Matching Gain Before And After Effects

[Casmat]

@Lindon I thought that since the chorus duplicated 4 times, then there’d be a accurate way (instead of predicting by ear) to set the gain back to a “normal” amount.. like somehow dividing by 4 and basically compensate for the 4x clone?

[Lindon]

@Casmat said in Matching Gain Before And After Effects:

@Lindon I thought that since the chorus duplicated 4 times, then there’d be a accurate way (instead of predicting by ear) to set the gain back to a “normal” amount.. like somehow dividing by 4 and basically compensate for the 4x clone?

it really depends on the settings you are applying in the chorus effect - so do as @ustk suggests - for all settings evaluate the gain change and reverse apply this for each setting state.

[Casmat]

@Lindon ahh ok! Is there a gain meter In hise I can use to help evaluate the change?

[Lindon]

@Casmat said in Matching Gain Before And After Effects:

@Lindon ahh ok! Is there a gain meter In hise I can use to help evaluate the change?

HISE | Scripting | Engine

An API class for accessing global properties.

(docs.hise.audio)

I strongly suggest you stop what you are doing and carefully and completely read the API documentation

HISE | Scripting | Scripting API

The API reference for the scripting language in HISE.

(docs.hise.audio)

[Casmat]

@Lindon Sorry, was thinking of a node in scriptnode.. didn’t think to check on the api! Thanks for your help!

[ustk]

@Casmat Each time you duplicate a signal, it gains 3dB. From here it's easy to determine what to do if you have it four times (hint => 4=2x2)

[Casmat]

@ustk thanks!

[pelle]

@iamlamprey can you share the Snippet?

Thanks
F.

[A Former User]

@fpelle Sorry this was 3 years ago and I don't have that snippet anymore, I'm no longer using HISE or making virtual instruments, I just stick around here and follow what people are up to

[d.healey]

@iamlamprey wah! But what happend to neat player?

[A Former User]

@d-healey the source is still on github, i stopped because it was bleeding money and i lost the motivation to keep making instruments (sampling, editing, etc)

[d.healey]

@iamlamprey Oh that's a shame. It seemed like you were onto a good thing.

[d.healey]

I could use something like this.

The level going into my scriptnode effect is X the level coming out is Y. Is there a scriptnode method to work out the difference and apply the reverse to a gain module so I get roughly the same volume out as in?

[aaronventure]

@d-healey Didn't we go over this? :face_with_tongue:

https://forum.hise.audio//post/70594

[d.healey]

@aaronventure Apparently not, see my last post in the thread

[orange]

@d-healey
You need an automatic gain detector and gain updater to compensate the I/O gain difference in the scriptnode, right?

Which kind of effects will there be?

[d.healey]

@orange Yeah. I have a convolution node followed by a filter.

[ustk]

@d-healey The thing is there's no real method afaik. You don't wan't to apply the gain difference to each samples, so there should be an integration happening somewhere. I think two enveloppe followers for IN & OUT signal with same settings should give you the difference you need. Then from here, I guess it's a matter of dB calculation.

I tried in the past. I'm sure it can work but I stopped before going further once I just told myself this would necessarily create some gain fluctuation at some point. The user won't have the possibility to get the control over these fluctuation, and they will also be frequency dependant.

In my opinion, gain compensation should be a fixed value determined during effect development, but that is just me thinking :man_shrugging: (or a value that is changed with some FX parameters)

[orange]

@d-healey I think, each effect needs different approach.
For example the gain compensation method used for preamp modeling and the method used for reverb are different from each other.

Christoph suggested this normalizing method for the convolution reverb a while ago.

