diff options
| author | Leo Vivier <zaeph@zaeph.net> | 2022-11-02 06:11:01 +0100 |
|---|---|---|
| committer | Leo Vivier <zaeph@zaeph.net> | 2022-11-02 06:11:01 +0100 |
| commit | ab79bbee173f08a82a211ff8e1325af42597e8f0 (patch) | |
| tree | 142107eddfb31c6ecdc64a2da2b6bcd9647439d6 /2022/organizers-notebook | |
| parent | 02efc6edd346ef865856f7411c56cba7c243f9f0 (diff) | |
| download | emacsconf-wiki-ab79bbee173f08a82a211ff8e1325af42597e8f0.tar.xz emacsconf-wiki-ab79bbee173f08a82a211ff8e1325af42597e8f0.zip | |
Add link to model
Diffstat (limited to '')
| -rw-r--r-- | 2022/organizers-notebook.md | 5 | ||||
| -rw-r--r-- | 2022/organizers-notebook/index.org | 3 |
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’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 |