Target Effects within Send Container
-
Is it possible to target an effect within a send container from the send effect? Or do I need to create separate send containers for this functionality? Doesn't it affect cpu usage?
Like for example target Send Container1 - Simple Reverb 1
-
This post is deleted! -
I thought I'd made a video about it but apparently I haven't. You can use the channel setting and a routing matrix.
HiseSnippet 14661.3oc68srbijjjXr5t4nAb0NZGYqslNIkMVo0.5BEHdxhOlpqgjEYUbaxhbHX00zhFsVIABPjSk.I1LSPRL0vi5iXuoK5ttpayGvdPlIyzEcT5hNo4OPx83UFQ9BIdv5QOrldpBYjQ3gGd3gGt6gGdRt0mLnCoyO5MvZ3Ph+RK8nu7DWm1DOOG2kdTtyFOjrzi9mubqwC76saOSqAKcvKV5Q+hkOxzym3ZvJZmwCM87HcV5QO5KeIVvix8UKQ+ye546XZaNnMInnkV56crZSNzpukePom7q+NKa68M6PNypuRsa7qOnsyfccrcFA3yWtbkkFZ19clWQdsIVsuX4kdzOauNV9Nts7M8IdPc1woy3V8btY.q9eukm0k1D7gpK0B.Dq3k1smkcG4X0CF4+LkQ9WxF4+0KejUGKY4ATf+J5KLBZgJM3QeQZnT0o.kdjBJ8ULT5Wtbq1tVC8CdChO+EKev.XBoqIPpUQEVcW5Q+wk20Apv.+x8MeGYeW3AYCJrVkJkLf+p3VcGMnsuky.CmAu1wmb7fBEW48qjak6VwH7q51M12gciqisMwM1Wiytto0vBCF0+RhaIiqMsGQjUDF95zzeV1nosYiZkJ5L3fAV9GOjvedeG6NHsB+czYfk3jM3Wu4fWX5ahSJ7xf5Mj35agnyidA4ZfqlMEka4WP7dmuyPfuNx7Gv43zYjsouN6Dttg+BfdnMGhSTC7r7GqttZJ3wpjJOVVQwe4xmX42tW733WDCNBTp6Cbjux7ub4851kz1O.A+pk2+2NqKCyd2+KXc+ewxsrFPnhEoc9eC8Yi2ZdMw3kjADWj3UMEIi+2xpjwgYVx3ws8gt+LWyAdCc7z.bKReqybFfTgfBeiGHHf7ObJNapV9tNltw9p+zy2GFjw1lVl9iborEa22Yz.eM1fuTed3qx1RW8UDJ0OF4je0GAQ2KlkUeDW4qs6RNAN1xp+PaxdCtlXCh2n33+RPdVWyQ19hR0YrOxYfyvdNCrZqNqeJw205pqHtp3drCns88g8zCJ4u9WeJwlXpxA+u8WeHv4Y5BzIxLRKl9cZic95e0xLz0.WMZ74qD6u7mzRr0lN+mw5+e9xs.ccgdjoAK9fACiRSNMBbyACH1fBOdDU4Z+ZDBG.ZOeq5rbq9NN98rFbk1T+W9glM8WxFeyC+4WkMh+Dze5TmQ9.03HSPZ.PnV90i52B1wpMgSVgNZ4G8EAj4J3yrsrFzg9v+O3O7WVEe9Q7WVU7xOH8gBc+myn6+KnjXTWPfnSbUI6xBqNc1F8mddbZ.7mdd7Z..hSCoAvhiO6gMTePv78hf4uLZ+maYbALgKY9WtLe4rAa8r9RnEFGdXgF4hUnwWERnAJJHQgFhWVMzKqID+furVnWVGe9K4urdbhajaesaOG2QdThTN9C5DGPqbg3gec85+2e9as5.lmvJ3O9u9+3+ymuOgz4x.csnU5EDayw2KaVMaj3oStrJIVP+ikDKdYrjXtxu+BtxumRtl3dIWZBqHCVYgn2NN8aY86Ez7+S+i+i+ed9KL6OLX2efB++54uk3eHzZadY+G518+wyeg6X0x9i+S+S+u0ltnvBrzh76IJ57Bk9e84+4xRfOvbOKkF18nIgc2K5bz2rsqyO1l4XLT34OmVBLeNf58ybKeD9rQ0knNKSc+h9vNx+X615fJRCqMqMr9r1vFyZCaNqMbsYsgOcVa35StgnBSaOx2oOa6+kV5nS1i5cwG8n8FXBqdoxWVhz+RRGP6ZlWbQNfk6ZgKs+B7eX85SV9zdlC8.Y.63.E5NDTofrp0f11i5P7V8PGm2sMX1CgXW924I7G5Rew+2+yKu52rhA7mccFNFrTumuQsJ0pVB+6Zz+ttwKLu1piwqHl1jwqPq7Y8r7LvN2.+WP9jgmSW+aLcIaZL1YjQayAFtjNVdvxhKgM0Mr7MLGzYUGWi9Ncr5NlBEnvQfgStF98HF9D29dFNcoO7xW+Ft+yrMNYzk1VsMNDzHdfGwvzyXHVhWORGiKY.BaBJkznEGKL12AfLkpVxfXAu20.Db6g9XttnS3PrjgiKEJEL8Qj20vYH1vh.FO1.Iix1VNlQevfrig0.Jf64LDFO8.vAiva.k1MtjXLxizcjcIJ.fZa71CN6UG+lyL190+fwa29zS290m8CaA01uGHRw.1TfAKbaGK.zvnx0bf+X.4of3n8Nc2WAsY6cN3vCN6Gfwfw9Gb1q2qUKi8O9TisMNY6SO6fceygaepwIu4zSNt0dkMZQP7hPAPJj3tzoIfJ1g.1uX6wG1+.Lw5AXmcGidnCNcIsIVWC3loQaf4YxycTnXZ6.J0giy.5XYiC5ZLvwujgGfg+pd99C2b0Uu4laJe0fQkcbuZUaFD7V8aKux2r5JqfL8dCMaCyhAb13oDHNeCvH823QdEvPeJwywdDNitui6IlnP4B9tiHE2ZkbqjauAWAVnU11wry9PS21qP92exoG+2u2tm8i6e7guXuSuqKTt2pzyI4ImRtBTV2srue27kLx6xdLOBqoDRGAKOF0W.n9zmlE3f9zcGv3aAj7fmuDddVfkJbldX726.r3VCZYNvSCR9V91j7Lx8pqZDHvCXiFzAjUsRNPdjGHgP9lWwdgwyL38daWBrPTWdIuREXPNRior.CAg.jcMssQ8cKHNmoBNW96JtRNfcI20ltFjaoRI6.c24az3BJ3xgKBJbKtjlUYZsyY00nfn5kayru2qvskCNuqhXcyInZv5kaNBzzx7JxNN2VHOkNO.VYDz.jDs6tF+s4MdrgJffGyiBX.AGnjEV6rGCx7XBF.Jl6n9Hutw1ddVWM.MVBD336PWPRAiQeywfvX.D.j7FQ7JabB0mpHTgpAhh6RbAXHZ.1uridqLfWMPRat6VI2cvOVIm0.a7zMjmVGPf2sMdBrdE3TSam1vXK.Vd.I884qleSi7f9qFusGrJEGu0vR1AmS6gO9TZE.Row2CKU6SvxpRa0d2NzEHePuQKqBVFrFFeXsF3CsF4gyAFmP5XRA8Sovl65XZA0wBXtqk9bS74Wgr23SqgO8BRaywzGepBPoErdPqM1cj60TXtAsuegiwqc7M.4L4uaK4n217RPDCxKoxIYAETYKCKiekQ0ZqC+3wOVioxx6E3hGRmBJTuystfyNw.Z4gi75U.3V9aMPtEKJKxef96PsBQmbPKHozZwjK72wt3IfU70TNB1Lc9iN3EGXr6t.YfAVDLHTVc0u13kGd7Naenwgauuww6fRHfxQg9r021lcCuh9k1NWZZyTrQQRNtlFaGUfAo+P+wBYDzG.nHjyy.ygHkOT6gwEsxkAgzVXXJruX0e9Ntl2blyUWYS1YjuOk2RJZ3pRzE7FuG44SEBm53a5NtksUG5h33g.cD3i5xIFAzGxzHXkbz5lz..e2N.a4UtnxNwfAAR3Lg9CJoLnZjIB2bWwlfQeFVf8Odkw8j21dXOSYIW4RFWxnR4lEo7JWUF62uGOraDYgYwBlmW6BiUM.MEMOu5E3eW+Bk59JGWqeOJkTT65xZWgV6ZrZO0XTsIgQMR.ihV2mXLglD+fnQjAQx09IFI0n6x1z7ILAkYeBFW7Ponuz0riEvlsOnFZgywpX4S5yHmJyC3vtxsUXHFiBPwOFbP7.QAbeyxCgeTx3brkv.SYlGHhOlMBqi+BgSsxUJlB5DcdVGAY7dkLBykIwTQgZXKnQocHr0TPqykEhsCraaln19xpuE+MVfc7nZKqmIt5HSGXA8b.qMLdNNzM1D965BVcbbsmss0PORgyUm3zmyludsZ4Jzdc8D6UXpUP5g4e1.VN2PeY8XdI8m7+YZ37OcjcrRWClLtkOYLzwyhpVx2HWI.nIadPx+kchRkxUAR.skzMhBVIPWWeaIC3+pTJnupCyAUqDlgehRztoGzskjT7L0MUJuV.ID1eA1+zAUwEzjF1iMAxorRIRM0pE+U3hstcqWo190anrHB0i+Uun0oo0ga2qimaF1fRkNgCyKuh8fBC3oH.HcNkz12b.rscAA4njQcErZB3xTJEkU1PA6EzX9hZTeMrHByGMTMz9.HcSpO28eeII7T4nCYBP4i7ulBYusAZ30Di+t+NiPjh2m.JFydOYbbmSYGHDWD6qnXZxD4BssSblWNnTmOcI9ibGDQZZnAQbxHUkEw1irQIMATnXRZgqC+2rIwVQkrIz2OMt9FJrZC7+youJhR75CjpuafykB0UkEjQUVk0e1zZN9Eikaa6.RCoXKcalmYTqBHnmRY7I25a70OyHedgtjXy6X40FOUFrpM1RoPzxLkMvj0ScOLXlQTdvu3lyADoyPOZHl0PmhTf4tDjjxmVlzzIhzhklJ7dJ6.qoz811fA9jNmAsR1btRXJ6MDRY.vP01vzkKzNmgbGvP2tnmYGma3jDO5C3ZqHSvzEbTjHnRkM6zQvtgDFURNqVrQEEXIsm2k1vtBgG2UJ2fNtqpLregqyPF1tuqSeJ9DfJrYlRZcKcQ04fbDFqMa7hmLVllTD67LwoD0EcBp.qu11sMmZ3PiTHj8qrj+iLnywhheBuBflxnJKrGX5tPO3fW63BKk.9tNhV62yp86FP7PmKTSpwo2NVcrbIzUQl1HfQzkAn9VCLdFaYTeyaEMwCLq+cjV9io1g998FzYWygzG2zHuKaqVfW9LQ2sYPOeWvJIy9DepttHAfo7e0ZAzb499FlRRxvz4xlFgfUmvbD7eC4rqvTRAjk.9OnU3ZDNouDmpym8DX31.ZAXIs4WQ72AGDdEDCXJzEUipN7yLzDmvoKqxlhj0rJulT4K0BXwY6pQYmE0sj5LT.q02ibEbpYZTxYztiYiTV3IRN2uNDqHntgjeWEPennuyLIFEttnEhK2nP5edf9UMEI7TY.a6c1zIneGGeem94COhrFzwpMF8QK5gkqCF9AEjyy.ppX7EaOUp7A5zB8WLqCuHMs6CCCXdupJbvClrjwZnAWBs+oFog+ELluz5JpFLAddjWRlTgQBIdilQ8XPH7d5emh1LzWyUnodSk9NrJLbOUUasszecVTloZ8DzlIn2j5zPeJF0ZVSfrKLtGNzVbJ2nMZ3p3HoUYPKGZcSUQG8YmEm1NJjh4TgGM8cPjrc0XQMzl9FW13xl0SdNRrSe6ZIBhpcp1oV0TAwJwZKX6pBWOxWTWB5lPEEHu3hj05BJOkgX00f+2FoODSY3UC9e0a7QY3cN8cTms0TsIhGnRCpVojTjJ9DkCPrB.UDUxqpqKpr3YUcTI.T0HstR4SkRoAqnlK8RUjKFipo0pwqgj.