HiseSnippet 1495.3oc0X8zaaTDEeVmLND2Vfp1BWmKHbjJF6RnTARTm3jzZAN0pNDUNElr6X6Qd2YV1c1jXPbhK8Fm6M9HvUt0u.bpeQ3a.7d6t16t0tINVsEgsj0Nu4My768989yrtaf1VDFpCHVqevXeAw5pzdiUlgsFxkJR6cHVuKsCOzHBXIh1drOOLT3PrrV4An.q0WkD+4uu+1bWtxVjIhPNTKsEeqzSZxj1s42Hcc2i6HNP5kS6Ma11VqZoc0Q.dVgVm3ysGwGH1mipUhRrJuqiznC5Y3FQHny1Zmw8FpOUkn+gxP4wtBbPCROXiRDSZMT55zchsFRHVq1MyxWIwxuIsizQNUdlG38imfksh79.qRmGjZbIfjUNHsZBjtNsmcfz2jMChmqPaq.BoOGb04gRhtDqmSaoAETlZd7Qh8BfASWP06Vu9sYvOa7U8iT1FoVwzp80FwiTU2nxOWY8J+RE1KOU+9ycN7XBztthf4NMxtAm2Bqph7NVDba1Ib2HwTEAyunOs7h4SsSr5bJpUsURyi7Eoi2S65f9J74YY.RpaCd56ZuC2vQRIUFnmuHvHQ3Xsi3DHpNghVmtiHbjQ6Cw0yvePji1IxkaJFNg4MoS.9iBbHRTpPoYb97pKQLV8yMFaQg30ockF6gyGiklCFAO0aBLllYdM5t86KrMY.bU5dOYYSCqu3ogzjyuRZZHbl3ge0zgr8dRiBfX+Hushbj58jtHFnVVf4LIq7ozrL.+.gOOPbftqKeb0Ptmuq3w.vuM6XWs8ndxeRLaZieBt1F0np8PtRIbCWlrqxulpXQdrNxHUC5vMAxy.6Er+dPsaaQqTzg9fRXhUx353XLXomP4DO3efOoS1XpCClrwjIykStuvbpNXTLGk9LXKIDRXrS9n9m0frkqq9zVZOeYZnKPLwx5pcG6OTqj1nnDMlfzs7zQvgjB2GxCOfKcwX8CEAgwaxZz50fuPb99ZGv4P2iaCNwwc4lgXBCV7AhNEA0rmFkV.WEBTfsXRetDOB.GOzLi6xsRtpMIAj3HHcqTxt1N7PbVatK4PjaQfRv8DUmlhOT0qgv5DsaTrin.huEsuzEZJDVKuJKKHwofX3ylT0LWZP9QPhaaki3rIa3tP.pCTQNdYoLdGoJ0nRzoC+rBiIc4Av8APniV6zQPrP1RypKks7r5o8LBeLGqfrQhSSbP4khNwxP8ZifLytPtzGcyeq4k6nqP6FHbDPQBxL69Eb7e+ym0xgbqhG+u+rm8myd7Oevebql3wC81fRSPF9k9z2r4Lm9SewhY7M+Uu+J13Wi9PYqHCYlsg7lmyuFsSjqQZFFH3Nyw5yki8dXhj3Hth6NNDfTgrrOLtt.TLtVQkVv7rlzdBCyLTFxLZVWAeDiqbXQgBPnfAMNfeb0FFOLVPtTYlJFhqdtkRJiM+mFZWlhm.39l11+.dv.gIL8dPJgcRA03RfscvRQ1bnUwQhy7CxXEbl0nIa5+UEFxyPEPYA54lSombZrfbyCnR0IfuL1wO.J4ypdJDvv3.szWLHhG3vB0vrbC6Gi.ZLTN.n+PliV8wFrQ+orH+Md4p8klghZkih9H3P8iLrulA8hZvtOqZiZ0YeZrvMXeIK9g3qPkeOVCti5wQCx0rXwo3qD2BA1LwqhgKTO1JWt4ZKetITo5UlaN4fmYq2Jxn8fR0NS6GlF.j2FJv+2Hi+mpvBR+evj8DyLcD1xig66T4h5cWLga832D3NNaeYx4JSwfshbQ43M5+CTQJ5KvBH8DHpM3k+6EtfKfTpvEPJX5qb9l98lSuw60bg5MV3VA.du.K+0vUDlON9garyKteRrcOOsFZQLaW5Ma9V3NBWk9XQnv7JhCJVSdasdjGO9J7K2aX+13EN731A5iRqKfASuSrDHnRE+2PsNsCNl0fbRZ2G7MCHdRG4Q113ql9IMHj4ul6rDq4yVh0r4RrlOeIVycWh07EKwZt24tF7emKMsCKUBB5taxEGr1Ug80iqlP9WbbZh+C

Original post:

Normalizing Audio in Convolution Node?

Like @alhug said, the file analyser node is what you need. HiseSnippet 1495.3oc0X8zaaTDEeVmLND2Vfp1BWmKHbjJF6RnTARTm3jzZAN0pNDUNElr6X6Qd2YV1c1jXPbhK8Fm6M9Hv...

Forum (forum.hise.audio)

[d.healey]

@orange Read Aarron's post from a few hours ago in this thread :face_with_tongue:

That normalization thing doesn't appear to be the same as makeup gain