@oskarsh this is where I'm at at the moment,
took the frequency directly from the midichain
then did the calcuations for bending and pitch tuning (coarse & fine) in FAUST
HiseSnippet 4797.3oc6c07baijcGTRMkDG+wNqmYmbKrbksJIOxT3SRh3xkkr9XrpQxVVTimM0lTJPDMEQLH.G.P8wt0T0bK41dM6kT6g7GwdJqqopbImxeB6dIGyNopbexq6F.rAH3mhRV1wZWOhn6W28u98d8qeu90fBed.1wDadjuiU613.AgbytumacruuqmPtBGdQarPtagpcgSPyMZZX4HrylB4tK5qb7CLN1F+JWq5XgmdQaCeeroPtby9EDhxs3bBze9gm7TCaCGfl3hDDnMZWqVVAcKc+09RKa6sMLwGZ0hiZ001otqyFt1tc..MKRTnsQ8WabB94FDxlAI7LC+lB4d.xPQwrQ4xU0MqqpIo2vnhY8iUz0vlxpJXcroYEEyiazPHW9sLsBb8pEXDf8ExM2ScMunVS2ybXCvqr7sfoF4AIgZvHyJdaWaSxTjTpvFMsrMi4T9.eCww2lkw29DzdVlVwk2k+8SnUTraK3Yf4lII7lMA7j3gmHG7x.R43fzbLH8wnZ08rZGzsFBd9HzNNAXuFFojkLZEx8GPa3BD3DTpkwqwa6AOD2fkJKJthhn3xOpQGm5AVtNEccdta.9ENKsbgecgEK7sEJltpFMxrNxn34Zai8xrZhlg2fZ3RNcZcL1akhmZX2AGSHL6SxRQ8mkxKwqylzbD55riiUvKZic5mdfPHmBX+4CQEPZ.k4emPleMaKSrmfEvimG8kNtGKIPAbjV+x+s+4mHLxMVNYiIq4F8Fqjnw+wW96+WFiFqldj+iiQi0tLvtbhF+69h+z+wSD9pc1zHvfn1GJB.wRarWfEQhmaS7ofQG1hfEQah8ecfaapLpUaWGh.K2sFpT57Xz9F60tnKz+aVK.eNzCHTMiyDNyxLnYbkemwZMwVmzjyV2Nq0NRiYGn2yid0FuPBrq4AlzfUUjxX8TKWS.P+Lzyc8ZYXa8qvl6i8pCfEr+I32oQCqyI5g+bgVVll138c8sHKHRIPhmfKNTMotSPgmm0DbATsuoigGdpLGi6rwAiJ7X7hrv37.6xxe5.wn9ZbPnZe4hlgH71n86X6iK90TDNMv4sX8HqCGGvp0WcZyXc58+58lR5zjdZbPW49JrMiE10ZigMqlNBaVeIz61lvF1tlcrMBRtKNwWmvJHK6325jr+nCrb7BdCbSss1GUH9wn8sBp2LaLNSFXDLedUfwPGhtMZqFMv0C5Bv4Pa+Kth79YFtwGwF+Bn0cLruvGG41SziRIvvSAKqXuZf81tLl2r19dvVH3yB2BIr3EVK2riLfkFL+5.2NAVNmrmQfGwtN54cZUC75sNFXWNNXahiK4lg3hA6YQxyDPTC7gm9vOB+DVoD44bgUJEUIuL4mFISfsKO00tCU8fvV9T9RJd.9Tr2wIYPa5cQR27ED9Zb.WQ+te6u8guYWfg3TOgx0NsZSrSsK14DtkqvJiPbsiS6NA7k+U93mB96ehmaGGyCa5gML46OPlXhsMRLFOyZCt93e5ebsMMZ0F3qgEslhhza1d6CSJG+j011xNLlhmhV8UvruE1e0MISgU2Dbj3X2yW8Y6TaqUih7Y0v4xAXevblOPreG3WAkNy3TX+XmHgSKChrL2+LLR1ttsA0Dufn5HErkiYT8uypJc2DwI9EfvpMUS5VTqrEYEzmfD+tKt2+4nFjX6QNHwsbHxns2iuG2vvyyBL0CA7xssxO7Ghsa1SMekikuqiKEJq2BTASpaxpcSbPGmHv72+a99+mnJp0No55O7DB5qgAnZR6R+D6ML6fhJUZBiJc9qpnRmazrKOX38NvNsINOjP874Qq+rMqcP3QgPUw2x4TrMDtQh8W2CTBZ2z0wpNuZ3AXXQ4Im.6Awg2LmDqGD.191ni2oIVYrIttwE8TJi3da9tf8a6D1GAQROcW2B9kqUqCXgKo08Cv1XC+ti22+ut1V0c2iFdxDwzGr8qDGlxfTLtMhMIKRsGL1ZEWqJw2IBqLIxMavdKDUs3cA95cQgJruSvXuCJbszMEV67QtF+Jv.Vcxny7AL5whwSBogE7.0csCMnvgymOvznW.NsMGqiw1IMfLVwdHMxwdLdFsm8spQ6EVajLZ+WsVRi1uwaTLZ+ce6GLZ+Ai1evn86AFsm3y7Y1Q5Lel53cxO+mq8EPjf4H64M7M6dKCUV3k2Pf5BQB3ZV1jTlQNG.JNCOn09mg3qff+uZBkdt26Ckdlq3Po4yGcdFF+rvi92A7JgJzIx3vim8dLuznEWLr7IxSMhOnWtIlzMkSi+Fjk4oyIyGxutCZeW6KX5Bv3R..hH9y75H7WhxJ2+bo6GMsDrwIyW343fyb8dMUMN7yPLEcw4511tmQlCQZjzAB64SyG67HwRv+iQEIAXVgJ.TxXEDc1rQGzH6.Zelg+gFV1DEDvio1XGyW3PswRLXRDJOm5O+7aaTGlwWruA4b0+XD4pK.RRrWo5wRzzLTxblch2rZHbn8iRHlOCZjdOxzJ6DhAv1hl7tYP.Ij5ohTFLxyRqRKv3GabS.qOkCVcIgWByfCeGLL.vkjelAFxSvRnYXaRti+qH0V2vV3UraL.vUi.cNNPmmNlIw6cn3EzsnnMSNWXytTnLOhFSVH99Hz1d3uoCMyIBcMUbng2I3.+vq2fCtNS8gx2YIurgA3Qsv97YzLOpAzWBBbR0TOvwAh5gDrfaAr.ObIVMYw.hZ0XwAlIEGXQzF1POCPNjIbaTmnKXFnXJjh76RxmA2zHrQz0v7ytbEheBli6Y4DR3BnGJKRVNtmw4gEMOhURs.baVh+9Yjkrh5repTorZUYspxg9zbLrNLZX+oHkRUHDpopVthb4xUgf8AlhcPHAHROwgrDXYdzCkjS.k7HY0DHAgjfmIC7BfzvvyOVWg+3EF4QDl8R8L6kFmYeCXEbJH7lu+eaLf.LESBfEPZhoPvm.c.fJ5ORp5hRRkkhFehR85cBbaYDDsKWxQGDmxCX7Yfq6vy3vizr+iPNjaDB0G1ABgAx.tT.fl1wQA.RCF.Zb.fvs00YbacMkxUTUj6AOpL7TsZUYUIYcov.QZ28pmLTNh1U.GAgZeVq2NBiEQ9FmcIEEYpnyaNPMqklQsPshpdEUMlrXdjO8FrLPvj43IT6Lhqow6xjzNZddjyX4jqm1klExaC4+8G+w+7Sxhswug2Xt+WWwiP5YP7kO6F+jfeAeOSinKn1TcVb3u46+2m9yht1M6YVj35qMsMRwOy9ud4u++dZOyRX.Tn2UJjK81vDObSvdveVvcnhyKw7gYNMCMM1siq6T4SICcOib2o18P55kxVMiIISU208DMxZovjDCwSccecKCZ.gSzMOVn2amVehAd6jQH0o01V1r.zBuUN2XiJd6INp3bydYhIN23ES718Ml3suTwDiRDbkeaaqTAWwCIV0YGgEqtIIT74QYDFdubhrG1QK.7ngc1DCqQSSeujC6OAgCy2ZIVsYMp2A8r82tahYGxfiF3J29DlHSGJsCOfpDWABinck7n1sLjRaVgMPBCrCoG5iM97HKGaZARYiKXW8T+dJgLkX2Ns4fv2D1p0wXSSrIs0DVQR+0Vjy3878eumEQT+.GdXW0dM9LlrLj.8JkqHUtpTYUYMEYkvfSCylcR634gAgrFOoKo7aufRhPod1cjOowrzEl0VECXDt13A4QzD0GuAHYpmraRyb5IL0qMrNOKaw8D4rh33IuDyTdsXTBdyLHvaBxpEiRpa1xjKKCHRgkcmO376opnXEkxjyKRRphT0JCMJYzn6be2g+iPcSDReCBdh547nu.XKo5zLNnR9yVbA1FBRSzNB69tzNB2FUmbrkGQO7xOrwvG1X3CaL7gMFF9FCrp++A6D.gU.7VuzYYBXnMKwpoOAiPqaHV+mIgwtbbyu4FEISjA5TbItcTRkIsIL2iwaJRivRZRhNKtsSRTgKvhnTZRhFMtsSx.W.0x0LiHR+D9DCGQA+nKEN5bcvXN9yytGebaNKkUxoII6keC7rXA2E0rciirhutF7W1hgfp4F8D5lUnkEP6AlGrZaeQOtIPu109weZftE7yIYXL4Om9B3+z3ycd1gaV4hu7e3PwWjxygIdwTOlK4WNkHA7z4aBYxsikIPc8I+6zVMLkgQmsC52m13H72j9zq4RJeB9xrikQTtselEI2O9DXlH6d8yPZkzfvFjzjjUjj0pTUA+PoJYx+4zUFSmhla7FPwRJgGk15llCVbOcsdFJnRERQC1oiVJr1rOZums+1CUmI0BrnScM9ivG3WhMfLlMfDeuH4dGv7bIkqIxx55hpZkkkUTqVopV3d4c0CSJUWf5BzfErb.4dDwVnyQR5xh5x5IO49RUoGzdYopZJhxUT5EekUqHUopTEEwxZRUKSw2rnWdIz1H2EhpotKDzBhb1.L6eIRnapIfhnjHgEnqWUUuhnTHCtVKW2flj2WX9zbHIVVVRobUQUYIsxRpolk8I4DiL9T6qGV7WMn94j3TvUtEQr2XVSgTordjV9lgWMxWBuZjm925KZlL5ykUKziB4IzmD9dXRbJI4IFLg9jjpStR7HYQTKKmVFm2uy69JwiDxG0szNdiewUgGIjcZ6idb2YapMX5dm.IUmoznaamlNlXaXR95QYDcLI+TygsLMsjwU3pLaCHFyCnzpUmVYZsZzBxOORou6UFaAKO03bBa6jwPMBEFmSQQO8vvteNnw394Hk412U0EIaCnpUURRsbzUmiPlPeG0QRNAcBL8mxgxWfj6YCOR3LWaQ+FpO2G+2BqMa+218sl+aZev+s2w7ei0ais+Zi3Zwj9m81xWrK65xQxytECi3RZBB4paamdKa689deMD0U5c65yp3q+ksb6VUVAlEx5U0UJKJWsh93ra2XrFt.RqjnlrREsoPLIS3h6qq.uTdqF3UFKBkuDKBkeOYQXzs7+l3ZPU4xRxUzppKqoBchzUzZv6AZl5RkqpoppKKUshpt96+KFkuorXDgZzHH8QVav9NErDopr8dkTyXtBbn2Bf96KaeQ+cQ9zWV6idM6cqMw73un6cyHIUYmQjjzLVooalrkZjWSI4zulROrrXeyxI4aGP+lbYYO9Ec5RqWr.ZcHb7zYqs+Njk3EOCwzTHG47HdMvyxi0rul5y1ma6L65zj5cgHJu6Bib9lXGoe1zmJWZYejPouD4KRXCGcvV0DtL1iGPCy7NjOLy2i1M6I6LCQL6Kzqzd2QWZS2sPrR0xjc7zqVUtpjhvj+NJDeUq5mzuWYxtuCKSx5PwRKSxyde12YWgQ47qRRvv.O6RZLZnsOGfZ2CKKQ7mLPu9tBC6VPMPkjYFcKDIuIUBig1UpVxeddLWiVWXTt7Nb2NJYXIAQGRC7fnRU8g7tgLY20mKAqJ9JsMNbotMpWFzliGCRSVkMgqTUTurdUsaZLnn6P13vehaSurmCFG1yGCqb0UnlgTHFgJeSi4z8BlILVlviaUZyDr+9cvtMJirOFYXsXhN6nI5se553Kn32WFiVF08bOJLsSDAyBzRf0ENgg0uG44hRo+Kpg.4uKDVGUudxtpmFJOoMTYRan5j1PsIsgkmzFVYRaX0g2PxWRTgGsNwBffvd6uEKgn4hBDMWtYEvg4Jk8l9QVmFWhC9bxWb4zkqMrnYYk7KFR9L1a83pbeWZTxzuczeWaDlQCgVcUSbcaCObQ21Tq.Eu+uj.y+ZWm+t6+nBVsZ65Erz88CLo8UIaqiu+xOpvqwWT7wEa5S+K1vR2Gd79qnTdEwUjjqrhDPP3KdMOQgEc+UjHzsBIwc.gwuby7jFWXVDSeSa6gZZo2GHTK7e55jVIpAMK9UOluUwEBMheL7MB53QEHIAeTooIm7NjlfRRADfHQ+mpHEFTzeVqDv9rVo5K12tG7zvJgPFDM7JxpTdK46eCdhHOyHQD5LQwnti78jQB5fmu+Jxxhq.+exW3FD.BzQ91LgmNxyz9SVjPZb+s5pMhNBNfbhVBcDdPQIRcwO+3hGaP+FyAzJja9qVB9Ez3B7sMrc.cj+Z1HSYrKQlFKWrvhvO8TGARKyUkOtkUXULVDYDJPz5fdeIW+Rscsu.T4aeDTzRwC8xEeXQnRW+59VN7E+fhPLHZjeGpkBcWbWP0unTuRQyNA.4Otnig0o3ifYbCVWFQ7Rubkh9MsZDfMWt3mmtl1Mg8uWtvYVfB7utPQ3GZIP+QHD9nq2RRqPYOvDhTeXeQ32FkZ3YTeIVK9bFRXDwAlGWTFlDKE0rGFNjL5dYDqeURuU6fGU3ag4IoifJ3Va8PJKD3RKQUlCYOpvfR9E4QP2kvgn+YrAX3fjQhLV8xwn72P11Cj.5h66170qpwFDkkiIItyfsVMbNwFmVdoRnkpv7fhcsh.vhtxlHibKw93CJ10B.okUHJK.DVbwGSj2PO74rdf9IJsvmdD7uBg+UigJgpuB4+7HAg+OPXyQsz