Ratatouille.lv2 v0.9.2

Ratatouille is a Neural Model loader and mixer for Linux/Windows.

This Release fix a possible crash in the included File Browser, fix following symlinks in the File Browser and update to the latest NAM core release 2.0.

Ratatouille allow to load up to two neural model files and mix there output. Those models could be *.nam files or *.json or .aidax files. So you could blend from clean to crunch for example, or, go wild and mix different amp models, or mix a amp with a pedal simulation.

Ratatouille using parallel processing to process the second neural model and the second IR-File to reduce the dsp load.

The "Delay" control could add a small delay to the second model to overcome phasing issues, or to add some color/reverb to the sound.

To round up the sound it allow to load up to two Impulse Response files and mix there output as well. You could try the wildest combinations, or, be conservative and load just your single preferred IR-File.

Each neural model may have a different expected Sample Rate, Ratatouille will resample the buffer to match that.
Impulse Response Files will be resampled on the fly to match the session Sample Rate.

Attached been ready to use binaries, note please that Ratatouille.lv2-v3-v0.9.2-linux-x86_64.tar.xz is a fully optimized version using the x86-64-v3 optimisation, you could check if your system supports that by running the command
/usr/lib64/ld-linux-x86-64.so.2 --help 2>/dev/null | grep 'x86-64-v3 (supported'
if that return nothing, your system can't use this, in that case you should choose Ratatouille.lv2-v0.9.2-linux-x86_64.tar.xz

To build from source, please use Ratatouille.lv2-v0.9.2-src.tar.xz as only that contain the needed submodules.

Ratatouille.lv2 v0.9.1

Ratatouille is a Neural Model loader and mixer for Linux/Windows.

This release fix issues some people have with the optimisation flags not compatible with there CPU /system. Now, the Ratatouille.lv2-v0.9.1-linux-x86_64.tar.xz comes completely without any optimisation applied. It also fix cross compilation from source and provide a arm64 binary.

Ratatouille allow to load up to two neural model files and mix there output. Those models could be *.nam files or *.json or .aidax files. So you could blend from clean to crunch for example, or, go wild and mix different amp models, or mix a amp with a pedal simulation.

Ratatouille using parallel processing to process the second neural model and the second IR-File to reduce the dsp load.

The "Delay" control could add a small delay to the second model to overcome phasing issues, or to add some color/reverb to the sound.

To round up the sound it allow to load up to two Impulse Response files and mix there output as well. You could try the wildest combinations, or, be conservative and load just your single preferred IR-File.

Each neural model may have a different expected Sample Rate, Ratatouille will resample the buffer to match that.
Impulse Response Files will be resampled on the fly to match the session Sample Rate.

Attached been ready to use binaries, note please that Ratatouille.lv2-v3-v0.9.1-linux-x86_64.tar.xz is a fully optimized version using the x86-64-v3 optimisation, you could check if your system supports that by running the command
/usr/lib64/ld-linux-x86-64.so.2 --help 2>/dev/null | grep 'x86-64-v3 (supported'
if that return nothing, your system can't use this, in that case you should choose Ratatouille.lv2-v0.9.1-linux-x86_64.tar.xz

To build from source, please use Ratatouille.lv2-v0.9.1-src.tar.xz as only that contain the needed submodules.

Ratatouille.lv2 v0.9

Ratatouille is a Neural Model loader and mixer for Linux/Windows.

This release add separate Input control for each Model, makes the delay a delta delay, means it allow to delay the first or the second Model, as needed, and implement support for the 'ctrl' key to allow sample accurate settings for the delay to solve phasing issues between the Models.

Ratatouille allow to load up to two neural model files and mix there output. Those models could be *.nam files or *.json or .aidax files. So you could blend from clean to crunch for example, or, go wild and mix different amp models, or mix a amp with a pedal simulation.

Ratatouille using parallel processing to process the second neural model and the second IR-File to reduce the dsp load.

The "Delay" control could add a small delay to the second model to overcome phasing issues, or to add some color/reverb to the sound.

To round up the sound it allow to load up to two Impulse Response files and mix there output as well. You could try the wildest combinations, or, be conservative and load just your single preferred IR-File.

Each neural model may have a different expected Sample Rate, Ratatouille will resample the buffer to match that.
Impulse Response Files will be resampled on the fly to match the session Sample Rate.

Attached been ready to use binaries, note please that Ratatouille.lv2-v3-v0.9-linux-x86_64.tar.xz is a fully optimized version using the x86-64-v3 optimisation, you could check if your system supports that by running the command
/usr/lib64/ld-linux-x86-64.so.2 --help 2>/dev/null | grep 'x86-64-v3 (supported'
if that return nothing, your system can't use this, in that case you should choose Ratatouille.lv2-v0.9-linux-x86_64.tar.xz

To build from source, please use Ratatouille.lv2-v0.9-src.tar.xz as only that contain the needed submodules.

Ratatouille.lv2 v0.8

Ratatouille is a Neural Model loader and mixer for Linux/Windows.

