# 'real-time' onset detection example

**URL:** https://discourse.flucoma.org/t/real-time-onset-detection-example/163
**Category:** Code Sharing
**Created:** [February 7, 2019, 10:12am UTC](https://discourse.flucoma.org/t/real-time-onset-detection-example/163 "2019-02-07T10:12:22Z")
**Posts on this page:** 1
**Showing post:** 1

<div class="post-metadata">

### Author: ![tremblap](https://discourse.flucoma.org/user_avatar/discourse.flucoma.org/tremblap/32/5_2.png) [@tremblap](https://discourse.flucoma.org/u/tremblap)
#### Post date: [February 7, 2019, 10:12am UTC](https://discourse.flucoma.org/t/real-time-onset-detection-example/163/1 "2019-02-07T10:12:23Z")

</div>

By now I thought I would understand onset detection… but I still thought this little patch would help. For now there is only one native slice object and one in prototype form from examples you’ve seen, but I hope this helps someone else to understand a bit better how these 2 algo differ:

```

----------begin_max5_patcher----------
4728.3oc6cs0jihik94r9UP3GlnpdSmkjPhK8r0D8Nw9v939x9T2SjA1fcRW
jfC.WUkSGc9ae0ULfAr3pckcMSztbBFzQemqR5ni9i2c2pMIeKHakwOa7qF2
c2e7t6tieI1EtS922s5YuusMxKi+yVsM44mChyWcu3d4AeKme87zv86CRM7L
xRNltMvvK12HH92SdQ8SyxeIJf+aUWI93ygwQA472LTdwCd4aeJLd+ioAayE
TFxF+.4dCjyCf6MfXW1+f.O.L9WxmIzm+dS176qg.yRu9ji4p2OP89SCxnc.
u7vj3JsAh+Z4sAP9gw+h8L+46dG6i60DgXPxli44IwJBg1cxqzwOGJDDZ9KG
BDjC8Fh+i+np9YTvdusuvZfsIQIokgMswRr8IrDANGJ2GmP+0Qga+b42TEDF
qn5cIw4wdOK5J+WogdQF+yjH+yDNJdfzjiw9A72kEqsUjYJ8kjGj9XPr2FAx
.ZjIZJu5l8E.vuZ.EbKaGGjIg8MrMf33bO6FE8q1X6XxI1dCvQEr9WouaSrK
.ceCeANPwkiT0oi8PvfIPHkMNIXnK2GBbYbeaKtvNDHjEPsoJgVMXNTK3MzF
Th.NomoZ87fmkliVkEDwdLZ+7d1GdOeHJL+nePwUxS8hyBC3JHC.3iC9JsWd
lrZThm+yAYYFv9ns1aNgooEmEXgY+iz3SqLBXy1zf25xalVb1MzgqeQfc0Kc
cGtzVY4l0qKjPNDF+4ShKIwACSRgIN3sO3LQElHd93kRPsieX.W7ff3xGl1c
heNSmPRK5FGnN2SyWmracjWdP71WVukZPmxnVuKIcM2owZpe+0AweoGvRF0m
