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authorLeo Vivier <zaeph@zaeph.net>2022-11-02 06:07:31 +0100
committerLeo Vivier <zaeph@zaeph.net>2022-11-02 06:07:31 +0100
commit5cf248246dd035a97395b7fff2a53846f954b6ad (patch)
treec732cf50173e45a7e09a677104262c83e54afb5b /2022
parent334808c1d14590a527bb8d431888965f46a87975 (diff)
downloademacsconf-wiki-5cf248246dd035a97395b7fff2a53846f954b6ad.tar.xz
emacsconf-wiki-5cf248246dd035a97395b7fff2a53846f954b6ad.zip
Add links to media and slight rewords
Diffstat (limited to '2022')
-rw-r--r--2022/organizers-notebook.md10
-rw-r--r--2022/organizers-notebook/index.org8
2 files changed, 11 insertions, 7 deletions
diff --git a/2022/organizers-notebook.md b/2022/organizers-notebook.md
index 5da0d4c2..668ebcfb 100644
--- a/2022/organizers-notebook.md
+++ b/2022/organizers-notebook.md
@@ -2243,7 +2243,7 @@ We’ve simplified the process down to these steps:
You might want to increase the size of the waveform by pulling on the
bottom of the bottom of the track.
- <audacity-demo-resize.webm>
+ [audacity-demo-noise-reduction.webm](https://media.emacsconf.org/misc/audacity-demo-noise-reduction.webm)
2. Find a moment of quiet in the video, and select it.
@@ -2260,6 +2260,8 @@ We’ve simplified the process down to these steps:
effect and preview it to test your settings. The default are usually
enough (Noise reduction (dB): 12, Sensitivity: 6.00, Frequency smoothing
(bands): 3).
+
+ [audacity-demo-noise-reduction.webm](https://media.emacsconf.org/misc/audacity-demo-noise-reduction.webm)
6. Tools → Apply Macro → Alpha
@@ -2272,7 +2274,7 @@ We’ve simplified the process down to these steps:
Normalize:ApplyGain="1" PeakLevel="-3" RemoveDcOffset="1" StereoIndependent="1"
Compressor:AttackTime="0.1" NoiseFloor="-50" Normalize="1" Ratio="2" ReleaseTime="1" Threshold="-30" UsePeak="0"
-1. Save the file to disk with libopus (.opus format)
+1. Export → Export Audio… → Opus Files (.opus format)
Use the following settings:
> Bit Rate: 64 kbps
@@ -2282,7 +2284,7 @@ We’ve simplified the process down to these steps:
> Frame Duration: 20 ms
> Cutoff: Disabled
-![img](audacity-export-settings.png)
+[audacity-export-settings.png](https://media.emacsconf.org/misc/audacity-export-settings.png)
#### Model-based denoising filter
@@ -2832,7 +2834,7 @@ Probably focus on grabbing the audio first and seeing what&rsquo;s worth keeping
Make a table of the form
-<table id="orgef3b05a" border="2" cellspacing="0" cellpadding="6" rules="groups" frame="hsides">
+<table id="orge1857c7" border="2" cellspacing="0" cellpadding="6" rules="groups" frame="hsides">
<colgroup>
diff --git a/2022/organizers-notebook/index.org b/2022/organizers-notebook/index.org
index f3dd6aa8..1927a0fc 100644
--- a/2022/organizers-notebook/index.org
+++ b/2022/organizers-notebook/index.org
@@ -1606,7 +1606,7 @@ We’ve simplified the process down to these steps:
You might want to increase the size of the waveform by pulling on the
bottom of the bottom of the track.
- [[file:audacity-demo-resize.webm]]
+ [[https://media.emacsconf.org/misc/audacity-demo-noise-reduction.webm][audacity-demo-noise-reduction.webm]]
2. Find a moment of quiet in the video, and select it.
@@ -1624,6 +1624,8 @@ We’ve simplified the process down to these steps:
enough (Noise reduction (dB): 12, Sensitivity: 6.00, Frequency smoothing
(bands): 3).
+ [[https://media.emacsconf.org/misc/audacity-demo-noise-reduction.webm][audacity-demo-noise-reduction.webm]]
+
6. Tools → Apply Macro → Alpha
Before you can apply the Alpha macro, you need to save its content to
@@ -1637,7 +1639,7 @@ Normalize:ApplyGain="1" PeakLevel="-3" RemoveDcOffset="1" StereoIndependent="1"
Compressor:AttackTime="0.1" NoiseFloor="-50" Normalize="1" Ratio="2" ReleaseTime="1" Threshold="-30" UsePeak="0"
#+end_src
-7. Save the file to disk with libopus (.opus format)
+7. Export → Export Audio… → Opus Files (.opus format)
Use the following settings:
#+begin_quote
@@ -1649,7 +1651,7 @@ Frame Duration: 20 ms
Cutoff: Disabled
#+end_quote
-[[file:audacity-export-settings.png]]
+ [[https://media.emacsconf.org/misc/audacity-export-settings.png][audacity-export-settings.png]]
**** Model-based denoising filter
If you can’t manage to get a good result with Audacity, chances are it’s