This release does several small fixes.

Ratatouille allow to load up to two neural model files and mix there output. Those models could be *.nam files or *.json or .aidax files. So you could blend from clean to crunch for example, or, go wild and mix different amp models, or mix a amp with a pedal simulation.

Ratatouille using parallel processing to process the second neural model and the second IR-File to reduce the dsp load.

The "Delay" control could add a small delay to the second model to overcome phasing issues, or to add some color/reverb to the sound.

To round up the sound it allow to load up to two Impulse Response files and mix there output as well. You could try the wildest combinations, or, be conservative and load just your single preferred IR-File.

Each neural model may have a different expected Sample Rate, Ratatouille will resample the buffer to match that.
Impulse Response Files will be resampled on the fly to match the session Sample Rate.

Attached been ready to use binaries, note please that Ratatouille.lv2-v3-v0.8-linux-x86_64.tar.xz is a fully optimized version using the x86-64-v3 optimisation, you could check if your system supports that by running the command
/usr/lib64/ld-linux-x86-64.so.2 --help 2>/dev/null | grep 'x86-64-v3 (supported'
if that return nothing, your system can't use this, in that case you should choose Ratatouille.lv2-v0.8-linux-x86_64.tar.xz

To build from source, please use Ratatouille.lv2-v0.8-src.tar.xz as only that contain the needed submodules.

Ratatouille.lv2 v0.7

Ratatouille is a Neural Model loader and mixer for Linux/Windows.

This release implement parallel processing, means you could run two models while the dsp load didn't increase.
It also implement IR-File normalisation, means, the loudness wouldn't change when switch/load IR-Files.

Ratatouille allow to load up to two neural model files and mix there output. Those models could be *.nam files or *.json or .aidax files. So you could blend from clean to crunch for example, or, go wild and mix different amp models, or mix a amp with a pedal simulation.

The "Delay" control could add a small delay to the second model to overcome phasing issues, or to add some color/reverb to the sound.

To round up the sound it allow to load up to two Impulse Response files and mix there output as well. You could try the wildest combinations, or, be conservative and load just your single preferred IR-File.

Each neural model may have a different expected Sample Rate, Ratatouille will resample the buffer to match that.
Impulse Response Files will be resampled on the fly to match the session Sample Rate.

Attached been ready to use binaries, note please that Ratatouille.lv2-v3-v0.7-linux-x86_64.tar.xz is a fully optimized version using the x86-64-v3 optimisation, you could check if your system supports that by running the command
/usr/lib64/ld-linux-x86-64.so.2 --help 2>/dev/null | grep 'x86-64-v3 (supported'
if that return nothing, your system can't use this, in that case you should choose Ratatouille.lv2-v0.7-linux-x86_64.tar.xz

To build from source, please use Ratatouille.lv2-v0.7-src.tar.xz as only that contain the needed submodules.

Ratatouille.lv2 v0.6

Ratatouille is a Neural Model loader and mixer for Linux/Windows.

This release implement easier File switching. It's now possible to switch the selected files via mouse wheel, via mouse button click and via keyboard up/down keys. Right mouse button click will pop up the file-list and allow to select a file directly.
Also, it implement lighter CPU usage for convolution (IR-File), on non power-of-two buffer sizes, by using the multi threaded FFTConvolver engine. Beside that the GUI was a bit overworked.

Ratatouille allow to load up to two neural model files and mix there output. Those models could be *.nam files or *.json or .aidax files. So you could blend from clean to crunch for example, or, go wild and mix different amp models, or mix a amp with a pedal simulation.

The "Delay" control could add a small delay to the second model to overcome phasing issues, or to add some color/reverb to the sound.

To round up the sound it allow to load up to two Impulse Response files and mix there output as well. You could try the wildest combinations, or, be conservative and load just your single preferred IR-File.

Each neural model may have a different expected Sample Rate, Ratatouille will resample the buffer to match that.
Impulse Response Files will be resampled on the fly to match the session Sample Rate.

Attached been ready to use binaries, note please that Ratatouille.lv2-v3-v0.6-linux-x86_64.tar.xz is a fully optimized version using the x86-64-v3 optimisation, you could check if your system supports that by running the command
/usr/lib64/ld-linux-x86-64.so.2 --help 2>/dev/null | grep 'x86-64-v3 (supported'
if that return nothing, your system can't use this, in that case you should choose Ratatouille.lv2-v0.6-linux-x86_64.tar.xz

To build from source, please use Ratatouille.lv2-v0.6-src.tar.xz as only that contain the needed submodules.

Ratatouille.lv2 v0.5

Ratatouille is a Neural Model loader and mixer for Linux/Windows.

This release fix handling frame buffer-sizes of arbitrary size, aka. not power of two, for the impulse response engine

Ratatouille allow to load up to two neural model files and mix there output. Those models could be *.nam files or *.json or .aidax files. So you could blend from clean to crunch for example, or, go wild and mix different amp models, or mix a amp with a pedal simulation.