ERCUYyGNQgDI6P.4pY1eOMZfpzrLqHprSxhtR5UNr5RAx1xrNSZBbCTNU1OIqeZF2IIqpnlIJd1UTMD39PNKLCy.5L0JJvdurccrpw1H8symWMYigOKPe16kQYLZ0lA0Y4MNdMZUUksrlHcX+aXW3MPkYo6oniCOYFPh6TO87dxyijoqpvudgKOit2KbyRP6X18zaBd4S+3RYUtPWSaOB0HVoOIC2muElZo7AIMVjUHqAJPh.XgO7DQdV7QTSrMAignumcM3UBxljbOJ6sSoWgXMJStBTspytxuqKU9k6.d0AI5iWTAmmYzrYrdfOKmPDHrbcl2sYKEVndWJoU4U4maAekdcgcXLi2.UIwSuqVwY+vgSyIMrYF73Po9gi+LhnzqT.TdAIlTLYOMthHfjz2iTbxN7P7hfAj1u0HXmNdSow0K+7wBAbiukht7J8d9+h+AwYND2Ro33P8pHckW2hhS.HbG8DZGAusl.b2w+W9QnEFAz5IwXC6LZWfmD+Shibo0EgFHPKjPUEKtSL2GOGzsww.IAjjAhBC4b7Mh4guACMl6AtKASwMFeKnnekPLC2Fz8wOa.s6wFIwyIbWG1Ggr+NFxCy6OJjH4Oou3F1Iqwi5lFWHEBjIyqmAvqaKdMls3UkQ0j1r.0p60v+WQAGQhrAneazPDQjDAjwUEnRs3FoRHu3l9CvTo8oHBdiNMZsfysMsWrVvuXjo6LB8mfi5VrFkKzgxmwFuao8lIyA1NCbf79F+m38CTL7GsCXNZyXNn+yEJzsYiwKI.GlkqNikqVlX4B6kgai1kP+.+G2YRefXjZufXjB18RSch2GlpnaQfp.hIY6B6XtpDSjWAVtXS55mWFWBZtj9ZdXGx0AOvyz5uX5bPsdamQUUEaElT7uzSrnSt2BV507ZFQ+gYWaspUnaqkvNWT8HSU2KEKr3aaVgt5fO6TiwQiH+3.4H7Q10asn1vrVwoDIGKQRnrwAHZTjLdIa8.FxdoetwlLOXn14B0oD6lLVpkJHnoGOp4VDwJPzYZpeLVeQF2.LiIZj83F3bSgmZnhSj9gfehSr83YAaWD4sqwj2V+hYQKdzWTkqjJKhB8Yd4IQJyiQ0Wqw4OnA4Ywn7oJw2Ys.QtrfhlyeP4xh6MpAOM6W.kwP5GBpA738d7fACG4yB2dOgc6gKOi9fHbylsH7O8v96FobuUgorroSc3ibHsPpMNQCUBE9r2zKo.qU7la5g++K3QAYtLH6jczkK19leLrpgF40Z68pSLWmJeK2TEdrISNYm2.vOssTJWLCh.0nuoGcmrmVTcTvJ5BEUjnxLv+xqLBbuyy2tGo86xCiWQmw2oWYTqDIZZpcD0koR0whgFfiXUcR12x2OtSGsN26gJwe+SDaYrdHsRXtAObTSlwERySjCyVOH83EWcHbLv5SEUgBJb5TCJncynf.gJPz5JAVA5XHfhKjPD1Iq7gjs0f2EYHET3zMjBZ27MjnZIFUBmnXJ+5yjiQ9axoFv6RtW9MTE3hVOHN0mV2tqrD9I3FS0UUbonxx5.KmT0HmMQXpppc3fyO9qeS3abjb2IE9QURZHtR0WM87lpsdN4PSZ2JSjHg2ET3chCPIuLrAiLKyNWeg9VxI.XlQUecX5Hj1KYZWv1wOeO4c.MkaiE9vlz48lwi7QLDEHyZEKpefaQ4zR5V1TJffGCyDt+PD1nfBmNFnf1cOw5fcfF2gv+uP4ksv7Z2wcKjGe53tcyWD2d6IUwv9+qitOOGVzl5M5RLwHL3p3gzS.PQ28R+sF4KJMkG8AjQBnx.ULYNPjAL73ob7vlL3J+dZXf1kzUC.ssbaaSdh.SnGbAspZcuKYnMlckCpNcqcpmZl5PRNAUfBoFuIuz3M5C9cwnpEI9cQMs5UpDS4n6Dp7jfDjm8LiJbwHJxMhHIo1VSuXD8aZh5tHBya.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.uTympAEq96OE7wZ1O3Wcurpehu7chh+feicM4HOem9sH9XtB0Scko1Klx0mZsMgUo65z+RGXQ7jb6ondhWFirkL0em3LbzviHCFkddeHv8j4RnUEB6Xkoq6O.X8mvdtQp+7L1uh3ePGhosF.wqYkJRDFC36Yddsl3AJV4h3EnSmZLtTWhNe5ZJ4X3s5diWAOWuT6hLxdjax7F4lt9KI9A4oWj.mvj6lrOyS6KgdRI0pBJ8KKOqHm+Y1s6LvVlLzDnEJ05Xn7Ld9oga1LvOjzYmNS2uzDy8Pw3.3FSLoHnc7.bxXFGwSA64D4MmgdctXRyV+Mabqm+TXm7ZMuXqImtUVvqvyko9ZdIbw2EyHspJJMWkXAqgOwkfW8nKcctwK3JXLjV5NrBy1UUf6sJa+SRnsWgq85OzY.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.gWZo6jtDWt9lEwvSCYT6NRHW5vBlbXBC+LBfei3tBSq6wLBQ5Bky3YF0zRP57zFNLKygh.HEJhWrPrcoUkekgZ.ZDV3PyZM51bMsfoHc5aAAAFuRQozuy.8OHFKRO5PiS.SsJpbNR5ngHsDTshRX26GWX+nb98FEzBsEr5ghUfPUVn+ZnfV0O3fcowi95XTYHwshg7rZ00RNzUC7yTVD0s3R3sZZJN0RYaQLca2aGS240DF0SauV4Jg0ZLC5vmzYRTKr+sqEZ46Lph7SKFAGB6ze.fH4Izg+CZwWI4C8mcZIZG7ebG2aVloXFWN6wjArxS41KbNp9E9Ah3T5mkI7Wu.Dr4SxewV7aWHeclR6B9NhHVMVTJ4SbzLLfax.N1V5GVEWSud4uPdFN7jtR3.qv6b0NSrhU1WWD..YjepbIbvoRV.6GQmO9PqnZvlEN9MpF6zXU5GXJ3+yCqL4WphjfR0DgRMNTvlKRaJ7XIhm62AVqnrpAmuHy56zpAJ7I8ZfmC9EQCbQcMj64biw9lW63BTTuXTNG+lJwDbjOx7uhn5XA1yMx2CVGQy+TfpgfZD48.3kWN0FJluRBH3Si3OtoNNIui1wD0VIn2L+rL0hjK0KISH4EYRfxEwFclIDmy4zhm4mobiDjuMPy8345i6RAvczbRm32jj6vuwbp0Bomdpxer5DduAZ.n1gNw0kOm8iNngVpl3xcBop7UE9BEbLQHhA4al.Yz.edaahK9AOaPGfuRFkLImYtwp+VZsSTxaDezj9NjBm3o4IRMmnM6t8Rm8t2EI30l6Y2aIb.iJlD3Sq3C6sY02VxPY.oAlLGUEgYOQemqL8djo66vHegl2pvOvgobpnB65wuoXnc8bca2JxK4YFypqq+pzVOGhkFpd3DlTl3VwEqylIyZlKysRRwlYMykYozOc96X1gmNlGOjT124PmaHt6Z5QJT7Bg9I8GY6ageBAQxQU4sqfliCtA+7Sy2kBffpuAktXoM9wBK+AC55jeScfUobi01x3R.Ye2Vgq+aMcwOGYQaBLakPS9MiHdH0LZaZlXa1y00wM+lAEmKZ2o7xnTux2vPT0ZI5pIaC1Jg+zcgcPwhgBvEkuWNwoDiR.xDD7LeiJMHRjzDNzuxfr1LolKN5ykT.IxJOk8SkueRq.ieyZNw777ruYeFaesokMF5hnlt6cKSi2iGRFX7Vxkd.vnOeMw8FbeKgRJWnqL8PS7iaG9gKiMsDmVPG+cTMe9AtJOu1IOavNos9iKVMNAXcLXY6ut1Nlzue49V77paxyNrOevXiOBa6rErnzzx.OomUQr7evn97OTG7BkLLZeeCKOD5aOMA.roiaQeqn33DI7d7iYNKg0iO9YF2x7cQtH67b2JJhvXnG6eWM.6BhDxjhv4Ije83WY9YJyRhAo4ik3TihAqr4tgl98.SnoIKMyvGCAJ.lSdtC7i1VlWmUWxGjvI3slWw5pfjV1c5Q.bZC5XEE.LiGMjnDxP8GRltnEBZv8jMywnntv6ShEkrO+wFGcxdF3G977Jt2yxCFX7OOxEzVVm+EVd5MiYyxBQx0JSs7fjIfo5YpPgn1D7OUrQLFw1FXd8neOhoDD5maWla18vODyFnUG7VwCkHrMSWzjAsHsubWuhX1YBwL.6Sj3TBQ9ALMcgbbD4BUt8xK6R+SLI2zHY8b19AIenMfxWuY3PgxW5wfTzfIL4g48IiQJc6TE0lhqHdVhbyopyWzwrY7c4bEolzCumFaOgs88UD6g3t9bHvBx23Rumhnpilu88P7uMJ+Px7xRnYbIZsYmpE9j3iaTHyM0B14vF542yxK.BrB4toOsKX+4J4FG1gPVut77vaFNDJTRzUgGuPWieAENE1thTnsBEULLoYhTwnDdfCS4qMuU40l2JeM6uomwA+knz9hzsNBx+QmPbwyJ07JBykFAWSkyAEC8HG.DPDC9FLPLJhoYYQgP+xJ7hj5PfoZHkqg1onGBSoGBAaDprZKpLTmR3n8hIRRo6+R5ZBlGPyuYno0DpHf1gM.MHOwdNGoABXIA4br72zLKYAwSuhXcUO+BEUr7jmxWeGAyyjGgI1IX6+BUXWI.4yxoBqNcvuJlrO3X.84IZSvXaJnNkF98EC2wCBR2UOyP1McTHBKfN4ZwPanyMEB5wRzgsVRAO7hr1wexy5MfYqc.yyX7KhdRAiCy31fLYAXga3n2J979Y70hkbDCboNn8oVN475nMLkj8Xck6i4SnNiZsRrDvWXfvMjN1fNKXXJ9f7l3fLbBnK9ZMNQMswwJljzpg2FY5ux3nlex13PbJS+UyHo.kUlHYnse34QY9jOtJqQOjmiRhMP4CDAdQcpwIbvSI0BPltXIiuyolcrLAatuV9oinXZbi3XQxLRAgm0fBHDe7jZ9XZyGGz7mPaeaGuI09Iyj+D7VWMl8OYjo9tvxqW8a9F5+9MFT21lKWK5okmKGc+dCeGLgsOz1brgIdqiGZvhlGQaf8eUZBpDfRKtjX6bC8zTV07RGvl91Ls04MFeQtba65ZNNWN5I+YfGBI67W.S.n4OX5u6QkweQYi2BD..rbjniRhT2dbYFXWM1sg5NB8t0UJe+wKvcSMSEBrazzfhyzvtgYB8Rn1Wv+fJTo3VQM4EceefRLBy2BIeMg6+UsX+lEknJQIkHX3NeGz66oUjoHvRFMiKt.ihOf9miropyKOLf4Cc3GhFN7.4RhlK2BudpnUh28dPpxEZoEQ8O9VzpTkeATqtVkRhR3+nF6aXC2SOwoxBMKiUnsHxzEmInyHertkLfgkqIcTnw0nsOqnwIueaLrZmGpYLcAP+tG5EL8gTKiSToeAsf+J.ECUuPZLkdhcrtXNI3uXOKxuLhfbj6JI5+jSLw7DL6aukZg0nw0SPgSIEKW1v1X.dbYrEstSkgNB0leqzgIi39BbjS4Kfc.OIMtti9TUwmcd4CAGfRC5gVIbATZq.Ja0QeEP8lJL+koRO463GoeTpGSxJ+SdtrgkTeo7SEhlK9ngK.a0Pn49zxnipTqXBtG4fgcOikHdvi0D273fybJ3xGqfkSvhjnAcAk8gkCe7BaXhNOJsJmW4h3hecVzGlTbkKZa0vaTGANzqc+DgSsDgSjiyQMQ.p6303HOI3zPDFgr6OwD4F60z7XzyjYR.QLjn333Y8x0GI6JUo7SobJXBhA6KbE5FA4LlPoRoIFoYLFhlECEBByXJDLFrccJ1Vapw1Du53Ien7BujHNS2vIPX0jGbjDEWH2z+MbevRG539UWJ0nRUWpKDJiE6mLlPQiSz7mjbgn3vIB7MfRJgbEwVRYIyb4ION6LlRgB.dZIVHY9mTCWR3BwjaRRDlrathOStqq.kNBwM8VKVLWKczo1EQF+SJEHUMi47HQhlOQ4OhygjE5BJ5qeUDYOIqbd0JE09h5pba3XLagtQaUqE8trkfd7SPCjlwkdNB.UfNM4SM4avAFK6pmkMzhyu1p2GGEmqw9Lygb77M6oANOau9.WspFMRrualolyktxkLV+xhDIJbx3HP0M4wXQVjCRNPeDpTSKuVjglt3Gash5muoXyUKuWAiUab7RugBp5ZIFwlaf+O4HN961szG14h.1PY+Jc8f1L12QaoJYbBoS4JwlnOTBD5XCG8XN92boosrH78UPn3RYsqJRYshKwA+B0jYsxROACnxIKOaiZMUyBEoycE8vmj202rviweQOwa5YNniMQ6cRea9svvFsR.MR.KHamxudr4N4uNepgd9MAm8g1m7Gd1BJKcOxyu1FqswSqDYOxGGeBoZxHYuPXYIf9wPQ5uztSjSX5KbJ7H7NAokulzuLcSJY9xVJLuIl9XxYR0RNmIw0CVIBNZ1T6tD80mmeWsL5R7wMzYXPwI9dkMK4GpDRrEg9PjkwLguTdVJvV6SrSjaZw6Hiuzwzsy1ttN27BfyKxktPHsiqtAZ9LrP3oZInM7aEN98EMWxYn4UlMx7jRUSolr1ziIO534Wge.AoWztYX9dRaVjthircIBg0S+tO5oBtP6AIcrwcI7kjbetpemXNfXuyUEh78iLI+vJpC9QsdjmREwya1sCw8T5KxmlRdwnYVVuxsMpD9BywPD8ahI6VyUgeq4lSkMS55eK7izjwHkO1v2EjhmyjudCpY7WmuXLfQCTn+0NuRLzPE6Xv93NLWmDlQI3qmvKcs5PYUJLD+6RX34AXoG8Gm5biGd06uDXm47QzZUtiouYYdMANE9u1Jx6Q.vdO9qPumAW30reD5sLQc3EQjkggXuBHWm.Kf8gY.eTuof3FQ61yjNeNKK1F7YrjVS0gjrRJ16oUI1nAqEMhJsnAZogkwuRoZrQEO8GCu7wOVIjJEYIUno+6XGM4MaIewXwYrAlw43BUYUVU5ETESQ7cJFkziDu.MtDrPoeALKRutxnibQkz1ytDWYcsrxM1ZB6dE2BwRJjF9bKhpJol+fr14WGC1WrndNTOwujliYpuA5KfIcZLxURRPVRIkcNw84FwQLpkGUcKIxTHDT6vz4GobSpIoz34VoqCuiZS48RNaDZcGuKGABh6SCRZ7guntgXXO25B9mlv.78F9IhSyh2M02xqVvmXlb2wtc7BoaxkrG4LxirqIZ6P62ErlkbM5hL00srzCfBuOsJkuUr9S4.Z9lnKaCVbCp5DGbFq.GwA3DFPmxBRRNfDAuLlJWQfFSuheJCcrkWTtHb4Fr9Vn5FChaxjqwZBtfjU729rjDfvVpxMaiVGWvBcPRXAAeD8BlR6p11VseG6V0+0rRbww5tXwJxfnPwSH5fkmQ2J3Ms6gQvEKqbwzCTt9Wo8pXA+Vrqbpfxuc6TKRYwGmHZSE8L8U38CpPnSLHOdgevv3O+lxaDTI82RCFqMwqOdP4r03h2D4E7E+aBFND7p9ltWYg2Bklp0WH6ZyrbIEaVTooJBEfUe2t95Un+I1ZTKopnrjdS8.SN9..FVewnvnDi1HgyCmVtakkVBjEQV5QeA9OXzArzi9qVdePGQhK0zfx+Nuk3QU.Tokio5EW9zdlC8b5LdGGnP2g1l9jUsFz1dTGh2pf8Fs6Q7TgyW7u4msL2O265LbLkADTsoF8N.Su+tUpUm92MLdg40VcLdEwzlLlw2bFvZgIXehA9utDhgmSW+a.E12zXryHi1lCL.wOVXVI3xQ9P07wHbdUXy39Ncr5NlYDruAt+fKrdg.p7312yvoK8gW952X7RBnWGnu6IitDVXXbnEHSyiXX5YLDKwqGrB5RFfvlrOhEs3Xgw93NOlnTrRFDfo.5DX4sGpaUcQmvgHX4F6a+YASeD4cMbFhMrHfwiMPBorskiYzGLH6PCsa.v8bFBimd.3rvadIKZN.IrcGYyXefZa71CN6UG+lyL190+fwa29zS290m8CaQiIbP0IpLIJrr5i22nNFvnx0bf+X.4of3n8Nc2WAsY6cN3vCN6Gfwfw9Gb1q2qUKi8O9TisMNY6SO6fceygaepwIu4zSNt0dkMZQP7hwdlBItKcZBnhcHf0XfHN1v9GfIVO.6r6XzCuBxtj1DXWLLyF0FXgl7bGEJl1NCthE66R5XYiC5ZLvAL5xCvveUOe+gat5p2byMkuZvnxNtWspMCBdq9skW4aVckUP1duglsIFbd6U.Ydtjqf4KOeZQAplJRKmC5Zc0HWJSwqnt1BE92Z7.XSHX+lir5XchqSahmGreT93pddQ5+7qM1w0wrSaSLJlEcvkAEgJM+96X6xpVLXRKfY6xDbC0ge4IXw0uBHKvzkOuUGTzJa3vaEHgEdAHNDEQdddZhCH+EJolzu13cCtj1DAhIdNwDRnnBzwm3AldMfVDN1RMCbFHdK+MrNMr0KQplZLlHxW13.jsEFslA6uw7nANP1WF21Q5B0VRoAZlQOjObOxbfUWhmOitS.cmvpdgxca4q0tmfs6UDO8VZsP0ekLSECxl97FGG+ARx11mKMnPr0fBsRrdfYSuB+pEKYKkKYdFnGFzAXYaeDvlZdEofDPw4tgqn2jcISkdJwLw9fBrX2T5uQcSIf+oOHQbhaM8WtrbVPc6m28eI1sedXylG1r4S3MaDrx3tMnDpVscsF5K+z45wdDO+Qoms6.RvMwnodjs1dInb7bCcgYO3kDuMMd+NiGZ5A+nqInFOUS8R5PoWGOWtD0YCBcFCCEq1dyEPZ6f2ZBPR.4rQCHy..7AdKugNdyTueMADwa4OtEHme1PePJGX16IibuJisekbWH2a8HmN37niavmKYYIQl1E35rfkseAetZlZ7ttNddcM6LKSOCwKEwa6QH1xA6L.EXNtiSeIDpL+fn5rvsfoJSemWBl.e39GCfZtgwA39Wdvj5t6N2vB1E4eXDYP6EJrN7TJYa+imcPdBxALuzKAPVHDLAvVHTrH.iQwloEZ6cKlWgvsqyTyQUGCDlrW2tj1A6dPXOFQLRepRZ377Lfh8stk01JySiqNOMt1rrWmxNlYdjqRaaYB5xPBDS6weNB0k+h3HORonuz0YzPQWUx.QnMMpDCZyAV0EIvpsHAV8EIvZLi.ScdRZFpmx2OCdIQlqFNvVyBD5gEG6t37ikHkc4FX+8LwAo0Ze2QIzX9Z2YrqOykz2w1IasVkb8cjwBWMJnWe2d+vOt6wGd7aNsE51AnEmb31+v16b3daxt74j5UqQvdBpYKvRfceUf6JA6lv2r6qN9zWDT5Uf4MCvxac1ou4nfxGSrsctg+hCd8K2TIDCGQ6hS2q0dmsodjGxOiSD8ENqQ7sVf8HNOGLDe4HKeS2UxweY4gi75U.GVThG6sTBWWKWO+uCHZ0piO9NxXWz.VnfyoNA21AnVva2njQOK5Owj8KK7O2TkrUlMZnSSxlUesflsQhM6MGo2Jzmo7VUa83akbVHT+0Ln+ZFzRAkb3HWXImdSVO.E2Xs36L5DqdqvyQm2p0qEeqDLPH62ELRsbU2lr7Pi+HLEMAj50.ZZSf.0DOzL.zMZxNm6UXIlF10lClSVSTBrsqO7b0MnE.1y6iWWZbVqN8j2dZIiMXg3BdTVXc.adG0GPXZcfAZ8MjkCvl+BbZtdC1KZ2ywsCubjHswZ7xsIltbLBYb.BMVLFnaGYdKfS0DqV4VxIXkXmKKx+0UW9ipUTor8TIiWqLvomUCeRI.xhMhNAObnICxTAR0VHIqelvrVBp3gN2vVsHKAi0SbUychyN5hRnuuBL4IJ8QLJP48a+pWz5z4afD.ms88AYIpppM+v7TBvP3QVX.cgAH9VSREvmOfoYF5LCpSj1EtH.zBgTQgzBiVQgFMm1TcNgz9V193+HLvXAMCDFrKDZHGn+lEAvptfV0Wcww1VcQstrpf+2dQ.mEBFc+vlUctXyjaRvslM4cH3cyBAYmVjSXMXxXWbPLIaa9dGq1js66LZfOSSLZAGZ02BdF0Oha7SItUoGYNjZVuqkY6dV+3UTUZ+QuQdn4L4Se79wFuDZDFXkVTZXploMAKshNxe2fKohTZFW66iC.Tsy9T82nQnggZVnATxsYkDArtSV0A80VdV.tMATKrCfzgwsn51AskR4TcsQLDuVbxMCZ8G4yXSoeKJXkQOGfTT0RW2UAvSSKyPXMkM5XZJ6fxcvsVUcoDOfixwQoHZDlXuFdK1PcszagbeEDtihv1kCuZOJ8TzI0IZfcPeD6jrls5ehMgHYM+Iv7QzwRrSGGgG94mLSF0Z7mQKOXQCYjYjcHC5X7lg+YpDKdY4TlZpIpXNZCYzh70Wqr7OOcW3ut93Mrd4aVWV30GC+U2GydeyeyUiON+Eb.8wXtNkIa7ZJ8vz8rOcuwt671iuUY5tU41+6+HOcm1R6UeXBWeBOm7dDDZVuQvxYXVlNq25UNiWWgK32W+28pGyd+QmzWkKX2eG4la+DfKXE5duJQT32a0aDw1LIexye8r5T95O3TdilOU1pm1Xw4T90.vtVM32OMpC4aFxg7qGwe7PCafYbuozI70mOmv27CfO3W+yMWvW+AWv+fK3evE7O3B9GbA+Ctf+AWvunc080LMX+zyG7wiXeTbB+tlCch2E7poVdz5Hly3q+f67evc9O3N+Gbm+Cty+A24+f67evc9O3N+Gbm+mOS3+zzS9a2tsiaGPU0j7kurB5dyuw5o4M+lAdye8I48ZcOy2HV+qOEGCPiml8.ee8fVswTcL.qGL91nVZG6fvnfDccsfO80N9D5WfsLZ7bIiCctAaDiXidEl8z5MR2V04nivImfNpwSSuin45qSctzZPF5Cp..lNhkLXN2P7ztLSkqWxXej4iWypkL1wAyPl576IhMR13cwSgva97vQsYerEZLvGbX90IzvQmLjJ5Tm6y7ybst5p3mROjbEHrTfDa6Cx5FYhyhh4XZNqBPDzB6OxGsPZtLSUA4xaTIcf0xGrEeQ5o8El+XyLRUxXZFwTXeF6yw8JIrSmN3YkwNGGpiVXEvYnfUcUDEotUXsFk0+ihpsar6u6U8F.a0EpcUC0N9Vnx1wgCeKxLNLYH9BxGqL+ss.YZTgHKwPP5D5JzOyRfPRPKL8bP1a.lVAFRx.ujbdFDtHlgaVIcdp5YqmDftZEM+gcO304ODNLF8CqpeYqWKA2wZJ1V491Swy.FQOu8zwmZyL9f8uJ9Ts5ZBWW+jp0JWYhXmoka53V8EJshiZ0y.l4xVZjOD6VZ9VOqtZNkE1YwWy.Q99wG5M01zexNwdWafrMf3GmMizLLZ8EokiQz1JcobBg2Sgxk0RQ4RU+VVJYrrNssZJUmI0BqlIehBFF6S9IJ0t9GPpcsXn1QrIlckxcS1lXYEBEgaMRMB2BLssVyoKnyBBWslajwXA6dbywpXLyE9TKS4BCgzooR5B6aCd9rwSGrZfuHHL8eloiROyberrY9L3MiqRRvqBYzbejbEXteyMxffpia6adMw6dcpKIG7n6PoX8xSRy5zjTwmdS4M9HOky8vSTokk9T1q.q27CUnt8oY3EdOD.deZEggeNEIeJd.X5CYqOmM5P29