Currently the models in models folder either have some kind of lookahead or are a little outdated, as you mentioned in the #391
In the LADSPA plugin README.md you mention that it uses new zero-lookahead model. Could you share this model as a separate onnx.tar.gz file? I have tried searching through the source code for the plugin to somehow get it, but ultimately failed. If it is possible, could you point me in the right way?
Edit: It seems from the source that you added the possibility to use either regular DeepFilterNet3 model or the DeepFilterNet3_ll for the LADSPA plugin. How did you made possible the low latency setting with just the regular DeepFilterNet3?
On the similar note, I am also planning to try and train your model on my own data and also enforce the zero-lookahead in the training. Will simply changing the train config to have df_lookahead and conv_lookahead set to 0 be enough? Or should I do something else?
P.S. Due to being on MacOS I am not currently able to use the plugins. I noticed that you disabled MacOS builds for the plugin, did they not work?
Greetings! Thank you again for this amazing work!
Currently the models in
models
folder either have some kind of lookahead or are a little outdated, as you mentioned in the #391 In the LADSPA plugin README.md you mention that it uses new zero-lookahead model. Could you share this model as a separate onnx.tar.gz file? I have tried searching through the source code for the plugin to somehow get it, but ultimately failed. If it is possible, could you point me in the right way?Edit: It seems from the source that you added the possibility to use either regular DeepFilterNet3 model or the DeepFilterNet3_ll for the LADSPA plugin. How did you made possible the low latency setting with just the regular DeepFilterNet3?
On the similar note, I am also planning to try and train your model on my own data and also enforce the zero-lookahead in the training. Will simply changing the train config to have
df_lookahead
andconv_lookahead
set to 0 be enough? Or should I do something else?P.S. Due to being on MacOS I am not currently able to use the plugins. I noticed that you disabled MacOS builds for the plugin, did they not work?