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Diffstat (limited to '2022/organizers-notebook.md')
| -rw-r--r-- | 2022/organizers-notebook.md | 5 |
1 files changed, 4 insertions, 1 deletions
diff --git a/2022/organizers-notebook.md b/2022/organizers-notebook.md index 1efa8c6e..32849311 100644 --- a/2022/organizers-notebook.md +++ b/2022/organizers-notebook.md @@ -2304,6 +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 @@ -2835,7 +2838,7 @@ Probably focus on grabbing the audio first and seeing what’s worth keeping Make a table of the form -<table id="org8d55212" border="2" cellspacing="0" cellpadding="6" rules="groups" frame="hsides"> +<table id="orgfe5543e" border="2" cellspacing="0" cellpadding="6" rules="groups" frame="hsides"> <colgroup> |