hpQLvHiNEXJHWZpv8JS2gIo8F9tOPJtUM3XBZ7wWwsZMCEtYTM4hUysdHMReF697HLPBUv9Naz3tG1p4AYdeJJyKbVhahG.6m5RMyf4XrnF03Lqgypd8ebzlNqN0IE6YXC8AlV1eVOzqmggdjsPOycT+gDeO4GLAeVAsRHmVySlpYMcVyuvjgREhcsG4CTv4CHWAiT64CDlziyX613mMoYHakJlXEmXxYV8IbDpxLhQo.xpyIHYGN7LBjAwsqe1haAsM8We8zwxHm4dZ8g7zsXqJ3KCRxikQWaj.JvHTmgoqbZrsO6bFM93OZZDWTCjoDpaXIBGkbFOmuddtx21JvX9xczb.MeYyZUfLenCUL07gLAfX9PkD1Na9fQzaG5h.d6hbdlykT4v20zue1SK+IAx6ArbgPHWH.IryklY.sOasz7AnvdnZ1AxbSbh00ayNjVbjmWhxIV.vgFzMUVLPItX2Y13jv8C+s6OeB9XvPI1olIv7aQWvnDYRyMGUX.t.jqD.xEm3uHvbANvWbRT+s6uXjbw3UVHhR2c24X0T0Ev10UWD6JDSLMNSfYQHJu5BQTd0Dbh0LAqzcd2BAjyKNVitTSXaYkIaShHd+pgAVjz.kZMS66VwbyvWaAHpu1hfIq1Bj8nQbAW4LAnE.0owbOG0XJouRSJCYT4dI7wuItjLPV5hPfe2j+nhDwGyIeeVKYD4VjGhpDi2li+FjOSeQQjcp3SBh1XbaU+5FYXdBwsKFnMCZy44lfuMUC6LLQPcQTjFVOztszURgfW0jfG+VlExSobGkl9UJYVcSZ72BiDbSJ8uSdzZASs8+7ZH2XVGxuvwxe5XV9HOReppKwSejhKgxshluuMplzYH2xw1InVy5oIOc4dtlAml75q+g8zjYD1YLJ.4RipNGgH+71yZmv0hHj34dhkET4afAU97hh9RuJOADrwGvYrnHUjnAP+TgBeb8Q7Pr1oXpuUe3y9MxN0wbVkwsSWbmhkQsLsRt1Cqjy.eQsOZqjq8o+J4ZeJtRt1OAVIWSdhzIsTNnFOrLNMlhZbZs2G90wAc8mtKjCvwOkVImFV8I1R4vb1QrzbJBil.aMiR70M2bRFeEwljLEaNUWbwlS7FcNKgkTLVd9Y0nu9jrJK8HS56sbrsFH+ngdM8w60vR5gvA5CP3.0TKFf23OuBGnYMVbzWDjRj37PHd7PHd7ANDO9oajY7PbP7PbP7PbP7PbP7PbP7PbP7PbPrXXOpu.VEWetIsbHTcdfvBHLL9y6XBIVfzbAvezbtGJMma9ilKDAyMWfq7ZNcLIrCJOjkmK5v0ID3+LHbcz9NBLgv0IRmlgFmNA5dNVeXen1hjghUiiivihLjbhSJLSTPWXO0Kct4yAjl+g8XUM3EBkqmDJWm9k0q4hDkyb.L8Sxv05C7b+O0CErOvq+s98+dqO63Le5mhjxSsZ6ztGw+yq03UxVX6ceSJEazhG5DMNgXm7zDBKPQklwfPndkoKHDB9hztwFeFEDBd.hxTco9G9vPPsy+PGHBYNS9phjYNRDp+gclymu159I5HteIUM+XxjGIjMzNE6vQrQ3S2SKfMzL.Kb7ZD17oXBWiXLfP631UEpUKKR9p8fjuGj78fjuGj78SIIe0yhju5OH46AIeOH46AIeetK4qVPPVlTr1yqvCR7RMpsYD5OFQZunm+jUVmDC+TRPmBR8fTtomw9yAQb2sxRKQ5eIoSGRmVCH2tukMwaokV5+O+TE6m
-
@d-healey said in Target Effects within Send Container:
thought I'd made a video about it but apparently I haven't. You can use the channel setting and a routing matrix.
Nice thanks :)
By the way, why the volume is always increased when using a send effect at 0dB?
-
@bendurso You're doubling the signal. 1 signal out the regular outputs and 1 through the send effect.
-
@d-healey And how could I remove the duplicated signal? If I create a Gain FX (and set it to -100dB) after the Send FX, it works. But I don't know how to handle this for multiple Send FXs.
-
@bendurso said in Target Effects within Send Container:
@d-healey And how could I remove the duplicated signal? If I create a Gain FX (and set it to -100dB) after the Send FX, it works. But I don't know how to handle this for multiple Send FXs.
you dont - these are Send effects - so they have a pretty standard routing approach used across the whole industry - if you do anything than how it is then you user base will likely be confused.
It sounds like you need to put your FX inline in the sound source to get to where you want to be and add a Mix param to your FX (if it hasnt got one already).
