Forum
    • Categories
    • Register
    • Login

    Pan and width Issue

    Scheduled Pinned Locked Moved Bug Reports
    16 Posts 2 Posters 63 Views
    Loading More Posts
    • Oldest to Newest
    • Newest to Oldest
    • Most Votes
    Reply
    • Reply as topic
    Log in to reply
    This topic has been deleted. Only users with topic management privileges can see it.
    • David HealeyD
      David Healey @Alexandar.mller
      last edited by

      @Alexandar-mller Yes it works here. But you've got two simple gains in series both on channel 1/2 so I had to bypass one

      4273638f-ebab-4d67-86af-99c5d4adba89-image.png

      Free HISE Bootcamp Full Course for beginners.
      YouTube Channel - Public HISE tutorials
      My Patreon - HISE tutorials

      A 1 Reply Last reply Reply Quote 0
      • A
        Alexandar.mller @David Healey
        last edited by

        @David-Healey Yes, my idea is to have one output for every close mic position and have the simple gain modules set to 0 width and panned all the way left or right. Wouldn't I be able to control the gain of every output by doing it that way?

        David HealeyD 1 Reply Last reply Reply Quote 0
        • David HealeyD
          David Healey @Alexandar.mller
          last edited by

          @Alexandar-mller Yes you can do that, but when you have two inline both on the same channel they are going to affect each other. You need each one to be on a separate stereo pair.

          Free HISE Bootcamp Full Course for beginners.
          YouTube Channel - Public HISE tutorials
          My Patreon - HISE tutorials

          A 1 Reply Last reply Reply Quote 0
          • A
            Alexandar.mller @David Healey
            last edited by

            @David-Healey Okay, so then it would be something like this?