iWDiEI+VyvDtq.Dbdvh9+HVTrxxjiRllcBVVMCVU3EAoRHRhQTGdgQAeIHMi
ZTqjj+cq7Nbnzkuqziv.1eW39v99hKEFKtjYwkRC9Rn54IEW0Kk1Uyo8yioB
P7aVJeorWShePZ7wvBtLmE+N0KTgNDWgwdtnjElazE6TxrKyeZTx1OKbLCTW
L4PPbXbYC4UtsevNuiQ4OxBBHK7eyoOH5gFu+NusAs9vUifP08VsOMzOIlQD
UfZ1kUMG0eB28M6yScF9uH16PCOLk0SgkVtYFsSdLaiWJiSHM6fT2LOIIp5s
Jdtnfc4xaSM3DWCEySNz9MoAM+TGO6lD5Metq2M+NYOdLVb2GoZv4Ol48kpn
ctWTjTkt5q+adwgOSUkyCEr.Dn3lBSuOksMMIJpR+Ubmuzvc7oBwaC9Zne9S
7Fprv.8mGdPIDspfK6GtOHKu50x81mU8JmYEgdoiajJoORM9efYPp5OnxPaJ
qQV13Wkq2kQvpFB4l8ds7sNmB6xVWgvZaNCZ0gJPD1fC+evm4PntcNS7ppsT
cGC2obNHsdL8X0O8pwZ30.pDtKg.tAOQ3VcBUVWcn5+3SWSYJBOHMSzEAJ6q
NPQ6bze5H.q6K+sczX9yO8kwBjHQzZVfKBjNsCj3kAHuZFxHbzA5ZqmcLzBI
yUMT+1C2uOP0vAI43lfNflC++LTB8WVq8NvRA4dYi8v+pZrWp2Il+kKaqGR9
gs9NvQDxROS8PzxXpuK6WTqWFfE19E9ADa9eLQ5Y.CuPha7dvbn8At.fHlnO
wXvMK9rM3vEzAbT5NpEkoN8GF6GvgCza.rSXgWanCNQP2sfX2vAMDvtWnFZh
PMy2.BbxAPpM1YNQX2T5OPPCWF7ZZB8aCWDSvpIvQSboiof.bszDmCbwD51O
fgLQ.SSV2OMcnQgwsMOX7NA69MiXhUxWpMoFegQ09iePVdXbwrC+qmB2o1OL
I0WLe55wF6KowBTUKRiMRRC4R0N4Tg5kqM.MKTAaR+zhJXS.w7QE5hEJxcVn
BrtxEMH.MyhrZSZMfjEjFXdjiQ8TBZ4HM1H26ECcdDts5IuaVnB13CtQEt0l
zVdga1PCzC0rlSdmtpX3km2oKogPKNuyTWwp4j2w8dC0fJbmSWabauZQEsaI
TdQUZCrhszw9OJVl7G8xySC2bLWD9X47fnWKm69njMdQxEqsXw96ZscOs.vu
6D81yTXosDUMgS0dQ+rgev1P+.iu9T31mLn8Uuse1PkFq4IFQgY4AwzuodEL
VCe8RJm4QiHqVc4ycnsZlqKVQ2lxWEGmAkUqlV7gjXSHOPdamVqxNp.LGTds
5312zZ07lMsVMwnR78qRdsdY8OOeei3jvr.icQIIoFuOL1v+e9gFU2PiVciH
l7YnIOgDEZarbDqQsMqAosIxkSDv8MdNjKlZCITNLcM69pqgtc00rKw0e6mB
4XtliqSobqosjrzgLMYzasLAWHXo9qf3uDDkb3.UjnHsei7dgED5TZ1RPCxM
2xuESiOvOHmSUyh0JK6SqqnCoSaUsseWdyY1QLQ7Vfg6gu2abE3MqUGnbmqX
J8qcMr6nR.SEH8kvfuxSP1vnv7WJyDR1sik6LbBYM2K45xhyhjO1OkF1eQRk
pvQNCM+IJCX+Sku9Y4mZ0a7kyuwl8rDltxUNMZU4U7R2qr57Kze8wnfxi27h
qwTiquTiKloPo1FxcgJV3.G2VzvQsjX+pqpDj8CdNIiIn9.kMQazUCgmVQ8W
Cs8Mdw66uWDaKKVOmHRRer5yl591tc28aQAwFvUuH3QGLVaa+CnAh.nBGzOm
0MAhDqflBQFbmtbAiArf.3nQqV15HB+mIouZf5+VCoYHyriHTcMKoXY2YTJ1
