O
advanced	O
artificial	B-Application
intelligence	I-Application
techniques	O
are	O
being	O
considered	O
as	O
tools	O
in	O
aiding	O
our	O
response	O
to	O
global	O
health	O
crisis	O
.	O
</s>
<s>
Other	O
COVID-19	B-Application
apps	I-Application
which	O
offer	O
solutions	O
for	O
user	O
tracking	O
have	O
been	O
developed	O
.	O
</s>
<s>
At	O
the	O
same	O
time	O
a	O
number	O
of	O
approaches	O
which	O
tries	O
to	O
use	O
respiratory	O
sounds	O
and	O
artificial	B-Application
intelligence	I-Application
to	O
understand	O
if	O
the	O
disease	O
can	O
be	O
diagnosed	O
have	O
been	O
proposed	O
.	O
</s>
<s>
The	O
potential	O
for	O
using	O
speech	O
and	O
sound	O
analysis	O
by	O
artificial	B-Application
intelligence	I-Application
to	O
help	O
in	O
this	O
scenario	O
,	O
by	O
surveying	O
which	O
types	O
of	O
related	O
or	O
contextually	O
significant	O
phenomena	O
can	O
be	O
automatically	O
assessed	O
from	O
speech	O
or	O
sound	O
has	O
been	O
recently	O
overviewed	O
.	O
</s>
<s>
These	O
included	O
a	O
low	O
complexity	O
,	O
automated	O
recognition	O
and	O
diagnostic	O
tool	O
for	O
screening	O
respiratory	O
infections	O
that	O
utilizes	O
convolutional	B-Architecture
neural	I-Architecture
networks	I-Architecture
(	O
CNNs	B-Architecture
)	O
to	O
detect	O
cough	O
within	O
environment	O
audio	O
and	O
diagnose	O
three	O
potential	O
illnesses	O
(	O
i.e.	O
</s>