-
@bendurso Adding a post gain after the send can act as a sort of Dry/Wet knob. Set up a UI knob to control both: when the send gain increases, the post (Simple) gain reduces (creating more wet), and vice versa to get your "dry sound"
Best advice is to follow your ears on how much to reduce the gains but a more "empirical" approach is to do some research on perceived loudness, SPL (Sound Pressure Level), and decibels.
Generally, a doubling of sound equates to:
- +3 dB in Sound Intensity
- +6 db in SPL
- +10 db in "perceived loudness"
Usually if I double a signal I aim for 6dB reduction (so the midpoint of the Dry/Wet I referred to earlier means at 50% Dry/Wet, both the Wet and Dry signals are set to -6dB).
Essentially treat your send container as your bus channel and keep the effects completely active (100% wet). This way you avoid phase distortion. Best advice is just follow your ears, and as Lindon mentioned, you may just want to keep the effects inline or use the routing matrix.
-
@Lindon @HISEnberg Thanks for your responses. In the plugin I have 3 samplers. I want to have only 1 reverb, 1 delay, etc for all; with one fx mix knob for each sampler.
When the fx mix is at 0%, it should be: 100% Dry signal- 0% Wet signal. And when the mix is at 100% it should be: 0% Dry - 100% Wet.
Is routing matrix better for this?
-
@bendurso said in Target Effects within Send Container:
@Lindon @HISEnberg Thanks for your responses. In the plugin I have 3 samplers. I want to have only 1 reverb, 1 delay, etc for all; with one fx mix knob for each sampler.
When the fx mix is at 0%, it should be: 100% Dry signal- 0% Wet signal. And when the mix is at 100% it should be: 0% Dry - 100% Wet.
Is routing matrix better for this?
you are probably better just building a ScriptNode-based FX with a wet/dry mix and using the resulting FX as a master FX...
The X-fader in ScriptNode will give you each of the useful mix approaches (Linear, RMS etc.)
-
@Lindon Nice thanks. It make sense.
How do I link the effect's mix parameter to each individual sampler?
-
@bendurso you dont if its a master FX, if its on line then each Sampler gets its own FX
-
@Lindon But my idea is that each sampler has its own "Mix FX" of the same effect. I wanted to have only one effect to avoid duplicating the effect in each sampler and thus save CPU.
-
@bendurso so you want an FX that takes in N*2 number of audio streams - and has a wet/dry on each stream and the wet gets passed thru the FX...... (where N = number of samplers)
So I think the short answer is ... No.
You could do it by having each sampler using a send, and having a separate gain fx post-send that is modulated depending on the send level.. you will have to work out how to set these gains relative to each other....hint: linear is not very musical.