VS29lYgzdrbHZq8fGj.gkH3dBYF0dfKh1iDqzR6wlLFvBBPyk1y1W1FE7pAD
BlJkmt1zYVtO.srrbrK14dVctyyrge+oAAEdGzPCxBNHgBBUfyRhhD3r5DZI
zhD3kTKpawAKznAL2wuM7WHAIBMLbkxhNRSDmAANXjvd7bFMiIUNhNh9YUNp
LboDl5bWASrGFdIRYdW2uWjiv1N55RmXMHHwzhC2yqK8EPDRhT5I8LLG5X.4
zjb8cgziLbMcjdFV.glBHYV8jAVBoGYrZZI8XN+6n9v3O+5TESWWBHBgBY3b
3NGPDALPIDQHBVf4JJ3e50kH5W4xZHKVEtcUgTvCapIPtlk1VWyARwlM5WGT
IXnC6OZnUY0x1upBn0RDPnuWmrAnqXZ5EqoX2S1.1d1MoTT.aVCc.yaMrQr8
wDZJNtc1uwSW+dWTB8kbZp7Se1iSPV8aIJFlmVYe1l2aIcyqM6+xeMgJA9ax
S7V.9uIfaMC2oqTLb1k6WDuCxtrHH5K3b.71I5AY1R.ubvCltSXu93yaBRGl
erpauyUpU9A0E+tgJUSingSopMjqHtJ34UanlqKNUvpBCDT5tRASYUq0Em1p
WQsMsAklDJw91YNB2XWzwP+GJpGaYQgaCd03W3qtF09fwuj+Dk9dZ2W8MPOP
T+4FVB2AY+c1mC9Jcri+hevljiwaCLJpxQyqTsvvkviM1syBFkI5Mubckpnk
JAOPCPtF4Nd45a2wZiDI7iNi01c18.vWc7kvEfrWCEynV2N6G1T1AgBSotj4
xLku21W0rZzdwP.brrtbI4yZ5RMmKNRGyoRHnq5rmXH9HGYUao6YOYAJGgaS
RhL7N5Glj5kGXTTiPM13kE3qRpaQlZkjt.pIxBqgzmhLqjaEgtzJK8FpHDxJ
ED7p2rnVSg3dNLbMw+nLD9ixP3OJCgK7VUmUVHrIrExEp2dUuqRU1UaS72QQ
CZePLc.H9GS4FLnVfAj4nBRnKLKKc8lWrNA4pWMjnlmgpfTqdHZyKQsGuIuE
s3wncuFW1yQadOp3AolWD496gUZx4tSbEwLRv0DcoVG7CyYLiJIbK3A26K8A
r9C0j+GM7AoienK5KRS+Qc3SRO+RWv2zE8OcQeTWvO0k8UcQ+UZ3yRG+V8w2
UG9utnOrt8i0surt8m0oOs17q0rus1MKdYebM6mqtUk5V0O69msSLXSGz2pX
unUZ7xkMoNMd21zjzcs7RDJqHGSsTkc755ZsOkIMY+2ZUCOZ6VB5zKgzgrXB
hV8+DlQGBzKFBU22SEh9ve+2R+s3+W1ZSXn7T9dLVtodn.0mfheB6+Bi2lFv
bsa7ItcyOV7Hm9I6Ldu3sa7e9ICfwe6uYr8Iu38AuOLF9AiOQevO7G7ebt7m
Quh3oy+S1+DDkEXT5s7OL.evn9SH+xZ11ETRRen7K42xYeRQDH8GqdS719uu
pLzTD+Q0XPFqT6YwjTMtjvXC37IQ2CoVzo39pGOxY0tvKHwc8QUJ0zGXsSq.
siYXnS6UwvyV8mtAMPGfVUW0mU9lNGKapvAz.hddYLndsTniZHPsxoPu30Ck
9r5A8guH8U5lkCu7Rk7f5wVG7sCIo46Rhj6bnUaeJIKH6m+3+WFMr5Odv6i+
2AYelF9xGohugO+wsda893p2cNQMuC.hFNCapu1w9+CXjO0JSpZTuTuzPgHl
7gBAEqY94SL1YKhP6iDxbYfvSmDPDZzbFqsm3hmptHFTLy6vKWTiWlhmZ0sH
a8ZjcjgX08Ll3Yrf18YkRVSww+lTLBUeJKZORq1qFucFhUa1smYbzaSlBGeu
2Fl+s0DvGlVHEaA3PJ1EMdHkbKfncUn6SSxxdsz9jXTER5gWQjMcEUDYQNiY
27DBoGjW0dTevbzBIEu1DLwkXSGGtMQS4A1myXjXu4MBbJEhlZ3SbjPMN3ib