            HiseSnippet 15950.3oc68s0jbbjcd8.fFjcSRvKK2KRVZc4wJVOX2g.cVU02VJxcvL.fyXxAyXLyxQaPQgsltqASsr6tln5pAA1Uvdss7EERgh02jsBE1d+IH+ndRLB6m7SJBGgc3H7C5mv9neyNy5RWYUclUkU0UW8sChfDnyLOYlmSlmuy4jYVYdrkYG8gCMsJsQ0SewU5k130KexKFXe4dWpYLnzA2uzFuY46c5gGchzoO3jSeRM0R69hqzFNTuaoM135eDoPaT4Fkb9yu5GrqVOsAczCRpToO0zni9mXz2vNH0i24iM506gZc0O0nOUoU24fNlC1yrm4HbG55kqU5JsNeg1S0ejFoXWqbo80FdYoM9tkk6nVW9hV5Mq05bkKzUqWW+BcjtZi1nyu3BcsZs0zp0oVqRabyGz0v1z5DaMa8gk13F6Z18Embo4WNvsA9TigFm2Sm7CToSvsraxOzrWWBKRRszdWZzq6w9RpgkJsQ4iCjaW2Ut8tkOznqw3zCjeukSFRATPK.23Zg6dWOT2CQ28pQ08Xzk1fpKcC2tzaW9jNVFWYGjCo+7ZkOXfst0EZ3wI5thaYKc8+7eiqWdOSbQFXem9Zeg9Csv+XLIaIipWeaoVMku86Ws5cuqDoo5JYYNx1XvSk5qYaY7bogN0kjEdPwRGOg36WEOtNzV5YZVRj5FKazsj9.ImoZ24o51O1k9CcHeqMCMiaS2V5DcaoGMp+4XBMuPBKeGLPu2vpUuvzRZKiO.89RFR+1RxMw+8266c6p+rpUF2R2QqaW7OFn2w1vbvVnsQ298kv8cjjsI9+0wst7YB9DJuMgq4lsx1Jwks51pwkc8sqGW1M1tQbY2b6lwkcqsaEW1s2tcbYipsMpVrE.KRQwV.4sQwJ6PJaihU5gT2FEq7CUeaTrRPTisQwJCQM2FEqTD0ZaTrxQT6sQwJIkqssbrRRYz1xwJIkwSBiURJqrsbrRRY0skiURJWea4XkjxM1V1QRVsxcuKN8gl8zuyUVFCr2xvQypyk5c9BIhlYGSKKLUi0wF3nAOr5KIpzGqq8ERGpaSRfBg3SzeldOmjOX.BiR3iFgwI1yr+UlCv+XqMCUJBFAqJ3nQ1hTCjhwqJNYz4hTEjhwqJN07JQpBRw3UE6Z2WjpfTLt8BDRf9.hO8xBwDx7q.EQ5.Jbo+LQZ+y3R99WJB83Rwcxz9BMWZetUvCO5iEoFHEywnGaUBgzHhQgPL8gXTGDSaHFkAwzEhQUPLMA9JBhzAhQOPH0.9ZAhPtBWk.QzA3pBruHZ.6yWAPn4+wL8WrY+dd7cn1P7ukHAYDx9fa5jjq4nML1KxGfc8uCtxnHrljqtP0PDcmg512yF6q44ir02JbVmYz09xskHVoElFu3d1V58Pg0aCJFxUyKt9JRxSuqZXx30xN4wr6lHUi6vb6uxtJ5w0ekk7TyqFlLdsrSdL6uIRk.BXEWfk35vJRdvJUCSFul1IOlc3DoJYArpKNVb8WUIOTrpgIiWK6jGy9ahTIf.ttCtYb825RtnlUCQDu1kjEyNaBzjrnsgCDcb8zFRt.zUCQDuVkjEydZBzHfPsoi4f35pMkbMFTMDQ7ZVRVL6pIPSxB0VmkPGskzYQ5msNiWShygYuLVJDPb1d+KSnW1VZ+KizMwDwqUIYwril.MIKNQ0brlFq8fZRtFSqFlLtH6j775snZQrHjDci6w031iQtFvisKij7seGgPtMtSl750ISo.8a46a3DCZBccYI2xE18Ep5QQr5QIo5QUr5QMo5otX0S8jpmFhUOMnpGr2Y2Wui1KjdrlsNUsd+Gr289QO4w26zGfqsZ2oshSQ2ajkE1KOoOUq2H8gUIEryHKGW9bbfq1cp89gR00WoIR10kjIR10v+DI6ZecxRiXlpLyTUXk5YrRzA3YRFYeVo5pG4jLV5PVCbKo8z506bsNeAkvjHCdvfmZLP+NcrzwBZmRdz4+DxPCdPvwEOmz7IdqKFMvcIZHK.5cuqy3ouXWJvcbGodXWXIti6NL4ThsHKQpDMMtiIQ7iLJUDkPJZbGvh3KWhsj63YDGpRnkbGri3TSxsDJDQDuKRncblmD1JexshRHZHlaSnUNKDAXSeI1FNS+BaCJg1vYpYDi.I1LtybihAytk7WfO5Igiqsqv4POUDC6zW64a4kz19SSoZ+wT3OQjlDbZaOdZ5X9bLI9yCoIAm11imkxpc7mFRSDNssGOIcx1weVHMI3z1d7bTlsCZxlA42JnIaDuofgJure4kY1BJSRghOEJS1BmMQwOyqzmwp58l6QW98uba+4kSV8dy7BM9su+v29rZA+oczjfSa6wSJcmv4LmCOgB++eu77ONUsjzOy4+abgzVzyd+PJaY21oD9kj7mP14nH688JwKc9a8dC0iizu6GPYYMLot+eLGim3m+7sDeVmnF9gzVr4y7tZrzTlB1mPbr7OwN2nyKtwbBXxGR6SBeF2E2glxTv3DhiiwcFbH9OXdUww7DPwOj1yK9LuK9IMkof4IDmznNFOs3XbBz9GR6aIeF20J.MkofwIDmDieJp.GvQzi2nXFtQgFsQoYvFkLKKWfrrLMKKGCKKGhkkSCKKmLKqTfrrBMKqDCKqDhkURCKqjHKeVwwwmQwvmwmeOilcOKEb6YIxr6eYwwsXWz9PpPU4yuN9xQQVJ3XLoIwxGsewwxXuLobOY+X7NY+PNmreZ7MY+DYYryoEGOS7S9CoWlA9bsqK0zTlB9lPbB9j5tBQFmq2irieOS2Zng4.oYfq4DgQfK1dqWBNhTuVe3CMchT8gZcrMs1hxW82OfTWGTEkV+PLobwSTRcB0zmTWGjDkT+.NobwPTRcB7bbqhRSihnHTNMDJSQnRZHTIfvyRAcmEPlCFlnz4EfZ.RfvyB1OfPWkIQobb7ptGpwwqLRNqZ3ATD5bRQVwPm1aKFZAiOJTQJUn46iOrSQJTnY1iONSQJTn4viOvRQJTnYq9GJonUDJZQjmnHxQKhxDEQIRQNKZINKRA1+xnkfd9i+4+Ip7a+HEgb.ehTFp0vfd.SnwKQFtDYzRjAKAFqRdnJ4QpDGnRZbZ+jGlDXTh2fzKIaABVtaqY4t.7ao3r8SNQkNx11bvPu0w+b6A03dnWHYFrqL3eghqnnPEUNthJGpnJwUTkPEUMthpFpn2q+4wxYj7iR.JABPQIPNABhbJqvIdrgcmKOpis1yziiVphwtJNQuuQhU.oPrIeOx9ckD4jBMI4V53YcwRqSIXQ3yRfrmMAQOR+4w1Vj781vuGLP67d528YteRBRSLOW4JKGGZH+SREcud8NFmhtksg9vsBMKKnjpLKoWQ0cZwtd0IgnOS9ye+vYh7pmH452KoHEEMyPjRxEyjNcdrzcKupeaoMuPC6JrmL.Okyf7AML4gRijfmJwD6hpedgk9dohhgBDSJjigBYlTnDCEJLoPMFJTYRQ8Xnntm3audlC4H61q2PtxNRdS1l3TQwPAhIExwPgLSJThgBElTnFCEpLondLTTmIEMhghFdRaGLFIOrvCM6NpmdHwNEFXHQuSQ0HdrtIcQB2OnxAkLwHtDKmLwxbIVIYhU3RrZxDqxk35ISbctD2HYhavk3lISbStD2JYhawk31ISba9SRDXJFJl4XhLICEZhOw3L1BE+o9jBDauxo.L5RjzQIQHhCgxIQnLGBURhPENDplDgpbHrdRDVmCgMRhvFbHrYRD1jCgsRhvVbHrcRD1l2DfDm5f3N2I4IOgmJ63MIuowjLisu3T.FcER5njHDwgP4jHTlCgJIQnBGBUShPUNDVOIBqygvFIQXCND1LIBaxgvVIQXKND1NIBayaBPhScPbm6j7jG+owmn0+pdjOyufpwKoP0gym0ryu1ZS+7C23doJm.UxLoRIApTXRkZBToxjp5IPUclT0HApZvjpVIPUKlT0NApZyjpvyWXMfUiMcINPydjFkzPMh8XMJoAajRn4l80tZnz8rrzdAUcMzIqCIY8A9ULo5NwO8OwXnyQwjDaiY+yMO274Tj2o+4iKI2froKTXNgNGjPzi3WApBUAp7qf5BUA04WAMDpBZvuBZJTEzjeEzRnJnE+JnsPUP6XFFqI13XsXpBAmJ38IjRkjy5Zrogsd+gatM0b667SLMFr0l+tC171jVktRROIpomj5omjFomjlomjVomj1YPHWKCzH3HS0pFC5YfiAx+fgKYNftdHyirL6sUG+IQaimu0ajty8mgOP4czF58O2512omoV2wjuUP69YNz8dnOG2puD2vh.1Q3Audv3SvNy9m.bBRDVQcFwJHQ3Ej3LipHLS8YDynJBynRwLwyK0EgWZLi3k5hvK0ElWZHBuzZFwKMDgWZHLuzTDdo8LhWZJBuzTXdokP3X0lQLSKQXlVByLsEhYlUnxsEgYZKLyfpID2HOq.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.OobsQhB9ZIOCH0iurpjTM.KH9VapAIFtK1l+vKMxOCSUHlP+htVUnledTdWL5ZMyGdSV6k0XWpUeCEGGC6exI.U6YlKFU8YML2hgd.hma+bWWgJiUTlmPDBLIR.YCcQdYkIkNrl1DqvIAYSAYebVogUoBemLSoRlybrwYm9YYEkJX9OOKPVVY7zNNd0hX6Q6rZAeB4E7z3ybHmlkiakiBlgLoyzRURJjJ4F4aHUx0CaVUMwA5VIoU0VXvX4zXhhojoAkjgQj9MXIYDbKXkaDqjYR9tUhhN1RFZLFAkNB5JWSJoCCW4ZxR5H3l5J2LhaUoU7j37Fe4GCwSElq8YbJVIoVoHmupUJn3EO4mdUkJ7l+njmZWJJ4q1kh7TN+I8pWUDW9jd8KE07U+RQo.0uDZM7mJ0qV4r5UyBT8h4jG0bU4pcNqb0pvUtDW7jdcK0Z4rtU6oyxtvpVr78MMqVsbLaPES8vjcerVNuh7sKZEwD13EAEcYv8RTN6dYsBTGMGkbYv0S4b10Szb1zXZBoKbP+nLnwNKB3qRQGG0TAQj5Y5Ulh3LEeUZJb42xRncIOdQGaGyf6xtJl7hpJ1bbDKGrBOdDioBFRXaIgFqxhCLJ47Xkbw4.CKaIYTxgx.tjZNiKoLuCxHixNQQHnUXqmyJrpywUOSJsqd1T6Cyra00VPVspYfOLSwh4k3zco42p8srr7YoxGln1DqLcZXBOhU3pXywQr7zGlzYNQI+chocN6DSqhxIlpUpTg6BpmQAHCCJI5LiRsb1Yl1E+1QTIJhQFkeYveFETNq7Vqv8mYRwmZg5RyLaGMVP1if70klTuKA4+5xL6DfE41VTzqKizTrsfS8ByTLJYywgr70oFNNhJ7mexT6WiR8bd7Rc9eJJxnzKCKPiRibFfp9b+HVjQgWV7noYNq41nn7nItMIVMqaRbLmN0TuInEx1GWn65ZA41yTuqqIbd0S0FxVHak8xxN.mgU2oxzOPVKsCjRKF5iywQxYvp9H5.IpvNTNytOS1YtaSoAhCUTGUGTNuSWnhamtJ.4Y5O.Onb12JTg4aEGr6zhQmqKIwp4Y6Yo4jNLUarSJ214Y4wBalcNHVPN9.455ONcmdfY4gEalIUWVNICoaQIyoAxYvYHqPzGmiCj4pm3S8IRYFZTdE5vprzr08o2nbl254raSVZ9ss9KH6BdAbTsyv.4LXqBmYx0kk8iOEJjEi5n7hzoroHGEKDKxS6G.5L0d7rXSfWmOm.4p43oba+lkmPmY1lQufr+s4n03oaiuytxuz7aOwWV1G4EOcQ4EUcw43vXNaKl006V879r.DO.ap+f8W8Nl.KU6Cp33Dyl8XJ9yNlzzXIe1s+nKHafXtenSpTY1N9N8nEEhzdYY+LSotak4lxq7hpx6bbzMuCCeNrciSks9UmMhboYmVlNa8EvZkm3DJoJUVOVH8EjE7cdMmRsXlSsNsXPEYDuE3hHxJj2FY3E8HqGSyY4ruUn.XJRmtley9HAP8x2uJmWvvp28tGLnqwyL5NRqmzGQd1COomQWcqgzOYhewfyOX.2WiambC+NdiS5nQ1wQAN6IH4jQmGGI3rmfjSMuJNRvYOAI6Z2ONRvYOYqfhsQPSRfbrDHOIAJwRfxDDbVbk+rIJ996GW42e+IG9hkfiljfGdzGGGE3r2z8U57Psg15Vty093AlmW0elVemLHo2o2P+mSyJgR08Mhb7S14Ct3B8N1jmqywUYMoCbeQvSKgHImojYfRYImYlYfREImInYfRUIm4oYfx5RmhxDgMjNUNSD1T5TkLQXKoyxDcsk1+xrMGnlDYlcVnDI4LCmP5DSm6ZXgKu2L5JglS6lk.0urz8cJZzdmvUfxzVApSaETeZqfFzUfOpAFawsLepYuQ80iCChtbNfQQRi86D63BQ5Cw99IypjrexXcdAaetDFALz7Lb.kDeudNoibOaaKiyGYqu0yuCIaexItADzJ0NXP3BGNKJBcevGbrUS+ZODt5PXLPd0mSdzUHlxummkd90nLFajWM5jGqZjjN2ZTAiYxqFcxiUMRRmaMphwR4UiN4wpFIoysFqeJhWERxhYODwu5ZbpLupijEypSle007TEdUGIKlUmB+pq0Y7pMbNrpry3WWs2+RdUFIKV0196Gy74ZGsO24yj7XNeNtJDgg44ViNYxpJIoGtNeoyCgN06FCk+Pt.aCMHt5+Qtuky9tCQ.NB81W2H38tNDAbfS8xcSLZfwscezqC4Eme2IYvzvkzGNMbpbATCWrj.UYV5j.VCIMDDX0ePw8EaNlQj8BbPchQjlrFQ1iqSDd4xcDwouj7vAUw7GKnRh6.AUYRZTXxhJ9PvdBaayeH3Xm2KocGYaia+i5Xq8L8HBF2RDiHwo.NBiwdJ3jzwVNAM5+SBg2qWORp5V1F5C2JfDrl8UCM9o5TEmTNxAg+847Zw6TH2NbhuZ7d+xQvLt6PdJw8a2skbeyQckJr4zvs4l2l6qc+j8raOon9D89FwwYj7yE9RT1hzfIwTTcJFrzd35KNVhjedvR0tSMg4JRalDWQ0un4JZDoqBFRowingiPxA3QTEOBZzglcG0Sy1zZqMomLMAnzU9hagaNRgSnwbFhY2TDYfvMEovIzTNxcplhIRmaIiaFA0y4Fk3Zh2bswbGyGdswcHZWCjjpx9EKlS63uOTNqYqiDpOA5kZj91AuGlUbby8.xDygF1uXqfHJ7VpvHaEBy9ebsHorAayZlZtHBjfkklTkiKQMd073RfRrDxIVBkDKgZhkndhknQhknYhknUhkncxRLADpbkptq5ryigXr.fA1k45SBs5mGvmkNtvR6ZY9kC0sj9N9H6eOoGo0OjeAWzy1sv9kkm+AQKHkeB3Yh15Om.6PlS5TH19HvwlhCEw6hTjF+NCuz7K8oXrL0yxyCF7Tbi3z8GYYgqoeHlBWxIbuqJxlaRT63aywo3tx7s1jvcatszlmn2irtTjAXu7wsJQgL0UElfD6lNlFqjfsQpJmsgQZg63IGOyvbzv69Hxfl+TEmIHC4LDQJovV78XLx96PnKfs1hbXXHbUZkUhHpdI+YWOKKcceoTw088jybGJoFDvD3wZwMv+Lpg8fnzNznC9+dt2HNMV.lJmhfKAo.7PBBWrv6qwgNwtPZlOPZrOE6coQutN+hr7jXSeNkXyayKh.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.6o2fvBBfU58PELF6js3rFlcxVTPj12CUqV1.McoLC3erHTHrLF8UgvkXPm.XLLnRH.CFzInxOKJEUQdLsQ+hEmvwJ1ZfyZCySNAcVaadxVTHTFVCBhAWvfRAU6YPInIsPpIImrlzL0GPmI0EnafSpDMS8Db4VmctXxc8R+SIY8uYW3CvryUWGBWVUHTSVgXlFlKnS.AIsXoQTOYMhY7hw.5DfNQNYcIWzHZHfFQArfgfFAnQT39aM4JTKmvJTyd6HwpMxv5Vu3rt0K0KDInaOe8bzQ+mkkxZIeBD.ffBBH.VG07bcTg0lLGgORE5gBfdLGPOJxUAFhOXodkUSm5rJnNWLpyUlmKhMnRuDuvvoz895fF8bv.cguF7fJ8R65ZmRE5FfB87PgNCag.nRudt3cU3pQix5JvAqaLrjXqTaJ+Z8Rogx5RosN.C.mvQXMwV.9PRRyRhsNnVBmyRXosVnzKqu1pWVovWpoJft4Z9ZTkJUyFfpYAtnQfx458pMIxGyYZBxDVGlobcXpTjwyVAN34oY8sWdO8lxYM5TPeNW0mm8ABCpzEv4vbQUgtNnPWvJzP.zq6W6CyTE5FfBcQqPCgcC2jK4x40PIq9bWnA8AdjN2mquzrpVUltEZJ2W.Ykr5DbgpgAWoFfJVFUwRgErJy5qTrz3SZwpeU7mtVPCCzvR4R.k3MTVZreUzNsAqxAngkUMLgicqxLYcUTypMrBWGCLiAJYEsRVNXDqdVUvJdiJfJFnhUzpXoaQHm7NYSIS2Iab+7vTfO3S3lZKeNfhvFOkmexcqWWV8oABSAfv.Hrk9uVP3CvaABRQEfT.HkUguzQ3iGbdbQ2I12TH.p.fJ4CnRwuRYv2V0BhmJM.PE.TY1.pT7KFNfpjKd4jwqmeXAUfKs+0okKcY6RLeEdUXjgUgAvgVIwgVMu70WAt2mRCPDrxM.PD7kHu5hEsHtbOxvx8.HQvmPMfEM2WjHEH3rEmGyoU5u8a3.FqrrEvjBDvzZJ3vZQ7Dq9mJuBGa.BgYM.aX8vCe3L6lYrAUvug0oWH14v0E.DZwL3aWrv7cPE7c.7cnvtfEAzg73vtUI+emAD3YmF.GV4eLpA.hUQ.hzb0ZMEu4so4XsBuDtvlYtPcNSWduzyVsdmNy7ATEPT.DkEsSL5xKnxpzSLZlOpo.jB.ornGi1pOnx7cCWQ46YFEfT.HE3cvYYFUIkOIMoa8TTfneVL9RSgXCfCx4Lx2AEHbjEjU4C7VekPMundvHyAsbHBgU1i4.nnuZb3JSmZtJXLec63NB54qzmRRT9dJIA87k1WnIPSegUSOedWnQ46YdbsPUe83THBJ6KNJ64woWTNeWscXGtx0c3BVX+4FRxb4vWWYgZU5ky2UoGvFVlvFf0OXQGdXNu59x46p6CnCKwnCPfHqR3C4wlBHmuaJ.fNjqnCv1O.vCExVIjGvCfyCq7vCf+CqN.D4yNPHmu6.A.PrbeQtCHDqNHD4w1VnjugWrRekFW3JqfhSRJNKOen.4xFInjud6uZqsBV5.E1B5K6IklWquTnvB9lBZrqtmceVZqp4q15Ju+ofBKnvVHmVOBYmaoq8E9ZtczvZtpe+pNFdS7NFUnaXCbEUgysKnJb6iVDWMwvMWBr9oK8OgV4w4.nXtV1SKpnJfJBnh.pHrsynoxOtUNbw5.tHfKB3hvtsOUHiUV3eB.SKtXC.WDvEAbQ39+bw.Ybl87GJzsyEDGMfKthcqmUzQYBWJny.22TfvZAXpB+JdY09br.WqoerXmNp7AnBhyD.pVM.plCggA2Lq4NRkJ3REfTAWDtqsdUk0cCsvi8SEboB.pfax20YupJhStQNfTUGPp.jpUxKh34.T0ZER0z+QAUKEOOmvl9M2wofyIv5zosOG8Sbs7lINe.2f00B.2.vsE6Sh5p7Mq7LEbChvD.2.vsE8Uba08hgNG.2hrP+U.W2.zM36cD7dKutUJqLmcdC1HS.dCf2Vx1wzkW7sB16MXyOAzM3ixdI+4dcYBfaVsmoJvwkcI.daEaS9lumnC3Bfb1eonmOfMfuT.XyJvIOE.bxyuL6oEtABcaMFtABrA.blUgRoBvMKCGS9U+MlBfbVZOn7b.bPE04ces3aHAVr3koywzbE7dA+kMYg5bqiJpysN.RAfTKxfTEuGeKSvTy2yeNpnN+4.HE.RsPCRAuSbyFXpbX4rQ4x4rD7jB.ofC18JNLUZVYo4ouTpfuT.LEb.sAfpTBTk1miroEmpNfSA3TvQsFPpRKRUJhWrR5.pTf39f8kBBJJEZvqYG1ZTQcXqAXikcXCvz+JBvwrKtHEHtH3tJCfNVYgNRSfJoB3PE.NfMTAvNVkwNRyRivC7PtnVjCXgJgKZZX8TxC7o4y0vctr1HxE0Zi.nM.ZC3OzxLdSdrjJxE0Rp.vMvEMO.3rTC3jCKDibQsPL.bCbFZADmkcDmTc2CxBuQonvafEa.zFW00FWvW02ysz09hwHAczvHA0+9UcVV2L9hwJyEQP.bELNQc3Bxo.tOtfCwL3OKrZcSyBCULWlp4CFac.iEvXALV.icNGgxh3qRY9fv1.PXADV.gEPXm+KIyh2aiYZgXUAmXAHV.hE13qE1kZeA7A5Le.YA+XAPV.jE.YWLbksHdmPqLSQYqCnr.JKfxBWbOqh3r4wsgSZfYUfUL.fYg6OjUuvoWUuJelKndfyk.pGf5sT32E77slZLOHfZ.yakEya8HZy092PVzzbMn.Xd.lGbYUsbf6sd9N1VK+eGagkzatB5Aap.7V5tvBkuDeuUMKQJA2CAjR.oDVvwkr6bqYJRIDHMfTBHkvxTt3hUNqVxQYXIGAjR.oDVbyUJzxo9pNqV9eM0CfkEMXIr3Z.Txp98z1z9hGOC1mE3yo.78B.mKVv4k16dyY4afZgseI.hGf3AHdvENrvfd4vFeflua7A.4APdq8OyJ.nWJ.8l9cv.Me2AC.xCf7f8T.P8REp2zdloQy2Mh.9RtfmaF.QXc549tfdztSCHD3SB7bc.vcviqURaZq6aVE8SVUi43SVE2sLsAbdOfuGWHZcvxHXYbN+3rj7F9Bv0.bM.WCv0qG6g9Bz8ishHupz.fM.XC.1.f856JAklaZ648SyEfWC30.dMb5EVygrmQeahyfWFA.vF.rgidA.mszdo8VYdeQTBHny0O4avcPX8VAv54ygwXt9gomBbWHtX.HD.BgSP2h1InaxCyVyEtCyVnZIBTaSvE2hvEWv7EX9BLesFX9xym5WV8kUuXzfN1FlCjLG7HSa8iFr0sqhQZw4HEMqKtfYd6YNv1xrWOcKlYepQeN43Q3VCF0+bcKOdZbAKswMdPWCaSqSr0r0GVZix6Z18Embo4WNnzFWuLpzmZLz37d5t+fXzf7upUpCtV0GXSUPyAGLvv9nqz89co8tznW2isL6nObno0vR3TbIpToM9HudEtn1u3Jbseqxmzwx3J6cGYaaNnjQ2Ra7Vkwlo1qm4P8CM5bnwyK4zyKsQkaTx4O+pePon0xa4UK6Y1+bycMetW8zo+4mn0+pd5GpcEBEsdT1IS0Ssn0SMAqm2LT8zNZ0HmopoUzp4NYpZZNtZt4aWx6OYnZZDTM2ZJpl5QYpualXJ0nUyVBVM2JT0DvSaLE7Tvzua9Z7pFFJC2jnLTS.U.dzhlBZkEf04QqR.skRKspYi1JDZuW+yyn3xmbzzQtbJH+jdFc0sbH+sKGwrRzp4u7CEoZ9ZjpA2KLzGzQeZpn2hTQNnvSSsTkTKGaX24xnzK1Ppis.G5Opis1yzy1PysFWKmn22Ha8jf5XOhorLUGNSQN1R+YSA4OR+4oo0oFKtU4OQ+Y58NTGOE6fAQqiezWIRc7JkcB1Kacf2jpCfieKa8fWsrazeSeW.GP2TzEXPc56B3.7lht.CpESqjtKfi3aJ5BLnVrt.8jwSQSwjwIINCc.4ooCHmCc.kooCnjsNvaP0ANKas+MIs+YSO+u+9SA+OIwouCbzzzANZ+oWMDG64TnFxf5X5BTlTpV1e4IylIowzilR5kmR5UlR5UmR5qOkz2X5MlbvfLhi9VgsKmC0B13XNTKX6a4PsfMQkwZIjkZTdTIx4QknjwJgFu6rbnir+k4Pkbz94vPLF9iUs7CO39Z1ZkJswFdK.0wVlWoaYaPVuqMtu9yL5nepS8Wo780G9E1X+o13iwwvek4.