Guitar Stethoscope

This last project echoes an idea that we learnt in one of the first classes- a positive feedback system. I use the line output from the pickup of my acoustic guitar, amplify it, and introduce the vibrations back into the guitar’s surface using a transducer. The position of the transducer is used to excite different natural resonant frequencies of the guitar body.

The visualizer is based on the spectrum of the sound produced, and is tuned for different guitar harmonics. Jitter GL shapes are used, and different combinations of frequency bands are used to change the color, position, rotation, camera position and light angle. Spectral analysis is done using bark~ by Tristan Jehan.

Link:

Max patch:

<pre><code> ———-begin_max5_patcher———- 4445.3oc6ck0TiijD94t+UnvOtK3ntO1m5cdY+QLwDcHrEfl1HyJK2GyDy7a ekpRBroASVkkRjD6bXv1.NyuJuqrx5O+3GVb01umsaQx+J4WS9vG9yO9gO3d olW3CsO+CKtK86q1jty8isnH6aau52Wbg+spx9dk6k2sJcSVxkRxxD++IV18 yTr+t7hMYUtee0iu318UcuJs8U8uT0OtOySRKVj7asu08oUqtMu3lOWlspx+ tLEYo7hDMWrjbQBkva9Bisj7vuztperw8mZQGwju18zZV3RwhlW5u93Gad3h yi8uuL69rh0IYko6x97psa1V9rrOsGYeqT1vvZsm8YzvXepfGC.b8ls0De.L G6EYtKRVbUZwMmjIojZQpFtjZa9h+IgvjrEO7GuL8trprxOmUjdk+Wgz9dWu s7tT2mnZ7CIVq4rPDx7CQjdCAQhHbyrCQLV9YgHpgGQdIKooeI4Z++9rnknW sf5bYn83iTGJJ0mdPNvA5kTxxKIK0Izg2Gpw3bhnrz3bhv4CGFzDFAu1G+fC BTIUzntXYFOJDrj.aNfBbgGE37HQA5vfBM+WCDfP.kt0eiU4CnzFJ.PFN..k HpoJiSDv3MLFbH0Tlcpi.RkawOdDvz+H.cYsqfD4xFG4CNBn8dDjZcj.ftOA fhz62c61p+t1bjL4Soqpx+ZVB8YAAVXfPcDYMAubJjP6iKP39BUnBEIT8unf xqInp8MnPPaPnc1.UToWXHTWBL1fAA07eBFP.W6bJn3pHgfn7Jd09ppsE8QM Dd0bEXDlyhGy8Eln6Qf7G0Lw85S8A9qo7375S6SY75bsJ2lz215d8xrzF4iv mFfWcODLnOC8a018E0Yb9rLt7YYbwKw34EUM4K28+MO8jvf1UHAil5s5EHJP LS7ne3Jm1uVDWEUqMNN8C.97.fgykOqwmm7AHXSdQlSQ4IlCFJbwpOvKn0Yi jKgiKCWb.jZjACeDhihBHXAC9vA.NYiAGBTRW7AJeIhB2MIgN0CETRUmSvv1 d06vl70YIlDyyx079NUHq2w.W6P.YfgGX0SWN23qLZrbtZBy4Tx4v4xoKmqr mEmKlvbNUeNbNa5x4Rgy8F2PhhyoSWNWnOKa68YMuqo002ksaWsy0gu8I7tz XJeWTDX3Lb8Pv11AmqMli3ZVfsLCcH3Zyvy0Dx4v0wE6996tJqDudfnUb1Jh YG+UmtEHl.s.Ra.pBcTru8MqeG9iMIa1t8K6uOf57cRnBDL4ShSZBClzjIfh Pa.6QpHnsSbEgt7UhSQvPemnHzASwoHXXSAEAe9aQpHX3ScEg1zWiTQP7dQQ nElhTQXBmkO2xOi7dn7ArblIpgeqd7b+CEyLzVDMJKfMg6mdS1Oy+2ldeVxp erIuX8KXgj0mUymX760qf3rMZBUpuuy40YLCi85+ANuUpWEZ3QloKm2l7mQG EiqmpLtzuM1ZEOJ9VMYWvo0p0xFO+wIoKGhRcnG7Rcna2VJO+FZoNzhgfqUC