NeuralRack v0.3.0 released
Hermann Meyer <[email protected]> Sun, 11 Jan 2026 05:56:12 +0100
| Newsgroups | gmane.linux.audio.announce |
|---|---|
| Message-ID | <4aa94eae-475c-4b82-abe9-3e5e5132c186__9852.40235911391$1768156971$gmane$org@web.de> |
This is a multi-part message in MIME format.
--------------Bz5UaU0rGSZ6xyOQ00cusZA8
Content-Type: text/plain; charset=UTF-8; format=flowed
Content-Transfer-Encoding: quoted-printable
NeuralRack is a Neural Model and Impulse Response File loader for=20
Linux/Windows available as Stand alone application, and in the Clap, LV2=
=20
and vst2 plugin format.
It supports *.nam files <https://www.tone3000.com/search?tags=3D103> and,=
=20
or *.json or .aidax files <https://www.tone3000.com/search?tags=3D23562>=
=20
by using the NeuralAudio <https://github.com/mikeoliphant/NeuralAudio>=20
engine.
For Impulse Response File Convolution it use FFTConvolver=20
<https://github.com/HiFi-LoFi/FFTConvolver>
Resampling is done by Libzita-resampler=20
<https://kokkinizita.linuxaudio.org/linuxaudio/zita-resampler/resampler.ht=
ml>
New in this release:
* implement option to move (drag and drop) EQ around
Neuralrack allow to load up to two model files and run them serial.
The input/output could be controlled separate for each model.
It features a Noise Gate, and for tone sharping a 6 band EQ could be=20
enabled.
Additional it allow to load up a separate Impulse Response file for each=
=20
output channel (stereo),
or, mix two IR-files to a two channel mono output.
Neuralrack provide a buffered Mode which introduce a one frame latency=20
when enabled.
It could move one Neural Model, or the complete processing into a=20
background thread. That will reduce the CPU load when needed.
The resulting latency will be reported to the host so that it could be=20
compensated.
ProjectPage:
https://github.com/brummer10/NeuralRack
Release Page:
https://github.com/brummer10/NeuralRack/releases/tag/v0.3.0
--------------Bz5UaU0rGSZ6xyOQ00cusZA8
Content-Type: text/html; charset=UTF-8
Content-Transfer-Encoding: 7bit
<!DOCTYPE html>
<html>
<head>
<meta http-equiv="content-type" content="text/html; charset=UTF-8">
</head>
<body>
<p>NeuralRack is a Neural Model and Impulse Response File loader for
Linux/Windows available as Stand alone application, and in the
Clap, LV2 and vst2 plugin format.</p>
<p>It supports <a href="https://www.tone3000.com/search?tags=103"
rel="nofollow">*.nam files</a> and, or <a
href="https://www.tone3000.com/search?tags=23562" rel="nofollow">*.json
or .aidax files</a> by using the <a
href="https://github.com/mikeoliphant/NeuralAudio">NeuralAudio</a>
engine.</p>
<p>For Impulse Response File Convolution it use <a
href="https://github.com/HiFi-LoFi/FFTConvolver">FFTConvolver</a></p>
<p>Resampling is done by <a
href="https://kokkinizita.linuxaudio.org/linuxaudio/zita-resampler/resampler.html"
rel="nofollow">Libzita-resampler</a></p>
<p>New in this release:</p>
<ul>
<li>implement option to move (drag and drop) EQ around</li>
</ul>
<p>Neuralrack allow to load up to two model files and run them
serial.<br>
The input/output could be controlled separate for each model.</p>
<p>It features a Noise Gate, and for tone sharping a 6 band EQ could
be enabled.<br>
Additional it allow to load up a separate Impulse Response file
for each output channel (stereo),</p>
<p>or, mix two IR-files to a two channel mono output.<br>
</p>
<p>Neuralrack provide a buffered Mode which introduce a one frame
latency when enabled.<br>
It could move one Neural Model, or the complete processing into a
background thread. That will reduce the CPU load when needed.<br>
The resulting latency will be reported to the host so that it
could be compensated.</p>
<p><br>
</p>
<p>ProjectPage:</p>
<p><a class="moz-txt-link-freetext" href="https://github.com/brummer10/NeuralRack">https://github.com/brummer10/NeuralRack</a><br>
</p>
<p>Release Page:</p>
<p><a class="moz-txt-link-freetext" href="https://github.com/brummer10/NeuralRack/releases/tag/v0.3.0">https://github.com/brummer10/NeuralRack/releases/tag/v0.3.0</a></p>
<p><br>
</p>
<p></p>
</body>
</html>
--------------Bz5UaU0rGSZ6xyOQ00cusZA8--