yCej4B9bgiG9rt4gOqYB9j4h93fOmad3ydtfOBY7vm6sN7M0l9v78PuxuAdD
XG9lWzap85h46fZkSiQgc125XGZ5wNvIOFiB6t48X.mErCeJG6FN1cyGrxDC
cDQZHIbU.cGCzguEftJ64il22G8ZVYpu+OF97QHxfB4XmwcAw3VmNhd.wcrU
Rl4A5c6wBrQhvwmBV.46AVP11jCAu1SKEnKdZdvvP4wQtXEgfmkJPor0wSkD
ExMARqybK3pOaO+z03nUSksODYE8k.pu8f5gYWzfmchEJCq9GuZn0HDmgy0U
wzVRjgGPFwTngv23nrXNfe0.VdmwOonsolB0lNhDtZDnMD3diC2YQg9Abzdt
xXvK.2r4ElIbivtMuoZ6y7Ceqi1quFVoUHrbaqZZNBD1Abiivd4I9ad8Zj4q
NHgbrsvHsyXPY3OP4KXsXJPYz2G1lYInF+iqgyPkTsbQnAnw.3l25h0axtpB
0h8TcKGZr5gwl2Dw2cyMxYp1S4U9eTib1z9upibVgh8XryqEK3+5t1pMX3xL
74q1YfrJEHjYeJQ8Yqo0zbdT9NKmSl5d.iMmGBj7Aa0qSwq4gLzEKrAyIUn6
Iho.0fyEYP5EYflqSoTcoh47zKS2iPsY8XbDIP4q6o3n1G1ltyIQf6i0B309
jq01coOTD0lzbLW5CEQsOoc4L44h2wMfCu1m2u1550yYN854.5kg9EUZQaZC
AVZcLGXeDjuMIMLbwYn5RZNmqgVPZn4gzP8gzlMsQcOzXUH47bz0N9Ck8u+N
sV482pCsRTvepidxx9y4GR5U7s0wlSC1RkhR2Fh.0ng3TC7zwAUEaNCtoMQ5
1znotog.saavXAXfFsj8TvJsg51Rnw1RV5fdtSPex0U29zX4SPfNvmq6DzTt
N5zRSBiR2FZxUt0xthaU4npALLu1U3Ms4T2zt5nXflDYnpbsV7oZNAsjCQi9
DYBZHrNVJqwbmH9F4p0xXWMQ2wZJfnY.EMzCQytMHRylflelZMyTSjwOGjl8
YywZeWK2iU9MOG5eHILNWFXpspvXHWLLwYtXkST0oBTzQ8F6nCwJNqMXGNTp
+ZIvwZcfIRJ0FOVVnknzwt.rPaxnYgJhc5YgZgij4fEZAGMKDAJXZyKKzBMd
VnjXmbVnV3n07D.fyXYgDBtnlyu.7Qh8n4iUn3ImYpEhVqWLULSqwxLwhCLp
kfOpCsRlEyVjwaMWgSSuzyn8JpHlEfEpCsRLmEVn43YgkXZSJKD6n6jDM5VR
GF.dJFKLVK7FNAsjoNQjhASvTrgg51RKx.7mkwfpUKOOiErGiP6rEPnVQKl0
D0JRw0JNwmWThauXDWuHDyWdEwBcTaQKJVNjm89lUQsIUU0dq1+YoQKuzC+X
XLi1Ku64N8QoRP7JusaChyqTthcX+LGSWDzh8MafqC.W8opTfigx2o7CZ3oJ
v7dIuJkc97TaMbV8Lk5CUFgKyaqzgKkvfM2kqP5TCnDDuRKaZiHX92P1XBTR
9SFYU47Dcp3Ea1uKLJpnCUd0zToB4p8od9gk1O2h9Orf2wBoz99F+V4JOs3w
PpGy1wghb2232N+wTOExE.c4xHlRYD12nWBV6o7h2KKWy1kpK9GRSXU0PUcs
9AS2he+w7jhNZwRXqViulYeU0NziKVtJ2qgzEmmgohU.D+az9ro6fkrnOye9
t+ef8.+MT
-----------end_max5_patcher-----------

```

---

_[View the full topic](https://discourse.flucoma.org/t/real-time-onset-detection-example/163)._