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.YgSAaKfffTPUUwjBNkstHh.mR1PD9mTx5HgXdOk95xBv+9kUQ.QfeYaIlTvu3sEQP3U3F0DQV3V3RYz.SMdFX14Jv.CXfALv.FX.CLfAlTXfI5t0yw9B1bBXeAru.1W.6Kf8Ev9RVsuzhm8ke9+.v9BXeAru.1W.6Kf8kLaeoIk8k+leAk8EouLh8ke9mNg8k6C1W.6Kf8Ev9BXeAruv6C+Hv9xu5OAru.1W.6Kf8Ev9BXeIeruTm696+Sf0GCru.1W.6Kf8Ev9Rlsunxc+8UA6Kf8Ev9BXeAru.1WRg8kH2gHTa+x+rvKOFX6.rc.1N.aGfsiUdaGQhjvfwNgjsvWn+9Jk9iA6Kf8Ev9BXeArurVaeg4NsSae4UR5VGj51M3TJiJ+he9N1jagLrkI2dxccTUM5DoC72bUzNvOWKMc.DuN.NDJ2NvaV1UFHgEB28nAIJ.14Gyx.K+q+Pp1e.q1+UK6pEVxRqqg4GYYN5J56ltH16ueBcmpIciJRYj2hU2obYrRgX8kCXzWFeeT7Jku.i2qW5Y92Ar9IjhdK8Jp9UOksvyaZalEdoqC+JBbwQxIL8e7K85yudYeUQo6EY1FlIi1C02IcsO8D9+5+nDZ+cKkz80Qpae5I709WkP6uWTssuHg1+MRwceYP+X++8g+ZH7U7cKtjW46a106Zboiw458J02X.8UAiiOv9+b2cvTd0IF+T+aKle4e1e1e4OX3nKtvf3obYot6houa2d5GaNzfbaJy+dc4qrhxz+RaAYZV2TmA8x+h+CzpL+TO19sCD+yYFmw1f76IHiOwMKZPW7U+So2Zeet9VkcJ87lkw.Nwie+ZhbMnRog8myhYekxtkKDWsUXtZqcxdeFaBlRjbyWO3xFS.yhSbcrFzoZ8ejdB6+HOt4MJSWZV.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.6VQTXiS8PftV4RCwb2A9U4D8jWQfK4Zd24aQ6GXu530OpRfWdlg4ngoo0ctiroLz9mlwV+lkcpIFHoIe8ZSE8yuO84I4C2IoHw9pd6jFWbJUJ6t3H+Uz71sR7Z+dpXJWY5MJiqmhyEtg1ufnHUs7mRt3G6fCUWrQyn2U4Acnc94g4b9xVV86DFICwUYXhhXdfO9NTmOWkySRm+Chj6q8fNz+2+wzr6GrzNHFGW8au5MHRtw6o5P+AqFZhwyUqbChj2L.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.O6+EzeQXabMxYv1zB2WrIOgyWeWytufbrmGPFTQk9T5iMKY4a7O1pWZzq63d0vRB2Eea2ygO6930XzGKUZlzGu9oduC0O3hKvipAcvaT9g+Ngjayjl+Uca9Wu7IuXf8kAs9qUln2h+EFSktSPFWoG21UqGYRNsX5SMM5n+IF8MnVurq14iM506gZc0O0nuN8MvF43rSq8tw0Cyk2HDWVilKQTboy2BPW2Tmji23lSJwe2xDkqwoSO4kjgT.Ey7AAPUZYUUZi2lotjA4t63iBjOdePijTpIcv.dZT+Ma+j+Ke380wllnkUmE1GkRklPm6W8WcvfmoaYerYOMqnR5qKLqhhmUugvSGHrjzzLk8FhMdDuRunSeemxNh7koNryThkmN7aU9XsEgIDO1bDwo1C0v9Si8o8.rqemfM7zQ2yMmgjKSmeKxNw696ZjeS5PmnOnqyO9+g+iWlHxu2vKSTjLk8+MIS4HYpPmoRjLUoyTMRl0oyrdjLaPmYiHY1jNylQxrEclshjYa5LaGUHTiNWzDxHTnriJkPgDSnnxITHAEJpjBERTghJqPgDVnnRKTHwEJp7BERfghJwPgDYnnxLTHgFJpTSNjTSNpTSNjTSdh4VgmbEUpIGRpIGUpIGRpIGUpIGRpIGUpIGRpIGUpIGRpIGUpIGRpIGUpIGRpIGUpoDRpoDUpoDRpoDUpoDRpoLgNYXkxnRMkPRMknRMkPRsfeUR.uCdGZuCPRjOcm718fevJl6AybOZyCWBJfN4z6FPAD9xzZ5O6cwLYt2WIlo49wH5rL2eMOeAXZt+5dYBl6Ay8f4dvbuq4dYIxG4IrZ.f4dvb+xl49rGc+M77Efo49xdYBl6Ay8f49UKy8JRjqC.Nl6k9udq+6Pz8f4dvb+Jl49rGc+M87Efo49WwKSvbOXtGL2uHZtWUhbwwj2l6gn6Ay8f49UQy8YO59W0yW.ll6q3kIXtGL2Cl6yUy8gNYe0kNEAA2CV6Aq8f09E0stup+4Ujs09WyOavZOXsGr1Gm09FRmJCw1CV6Aq8f09UyCp2q66L.aq8uge1f0dvZ+pt09lRmp.w1CV6Aq8f0d3X4Oo09a46L.aq8uoe1f0dvZ+Bo092h1ZeKoyfP6Ai8fwdvXOXrOuCs+s