NWqXpyn.OZ9Pv0xAmqkB84v0rgfqECNWKTmEWOHkvjO3bM263NRtVom.Ir1t sawVBSwDOg0tccLxRXJemjvZGLEWBqJ0TPQvuKrwpHPm5JBsaBcjJBr2KJBs vTjJBSgM0pK.m3TDj5IthPK6Gohfz7NQQnClhSQPZm.JBs8nQrJBS8Z420hJ QpH7dIznNXJREA0z+brHTtyuJq8HLG54XgOEhNrsx8QZKfKm31B511l3rEPe uXKnClhyVPbmmq61uoJ2sKdmVa39rzu3mQRNRkrTXMDt8hm86nGPyOO3rKqp 9ColR7+4tze784jCYVGQczmI4hCd3vOjWAq2k+Gt2fIOQn4BugGWSEZ3s8Vn 5fOjqt4.hg1RBO9.vUIMDg4UaKpVmVk5VAhXUc016tKq4bz8D4YNIY8ubxii z00excvUCF.1BA4TGIYViEdpz2+FzNbFHhs3.RqnFxbuy+IqH6qo84FZtY6M mKxzma3Iu8rs1tIHO.cv.MFRfljdzmDl3yC6GruFqtGIfcodR.p8stMe85rh X0AONDin0qXG.4mgwvi8QWUl65eAmh6R6qix9SWKUZ+IX9HqhjkFU8+nu3Y+ NvRub.KNmx7Y85P9c0w2T+RFpwz8p4EcuJY31fz90pZ7gUy862P6g9y6bCt8 CAB5GOOdltd0e+XlGHgl6xuoHcyqLng7ccSqSLSf3osmMH+Bn2Uoke4uqUPE ljZSyIBhUkba5c0HyMK5Kz6H8cpTYTbmVdyCRgkvdMyQmdxVPahUfSnGf1vs q+3gPomvYr6IddaKenhISIFc9MnHMcc8TbHBQL+PD+7dIZDQN6PDsuDRQiHu giNy1gP7l7ats5y2ucWdUd+LCgdEQHWeVoTsygXSnHVe1ZcXN9P6Xb+LgHzw GJKtoEC1Uai5R215GLPAWsM67yhY6TGOZDY9Ywj4OBAVedAgiHpYGhzMGkzw UiZqd9gHd6HQiHyuQzMqc3SGKhXeyiynbaUZ8K9i+XvCwfobiybqetSE7j2g QHCQHF8wwTBDaqrwEJJcwPEb457qud+trguqW8CZq1sPgxXgBArI4BeGaShb geJbydnENgak2LXv1+z1YmGAk0Og0hDQLyu50n3ryQFAiSyN1sDnOMynQj42 0gijHOKYD9rCQD9IUdzHhXtlOlRHhCQjy07whFQTy07whFQzu44isp9isLc3 OqkF6AyKcancVlwLICIukqUlHMpZGfbwPqD+B6giHeani9W6zL86VtN1kb6f j9cVwtOWaJaCB4dSO5dQfF50ehchl6M87V0mD2plRsuxR53b1omet+oRF8rf j4WM6oBE6rfj4WQ6oZ+l81dEwENjL+x17g6LtXgDwLDRXxyRJQNCUbX9xzDq sDxLTJo8NEIVHgNCgD+EwZzPBaFFWheuuhERTyw3RL5yQJQMCiKQ3a6tngj4 2toQ4BkuuDiqsjTyvbbX9YmiJtFJfplggpw39K.8XkRXuiZCm5bjctmoDNKt KCUhcRVSnGYb+ckZvhITxjuUbpijvohX82CbA2KNThXZt12w2dOrAuzSjKlr a0SMu6GdrbQL60i0NUWw8bMItfoHjo7d8zcme2slG3l8LQ2duG353VyGjs2C w85oNxvCWzCdydL5o4pdGaG4pdTiKnzppx84mbIs4G4wAi+h9jiaO18Td6Jc viWwnLt8RyPjlWeaQRyHJob6lcK5kQDhwX881B6PND7w9U1mwo764UKqC8uL +6I0egkHRVcaZYs.GIQQN57Eec5pmjyviGsZ2Vvd9YDUSLe1SLu53CpNuHGH ZZmYCFezdbvf3ye1o+2k4oa5Q3sLYU02YmKLR5USJdfS6ANQf3F09NE2T9Ch LkanwfaLNJ31tdA2BenGQ4tLsM9dTy2hZA.Np9EbdoA3y5xzuUs0YnaQ.vQu d0tzgTLxAYr.GoznhTeKu3MGoZuPT726svQJNNJbM9OuYyxaJyW6ujfpgrKq 0AS9j+oUaK2uK4StRgzve9ZukPWLJ7h1YTSP7i3EQfhibANhikY6xpdyDDYF 5gdLCUPzfof3soEq23jBYIeJu31rxZogpxzhcM038X4NDhnCdbbsiBUdf9U4 VLQ2xrl6+qexrHB.oepaAELEsWZZxv.SAAMvL662Wl7I2i4E+J429mjkp+Q8 2Q+s9X5iFfIPiT3OCqZ+DHLzKtj9Nn2EuQw2pEsF4bl2D7.UCo3kVvh25L.7 