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| -rw-r--r-- | 2022/organizers-notebook.md | 44 | ||||
| -rw-r--r-- | 2022/organizers-notebook/index.org | 31 |
2 files changed, 44 insertions, 31 deletions
diff --git a/2022/organizers-notebook.md b/2022/organizers-notebook.md index 88c13656..32849311 100644 --- a/2022/organizers-notebook.md +++ b/2022/organizers-notebook.md @@ -2242,26 +2242,28 @@ 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-noise-reduction.webm](https://media.emacsconf.org/misc/audacity-demo-noise-reduction.webm) -<audacity-demo-resize.webm> - -1. Find a moment of quiet in the video, and select it. +2. Find a moment of quiet in the video, and select it. We ask our speakers to include 5 seconds of quiet at the beginning or end of their prerecs, but even if they don’t, it’s relatively. -2. Effects → Noise Reduction → Get Noise Profile +3. Effects → Noise Reduction → Get Noise Profile -3. Select → All +4. Select → All -4. Effects → Noise Reduction → OK +5. Effects → Noise Reduction → OK You can select a spoken portion of the track before applying the 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) -5. Tools → Apply Macro → Alpha +6. Tools → Apply Macro → Alpha Before you can apply the Alpha macro, you need to save its content to disk and import it via Tools → Macro Manager → Import. @@ -2272,17 +2274,18 @@ 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 -> VBR Mode: On -> Compression: 10 -> Application: Audio -> Frame Duration: 20 ms -> Cutoff: Disabled - - + + [audacity-export-settings.png](https://media.emacsconf.org/misc/audacity-export-settings.png) + + > Bit Rate: 64 kbps + > VBR Mode: On + > Compression: 10 + > Application: Audio + > Frame Duration: 20 ms + > Cutoff: Disabled #### Model-based denoising filter @@ -2301,6 +2304,9 @@ this means a model that minimizes background noise and maximizes clear voices (the speakers’). This is the model we’ve been using: + +[audio-denoiser-model-mp.rnnn](https://media.emacsconf.org/misc/audio-denoiser-model-mp.rnnn) (download link) + Source: [rnnoise-models](https://github.com/GregorR/rnnoise-models), Model: [marathon-prescription](https://raw.githubusercontent.com/GregorR/rnnoise-models/master/marathon-prescription-2018-08-29/mp.rnnn) You should always apply the filter on the original’s audio, as opposed @@ -2314,7 +2320,7 @@ Make sure to modify the `DENOISER` variable and adapt input/output. DENOISER="/path/to/audio-denoiser-model-mp.rnnn" input="original.opus" output="denoised.opus" - ffmpeg -i "$input" -af "$DENOISER" "$output" + ffmpeg -i "$input" -af "arnndn=m=$DENOISER" "$output" There’s no need to customize the libopus export information; the default is more than enough for human-speech. @@ -2832,7 +2838,7 @@ Probably focus on grabbing the audio first and seeing what’s worth keeping Make a table of the form -<table id="orgdacd95f" border="2" cellspacing="0" cellpadding="6" rules="groups" frame="hsides"> +<table id="orgfe5543e" 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 1b431945..60303abd 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 @@ -1637,19 +1639,21 @@ 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 -Bit Rate: 64 kbps -VBR Mode: On -Compression: 10 -Application: Audio -Frame Duration: 20 ms -Cutoff: Disabled -#+end_quote + [[https://media.emacsconf.org/misc/audacity-export-settings.png][audacity-export-settings.png]] + + #+begin_quote + Bit Rate: 64 kbps + VBR Mode: On + Compression: 10 + Application: Audio + Frame Duration: 20 ms + Cutoff: Disabled + #+end_quote -[[file:audacity-export-settings.png]] **** Model-based denoising filter If you can’t manage to get a good result with Audacity, chances are it’s @@ -1666,6 +1670,9 @@ this means a model that minimizes background noise and maximizes clear voices (the speakers’). This is the model we’ve been using: + +[[https://media.emacsconf.org/misc/audio-denoiser-model-mp.rnnn][audio-denoiser-model-mp.rnnn]] (download link) + Source: [[https://github.com/GregorR/rnnoise-models][rnnoise-models]], Model: [[https://raw.githubusercontent.com/GregorR/rnnoise-models/master/marathon-prescription-2018-08-29/mp.rnnn][marathon-prescription]] You should always apply the filter on the original’s audio, as opposed @@ -1680,7 +1687,7 @@ Make sure to modify the ~DENOISER~ variable and adapt input/output. DENOISER="/path/to/audio-denoiser-model-mp.rnnn" input="original.opus" output="denoised.opus" -ffmpeg -i "$input" -af "$DENOISER" "$output" +ffmpeg -i "$input" -af "arnndn=m=$DENOISER" "$output" #+end_src There’s no need to customize the libopus export information; the default |