78Efsw921OavXOXruHBsusz9WBg1CV6Aq8f0dvZ+h0B4+N9NCv1Z+WyOavZOXsWvKXmZRGs+TYt+GsCi67RvbOXtGL2Cl6Ay8yuUx+c8u+kXat+q6mMXtek1b+WKj4djD4cVDr2C16A68f8dvdObN87r2+M7cGfs89uoe1f89Eb68eiP16kktugkdmP2gtWK7iVQoRfIevjOXxe1YxGtx7AS9v92Cl7KFS9JfIevjOXxGL4Cl7AS9fI+0AS9pfIevjOXxGL4Cl7AS9fI+0AS90AS9fIevjOXxGL4Cl7AS9qCl7a.l7AS9fIevjOXxGL4Cl7WUL4+hA1WF.HdKrIer4uiFYe0H6g7No9NHgLLj+olFcz+Di9F1Aod0NerQudOTqq9oF8oJs5NGzwbvdXDxQVtXjQM1eiPPq03Yr+gl85R5gjTYX3uLEWecWt9cKenQWiwoSaNfjgT.Ez7+bv3DQjuPa+7sKergcmKY2GuFi9Hd.YVzG8FXeixO3hKvtnFzAuQ4G96L6GE4oM85tZS60ybn9pftzq.5RftzLXTLzDKdQiV0YHbudCqMUOQ6PDnPDnPDnrh.82jYDn2Bh.cAOBzRoA7DAfm.3I.dNm.Oy9We607+BHYAddcuLAvyYK3oL.dBfm.34RG3Y1877FdHqLAOK6kI.dJB3oB.dBfm.34ZD3Y1877ldHqLAOeEuLWm.OUAvS.7D.OAvyYZX6upGxJSvyJdYt7AdVG.OAvS.7D.OWTWyyp9aaFavyWyO64A3YC.7D.OAvS.7DdV0m.77a6NU6cJehsktVe7n6IZDTTKOHTuegJ1y92wV58L05dhwOkpXe0N6N5hKzsBm5ewNNM085aNZPn1xqm+X8qz0rw5KTz7p673G+QVlitJJUatiyAX6TKsNeAVTPyPGMPGqyXSmzdVlCGdAlcbpqgzYc7HqmRjUAo7XcrEiggSCq+Pq4PVUne3PchdpQGekrfR+Ile4w3gfGfM8zy7J8ir5hGknx2oWT6TMGc4qU182nH+VNxuUh7a0H+tdje2HxuaF7aWA9gZWQl47aVtFR6IG9ji6oMz9ImXzEKNOZvSdjoUesdXDtvPR2TLij35FC9o2ipj6Z7zwsqaJIb.PuIb.PyvoabCp9XE+9nq+V9yGGam+BsQ8r8SMLvwglCLu5RyAFcBqZfmp+zmROal7d2wfgtmsMVyLHk2cmGq2SWaXft8+x+G67IFCz0rBqwmJYARbYQbiWeqxtcWIBZmzx6A285y1Ct6FWmpSV1sSVs7dlCFZqgwlc+jNb5dG0wV6Y5JI22103Jhm4jCcbtMrWJwd4q61KOQuuwhdebO8A1K.8w4727PbZD2xyyGIbKZYu.px95kcr+JQbmZE9D2l8CMV1O2CYeq6lhUed5V.kzGCPG+gqRa7Jd+66qYqgG20GPboy4S1nG1o0dzHBCwdfSF1KWl7J3TJ8DVsLwG.Iz6IOETq7dpSA00euFSA0MeuVYg5Wyk51uGd7MCjeixGcYoLD2lbdD2VoBLtsRPbay031dSbbamiiaaeimdol8PHRs0lH0jgH0fH0x0H0TWBhTScIHRMUHRMHRsBJRsWOtH0di3hTqTbQpsQbQpcs3hT65wEo1MhKRsxwEo1MiKRsWI1H0d03iTqR7QpUM9H0dMHRs0yH0TfcXChTKsQp0AGo1dun+4Z8fH0VehTSAhTChTKWiTq9RPjZ0WBhTqNDoFDoFDoFDoFDo1xRjZv9YuZre14+330hab7FwMNdy3FGe03FGqF233qG233shab7shab7chcb7cieb7qG+332H9wwuYrmMYd2IouYna3WDbE+BWKov0RZ1uhe8TmtW+yMzIpJq.pSuAnNApSyha42aJ72cHVcBtkegu6P36NL+WejeMl91+5vs76L+6NrTZf+f6oW.9Cf+lWvev8z6bF9CtocA3O.9a4C9CtocyE3O3txEf+.3u0I3uU86J2TA+A21s.7G.+AveqN21soB9CtuZA3O.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.ek7vVZj1yMVGVmar8dQ+y05Adbu93wsB3wM3wct5ws7RfG2xKAdbKCdbCdbCapAbtwfyM1hv4FSFBxBBxJsmarNSdtwfPrV2BwpEDhEDh0zFh0aF5SyYg8lT9Mn91bVz6jNebNv88LDkEDkEbzwfiN1BwQGSAhxBN5Xo8ni0YxiNFDk05VTVsgnrfnrx2nrPKCQYgVFhxBtCDfnrfSOVQb5wf.SWTBLMSiDeq3FI90haj3WOtQh+VwMR7aD2HwuYbiDe63FI9aG2HgTbiD+chcjXy3GI96l3HwALGI9sRiNQru4taD2HQru4tWKtQhXeycudbiDw9l6di3FIh+M2sb7iDS9ji6msLsZLJpbBERPghJoPpz54nnxJTHgEJpzB0fFH.EUdgBIvPQkXnVzHEnnxLTHgFJpTSNDRhbTolbHjD4IlaI6CX3jcTolrib5M7yNpTS1QNcK+riJ0jcjSuoe1QkZxNxo2xO6nRMYG4za6mcTolrib5c7yNpTS1QN807yNpTSwQN8t9HXQkZJNxoute1QkZJNxouge1SnS5Hm9l9YGUponRCJqDUpoTmFVVoNODm5LQb90AqvybqvgPbd83Qb70c3f3bq3Qb70c3f37Vwi33q6vAw4chGwwW2gChy6FOhyWOdDmuQ7HNey3Qb9Vwi37qMAhSo9ZcrLeRGyA1VlNNW+pNofcIdflyp4V9PxukPkdlVuQgVL39FcMdRmNgqpIHTNqDpjUBUyJg0yJgMxJgMyJgsRlPxZbduQ1l8cW4mRkN73G3FsyFOH3ANoz+eXL1XbL
            

