[Jason Warren[_2_]]

Audition's spectrum view is often more useful than the conventional amplitude-v-time
display. I make a lot of location recordings, and it's especially good for getting rid of
the inevitable thumps and clunks by using the Healing Brush tool. For pervasive
background noise--HVAC hisses and rumbles--the noise reduction tools are a better choice,
but the Healing Brush makes short work of the auditorium door slamming in the middle of
the second movement... If it is applied carefully (often several tries for me), the
results are excellent - the noise is gone but damage to the program material is slight to
inaudible.

Does anyone know how this works? How does it figure out how to stich the audio back
together?

[Peter Larsen[_3_]]

Jason Warren wrote:

Audition's spectrum view is often more useful than the conventional
amplitude-v-time display. I make a lot of location recordings, and
it's especially good for getting rid of the inevitable thumps and
clunks by using the Healing Brush tool. For pervasive background
noise--HVAC hisses and rumbles--the noise reduction tools are a
better choice, but the Healing Brush makes short work of the
auditorium door slamming in the middle of the second movement... If
it is applied carefully (often several tries for me), the results are
excellent - the noise is gone but damage to the program material is
slight to inaudible.

Try high pass filtering the section to cure prior to healing it. Beware of
the reverb in the room, some of the time it is better to leave things in.

Does anyone know how this works? How does it figure out how to stich
the audio back together?

Spectrum comparison, interpolation, filtering. Much of it is about
discontinuities so it is really "just" playing "connect the dots" or
converting something that is obviously wrong into a credible lie. Quite
possibly not all that dissimilar from unclipping. There is no way of knowing
what the actual clipped data were, but credible guesswork is possible. The
healing brush started out as "fix single click" in the context of
grammophone record - be it shellack or vinyl - restoration.

Kind regards

Peter Larsen

[Scott Dorsey]

Jason Warren wrote:

Does anyone know how this works? How does it figure out how to stich the audio back
together?

It really does an FFT and then an inverse FFT.

Take a look at the CEDAR product which this is copied from; the documentation
goes into great detail on how it works.
--scott


--
"C'est un Nagra. C'est suisse, et tres, tres precis."

[ChrisCoaster]

On May 8, 5:14*am, "Peter Larsen" wrote:
Jason Warren wrote:
Audition's spectrum view is often more useful than the conventional
amplitude-v-time display. I make a lot of location recordings, and
it's especially good for getting rid of the inevitable thumps and
clunks by using the Healing Brush tool. For pervasive background
noise--HVAC hisses and rumbles--the noise reduction tools are a
better choice, but the Healing Brush makes short work of the
auditorium door slamming in the middle of the second movement... If
it is applied carefully (often several tries for me), the results are
excellent - the noise is gone but damage to the program material is
slight to inaudible.

Try high pass filtering the section to cure prior to healing it. Beware of
the reverb in the room, some of the time it is better to leave things in.

Does anyone know how this works? How does it figure out how to stich
the audio back together?

Spectrum comparison, interpolation, filtering. Much of it is about
discontinuities so it is really "just" playing "connect the dots" or
converting something that is obviously wrong into a credible lie. Quite
possibly not all that dissimilar from unclipping. There is no way of knowing
what the actual clipped data were, but credible guesswork is possible. The
healing brush started out as "fix single click" in the context of
grammophone record - be it shellack or vinyl - restoration.

* Kind regards

* Peter Larsen
_____________________

Wise words Peter! It's also important to try to correct or prevent
issues in the field - during tracking - rather than in post.

-CC

[Jason Warren[_2_]]

In article , says...

Jason Warren wrote:

Does anyone know how this works? How does it figure out how to stich the audio back
together?

It really does an FFT and then an inverse FFT.

Take a look at the CEDAR product which this is copied from; the documentation
goes into great detail on how it works.
--scott

Thanks!