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authorLeo Vivier <zaeph@zaeph.net>2022-11-02 06:11:01 +0100
committerLeo Vivier <zaeph@zaeph.net>2022-11-02 06:11:01 +0100
commitab79bbee173f08a82a211ff8e1325af42597e8f0 (patch)
tree142107eddfb31c6ecdc64a2da2b6bcd9647439d6 /2022/organizers-notebook
parent02efc6edd346ef865856f7411c56cba7c243f9f0 (diff)
downloademacsconf-wiki-ab79bbee173f08a82a211ff8e1325af42597e8f0.tar.xz
emacsconf-wiki-ab79bbee173f08a82a211ff8e1325af42597e8f0.zip
Add link to model
Diffstat (limited to '')
-rw-r--r--2022/organizers-notebook.md5
-rw-r--r--2022/organizers-notebook/index.org3
2 files changed, 7 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&rsquo;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>
diff --git a/2022/organizers-notebook/index.org b/2022/organizers-notebook/index.org
index ae8743c1..60303abd 100644
--- a/2022/organizers-notebook/index.org
+++ b/2022/organizers-notebook/index.org
@@ -1670,6 +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