            If I understand correctly then I would also be able to just have my master gain modules set to 100% width and C, right?
            Any idea why all my gain modules are broken for me?

            David HealeyD 1 Reply Last reply Reply Quote 0
            • David HealeyD
              David Healey @Alexandar.mller
              last edited by

              @Alexandar-mller That's solved the problem I mentioned but I think there are other strange things in your setup

              c7c884f7-150f-4eff-8aca-9a89d36a3e8f-image.png

              I think you might be over complicating it, you have simple gain modules everywhere :p

              Are you wanting to route each microphone to a separate output? (you only mentioned close mics before).

              Does each sampler represent a different articulation?

              Free HISE Bootcamp Full Course for beginners.
              YouTube Channel - Public HISE tutorials
              My Patreon - HISE tutorials

              A 1 Reply Last reply Reply Quote 0
              • A
                Alexandar.mller @David Healey
                last edited by

                @David-Healey Great, yes I think you might be right.

                Sampler 1 is my close mics with polyphony group 1 (Kicks, snares and toms)
                Sampler 2 is my close mics with polyphony group 2 (hihats)
                Sampler 3 is my close mics with polyphony group 3 (cymbals)
                Sampler 4 is near ambience mics, poly 1
                Sampler 8 is mid ambience mics, poly 1
                Sampler 9 is far ambience mics, poly 1
                Sampler 5 is near ambience mics, poly 2
                Sampler 10 is mid ambience mics, poly 2
                Sampler 11 is far ambience mics, poly 2
                Sampler 6 is near ambience mics, poly 3
                Sampler 12 is mid ambience mics, poly 3
                Sampler 13 is far ambience mics, poly 3.

                I want the 14 close mics and 12 ambience mics to go to individual outputs, so 26 total.
                I think the GainCls and Master Gain12-16 modules are redundant, leftover from earlier work.

                I've set the channel amount to 36 on the container, so its different from your picture, but the routing seems to be working for me.

                David HealeyD 1 Reply Last reply Reply Quote 0
                • David HealeyD
                  David Healey @Alexandar.mller
                  last edited by

                  @Alexandar-mller Is there a reason you're not using the built in multi mic handling?

                  Free HISE Bootcamp Full Course for beginners.
                  YouTube Channel - Public HISE tutorials
                  My Patreon - HISE tutorials

                  A 1 Reply Last reply Reply Quote 0
                  • A
                    Alexandar.mller @David Healey
                    last edited by

                    @David-Healey All my samples are dual mono so I have two mics in one sample.
                    Im using the multi mic setup in the samplers such that, for example,
                    multi mic 1 is mono1+2 = kick in and out,
                    multi mic 2 is mono3+4 = kick sub and snare top
                    and so on..
                    Which gives me 7 multi channels for close mics and 6 multi channels for ambience mics.
                    I have the different polyphony groups for different voice amount settings.

                    David HealeyD 1 Reply Last reply Reply Quote 0
                    • David HealeyD
                      David Healey @Alexandar.mller
                      last edited by

                      @Alexandar-mller said in Pan and width Issue:

                      All my samples are dual mono so I have two mics in one sample.

                      You might be able to simplify the setup in HISE if you split these to separate files.

                      Free HISE Bootcamp Full Course for beginners.
                      YouTube Channel - Public HISE tutorials
                      My Patreon - HISE tutorials

                      A 1 Reply Last reply Reply Quote 0
                      • A
                        Alexandar.mller @David Healey
                        last edited by

                        @David-Healey Yes, but I have way too many samples and too little time for the extra work.
                        Thank you for all your help here, on your bootcamp and youtube - I've leant a lot :)
                        It's my first time coding and working with HISE, and it's such a big project, so you've been a great help.

                        David HealeyD 1 Reply Last reply Reply Quote 0
                        • David HealeyD
                          David Healey @Alexandar.mller
                          last edited by

                          @Alexandar-mller said in Pan and width Issue:

                          Yes, but I have way too many samples and too little time for the extra work.

                          ChatGPT can give you an ffmpeg or sox script that will split all the samples in seconds. A little extra work now could save you a ton of time.

                          Free HISE Bootcamp Full Course for beginners.
                          YouTube Channel - Public HISE tutorials
                          My Patreon - HISE tutorials

                          1 Reply Last reply Reply Quote 0
                          • First post
                            Last post

                          23

                          Online

                          2.2k

                          Users

                          13.5k

                          Topics

                          117.8k

                          Posts