The "Delay" control could add a small delay to the second model to overcome phasing issues, or to add some color/reverb to the sound.

To round up the sound it allow to load up to two Impulse Response files and mix there output as well. You could try the wildest combinations, or, be conservative and load just your single preferred IR-File.

Each neural model may have a different expected Sample Rate, Ratatouille will resample the buffer to match that.
Impulse Response Files will be resampled on the fly to match the session Sample Rate.

Attached been ready to use binaries, note please that Ratatouille.lv2-v3-v0.5-linux-x86_64.tar.xz is a fully optimized version using the x86-64-v3 optimisation, you could check if your system supports that by running the command
/usr/lib64/ld-linux-x86-64.so.2 --help 2>/dev/null | grep 'x86-64-v3 (supported'
if that return nothing, your system can't use this, in that case you should choose Ratatouille.lv2-v0.5-linux-x86_64.tar.xz

To build from source, please use Ratatouille.lv2-v0.5-src.tar.xz as only that contain the needed submodules.

Ratatouille.lv2 v0.4

Ratatouille is a Neural Model loader and mixer for Linux/Windows.

This release fix seamless Preset switching.

Ratatouille allow to load up to two neural model files and mix there output. Those models could be *.nam files or *.json or .aidax files. So you could blend from clean to crunch for example, or, go wild and mix different amp models, or mix a amp with a pedal simulation.

The "Delay" control could add a small delay to the second model to overcome phasing issues, or to add some color/reverb to the sound.

To round up the sound it allow to load up to two Impulse Response files and mix there output as well. You could try the wildest combinations, or, be conservative and load just your single preferred IR-File.

Each neural model may have a different expected Sample Rate, Ratatouille will resample the buffer to match that.
Impulse Response Files will be resampled on the fly to match the session Sample Rate.

Attached been ready to use binaries, note please that Ratatouille.lv2-v3-v0.4-linux-x86_64.tar.xz is a fully optimized version using the x86-64-v3 optimisation, you could check if your system supports that by running the command
/usr/lib64/ld-linux-x86-64.so.2 --help 2>/dev/null | grep 'x86-64-v3 (supported'
if that return nothing, your system can't use this, in that case you should choose Ratatouille.lv2-v0.4-linux-x86_64.tar.xz

To build from source, please use Ratatouille.lv2-v0.4-src.tar.xz as only that contain the needed submodules.

Ratatouille.lv2 v0.3

Ratatouille is a Neural Model loader and mixer for Linux/Windows.

Ratatouille allow to load up to two neural model files and mix there output. Those models could be *.nam files or *.json or .aidax files. So you could blend from clean to crunch for example, or, go wild and mix different amp models, or mix a amp with a pedal simulation.

The "Delay" control could add a small delay to the second model to overcome phasing issues, or to add some color/reverb to the sound.

To round up the sound it allow to load up to two Impulse Response files and mix there output as well. You could try the wildest combinations, or, be conservative and load just your single preferred IR-File.

Each neural model may have a different expected Sample Rate, Ratatouille will resample the buffer to match that.
Impulse Response Files will be resampled on the fly to match the session Sample Rate.

Attached been ready to use binaries, note please that Ratatouille.lv2-v3-v0.3-linux-x86_64.tar.xz is a fully optimized version using the x86-64-v3 optimisation, you could check if your system supports that by running the command
/usr/lib64/ld-linux-x86-64.so.2 --help 2>/dev/null | grep 'x86-64-v3 (supported'
if that return nothing, your system can't use this, in that case you should choose Ratatouille.lv2-v0.2-linux-x86_64.tar.xz

To build from source, please use Ratatouille.lv2-v0.3-src.tar.xz as only that contain the needed submodules.

Ratatouille.lv2 v0.2

Ratatouille is a Neural Model loader and mixer for Linux/Windows.

Ratatouille allow to load up to two neural model files and mix there output. Those models could be *.nam files or *.json or .aidax files. So you could blend from clean to crunch for example, or, go wild and mix different amp models, or mix a amp with a pedal simulation.

To round up the sound it allow to load up to two Impulse Response files and mix there output as well. You could try the wildest combinations, or, be conservative and load just your single preferred IR-File.

Each neural model may have a different expected Sample Rate, Ratatouille will resample the buffer to match that.
Impulse Response Files will be resampled on the fly to match the session Sample Rate.

Attached been ready to use binaries, note please that Ratatouille.lv2-v3-v0.2-linux-x86_64.tar.xz is a fully optimized version using the x86-64-v3 optimisation, you could check if your system supports that by running the command
/usr/lib64/ld-linux-x86-64.so.2 --help 2>/dev/null | grep 'x86-64-v3 (supported'
if that return nothing, your system can't use this, in that case you should choose Ratatouille.lv2-v0.2-linux-x86_64.tar.xz

To build from source, please use Ratatouille.lv2-v0.2-src.tar.xz as only that contain the needed submodules.