6rfuQ6B.hH3kAvhgLX+1gGqwWfFdnQv1yFraLlbesA40a+1omouMwPTTk1Ti 5CMY5GG2t.Ma6FNk5Umnug6mSao9MniZ8nV6UIzgU84PR7PR+Pz6w6dzNjau 0JHDhPObkExEP6ToxPFwgs6I0FnOPlD6bQuLPE19L11VcYskGU1nBryF8MEq 7yc21KpRafl+Yz+e9nfyGkKrQkOJU8NHezVWIcQpoCTNj81jNpWH7UxHE6rO aC5s6lnuchOCGKIuMIedYuDh24kqotMUyim7MfgNbRauJ4pjrxzG69nADs7e Nftwe89YUAliUOWGops2zS6bedQEL9l+vfqOj86r2ukzdAgk+q+NA53BG2yF 1geqP6kN7M5S.aqYOKiTiMWsup5w1541b+3IewIEbd.SoOeuAz0iDWkt5K2T tcew5m9aezb2l6Gz1+7275WKJW.P7jQ8cWwKJd9yWFJjkZigwktKBFMQZLAL w+smXqIR9ksaV281NjIy8K5tYLd8F4M+lhs0b1l7Ue4PDcS1Moq9wQ35gSwd GY6F+7677XmzgCsZd8ikQ1sce4pNXtsQ5pQhG390Y6pCt7g7X+0Gqt3A+PON P86H9046Z3m0urdMX5w.fdbCaHrHHMDBhfHAofrhMtHGZSUFGUDDCwELIHBx L1HHDWxDfjgHiLBhnvifXfPH1HifnHRPTPB01QFAQ33QPD.Dj0LtnGJQO1HH DsKBfdXRzHGCD5wfm.jwLthc0nGYzCjHgL3oeYfD2gAuPWMP7xaQT+hCAePj df3i2fm4PCDOpV7BJy.weAGQ4YHvCpTC8Lol6xWe+17hpcc06w271ZtaJMnE 1Gd1iePnBmXZMG.dhH4nAEL.dw+qgrbYPDefDL.COmuZHACvvyXkFRv.HBOP hEPgH7.IV.Ed9d0PhEPh35EjXAj3kbsFRr.J779Bw5CdQRpf3rvhmziBhyBM dNKTPLNqPb8BhwYKdVCUfrNiWj+JPVmwK3GEDqyVDoGHVmU3YcVMxxTCTrX3 UHMIDyyRDoGPYxhWvORPdSwy4tDh7iDO2ERPtKvycpDh4YIdtKjfBN7n76GT xARlxnANBKnccAO5AhuzWbmVo8O8.wWpFOiOBHByRDWufH9f31ZxGYcTEGhy TNdxObHNSUHtdAZWx3iK5AQ8cPzyXa8BwJ0AidniK5AwJ0AidFY5Wb7BdlCp a7PT9g2G9ud5N2Q8iLaiem6nL+V2YFnstCDOvvKA.NnXJQKjRNjPJYHFhBnF uRElHmh6tHpnbg+5A4vmNDhb8QVLOgE3V2sjT2HxiReXf4M.L.SO806AwCHp 2yj.S7GIxQLp5PDPjChcrKi2GUI9ELCIHhCMC4d5PnAv5CS6OgGLDpePt4Ns UZ4iOaH3.JADKzjwAGG4B53RsgNxTaHFPKXZDoH83ZEiLx5LXFQAVGCKJRBl hnHQQBvTDCIJBTZMHdVDe5m0auhFrLavTSiLxPnwE4bNYM0+IFSAcbnYHdns nVCXJhhDEoASQLjnHXdynHtpIASQXspI.SQXspApjIH10RT63xaFE1QHEwFq fZIiLDZbs2lTPGQRJhmQRpYbcpfnfNjjO01vvRQJvTDR1pAcPI8TDR1pMv5x BD8vZ3foHrV0XfoHrV0.4+vfo1OALEgzpl1BlhPZUCzIYihXGwQAcV17TDVq ZJvTDVqZfrYSjHtpI.SQXspwASQXspAq.DXpqQASQXspQ.SQHspA53jgoaMP mmLL8pozPIHrVx.0kkJDIHATBBqkLFTBBIgZPNzPLOMAebkIqfOt1TOp.1Ph Sf1FmSAcVA7TDRp8f5FdOEgjdOWAlhPRNhCJvQAhp9f5mymhjCKEARWSqQjh .E3nFwROBqsNQb.aQAIFg3FNv.U7AMh59LP1G0HtlAqmNQbVrBkhvDifMyiQ zZDn9P7oooLrTDH6iHNhVnffHDmGhTJrJOhXU9ggQHNy+dJ2+RUCAQ2rTX0m AQAaPPDhlGIirijKETGyRQb.6PIv1VVDsWSfssrHJVSfUheLW0DiMAaPQXqQ LDaBrD0vDifsqrH5kEVOpholFzAgLcDQOrwE8nIiK5QoFYzCebQOR6HidFYq WT83x9CM1VKxemckd+8eMqbW6eSGor3tze2eEeouv8z7B+Sc+EWTl807tedk 6URKWcadU1pp8k9Khrua7WipKta65rxh84s2WX0ex+0G+ezvi44J ———–end_max5_patcher———– </code></pre>