{"id":1229,"date":"2011-03-28T16:09:26","date_gmt":"2011-03-28T08:09:26","guid":{"rendered":"http:\/\/www.ccttours.com\/blog\/?p=1229"},"modified":"2011-03-28T16:15:19","modified_gmt":"2011-03-28T08:15:19","slug":"sc%ef%bc%9afmam%e5%90%88%e6%88%90%ef%bc%8c%e7%9b%b8%e4%bd%8d%e8%b0%83%e5%88%b6%ef%bc%8c%e9%9f%b3%e5%ba%8f%e5%99%a8%ef%bc%8c%e9%87%87%e6%a0%b7%e5%92%8c%e6%8c%81%e6%9c%89","status":"publish","type":"post","link":"https:\/\/learn.travelchinawith.me\/?p=1229","title":{"rendered":"SC\uff1aFM\/AM\u5408\u6210\uff0c\u76f8\u4f4d\u8c03\u5236\uff0c\u97f3\u5e8f\u5668\uff0c\u91c7\u6837\u548c\u6301\u6709"},"content":{"rendered":"

\u5728\u524d\u9762\u7684\u7ae0\u8282\u91cc\uff0c\u6211\u7528\u7535\u538b\u63a7\u5236\u521b\u5236\u4e86\u4e00\u4e2a\u98a4\u97f3\uff1a\u7528\u4e00\u4e2a\u4f4e\u9891\u632f\u8361\u5668\u5728\u542c\u89c9\u9886\u57df\u63a7\u5236\u53e6\u4e00\u4e2a\u632f\u8361\u5668\u3002\u90a3\u65f6\u6211\u66fe\u8b66\u544a\u4f60\uff0c\u63a7\u5236\u9891\u7387\u4e0d\u8981\u8d85\u8fc720Hz\u3002\u5e0c\u671b\u4f60\u6ca1\u6709\u542c\u4ece\u6211\u7684\u5efa\u8bae\u5e76\u7528\u9ad8\u9891\u505a\u4e86\u5b9e\u9a8c\u3002\u5f53\u7136\u4f60\u53ef\u4ee5\u7528\u4f4e\u4e8e20Hz\u7684\u63a7\u5236\u7387\uff0c\u4f46\u6709\u4e9b\u4e0d\u671f\u671b\u7684\u751a\u81f3\u662f\u795e\u5947\u7684\u4e1c\u897f\u4ea7\u751f\u4e86\uff1a\u65b0\u7684\u9891\u7387\u5728\u88ab\u63a7\u5236\u7684\u9891\u7387\u4e0a\u3001\u4e0b\u51fa\u73b0\u3002\u7528\u9ad8\u4e8eLFO\u8303\u56f4\u63a7\u5236\u6e90\u5f97\u5230\u7684\u58f0\u97f3\u4e0e\u6253\u5f00\u6536\u97f3\u673a\u76f8\u4f3c\u3002\u90a3\u662f\u56e0\u4e3a\u4f60\u5df2\u7ecf\u6b65\u5165\u9891\u7387\u548c\u632f\u5e45\u8c03\u5236\u7684\u56fd\u5ea6\uff1a\u7528\u4e8e\u4f60am\u548cfm\u6536\u97f3\u673a\u9694\u7a7a\u4f20\u9012\u4fe1\u53f7\u7684\u6280\u672f\uff08\u5b83\u542c\u4e0a\u53bb\u540c\u6837\u4e0e\u9e1f\u7684\u5541\u557e\u60ca\u4eba\u76f8\u4f3c\u3002\u6709\u7684\u9e1f\u7c7b\u53ef\u4ee5\u4ea7\u751f\u4ee5\u540c\u6837\u65b9\u5f0f\u4ea4\u4e92\u7684\u4e24\u4e2a\u9891\u7387\u3002\uff09\u3002
\n<\/p>\n

16.1. \u4eceLFO\u5230FM<\/strong><\/p>\n

{SinOsc.ar(SinOsc.ar(MouseX.kr(1, 500), mul: 300, add: 800))}.play<\/pre>\n
am\u3001fm\u4e0eLFO\u7684\u533a\u522b\u5728\u4e8e\u9ad8\u6b21\u548c\u4f4e\u6b21\u7684\u8fb9\u9891\u5e26\uff08sideband\uff0c\u4ee5\u4e0b\u7b80\u79f0\u8fb9\u5e26\uff09\uff1a\u627f\u8f7d\u9891\u7387\uff08\u88ab\u8c03\u5236\u7684\u97f3\u9891\u9891\u7387\uff09\u4e0e\u8c03\u5236\u9891\u7387\uff08\u63a7\u5236\u7740\u97f3\u9891\u9891\u7387\u7684\u9891\u7387\uff09\u7684\u603b\u5408\u4e0e\u4e0d\u540c\u3002\u627f\u8f7d\u9891\u7387500\u548c\u8c03\u5236\u9891\u7387112\u53ef\u4ee5\u4ea7\u751f\u4e24\u4e2a\u8fb9\u5e26\uff1a612\u548c388\u3002\u5982\u679c\u5728\u5176\u4e2d\u4e00\u6761\u6ce2\uff08\u6bd4\u5982\u4e00\u6761\u88ab\u6b63\u5f26\u6ce2\u63a7\u5236\u7684\u952f\u9f7f\u6ce2\uff09\u91cc\u6709\u6cdb\u97f3\uff0c\u90a3\u4e48\u6bcf\u4e2a\u6cdb\u97f3\u90fd\u4f1a\u6709\u8fb9\u5e26\u3002<\/p>\n
16.2. AM\u5408\u6210 (SinOsc, scope, mul, Saw)<\/strong><\/p>\n
{SinOsc.ar(500, mul: SinOsc.ar(50, mul: 0.5))}.scope(1)<\/pre>\n
{Saw.ar(500, mul: SinOsc.ar(50, mul: 0.5))}.scope(1)<\/pre>\n
\u4e0a\u4f8b\u4e2d\uff0c\u5916\u90e8SinOsc<\/em>\u4e3a\u627f\u8f7d\u5668\uff0c\u5185\u90e8SinOsc<\/em>\u4e3a\u8c03\u5236\u5668\u3002\u8fb9\u5e26\u5e94\u4e3a550\u548c450\u3002\u5c06\u5f15\u657050\u6539\u4e3a\u5176\u5b83\u503c\uff0c\u770b\u5b83\u5982\u4f55\u6539\u53d8\u58f0\u97f3\u3002\u5c0650\u6362\u4e3aMouseX.kr(1, 500)<\/em>\u3002\u5f53\u4f60\u5c06\u9f20\u6807\u6162\u6162\u7531\u5de6\u5411\u53f3\u79fb\u52a8\u7684\u65f6\u5019\uff0c\u4f60\u5e94\u8be5\u80fd\u542c\u5230\u4e24\u4e2a\u8fb9\u5e26\uff08\u9891\u7387\uff09\uff1a\u4e00\u4e2a\u4e0a\u5347\uff0c\u53e6\u4e00\u4e2a\u4e0b\u964d\u3002<\/p>\n
\u9891\u7387\u8c03\u5236\u662f\u540c\u6837\u7684\u9053\u7406\u3002\u4f46\u5728fm\u4e2d\u53ef\u4ee5\u751f\u6210\u66f4\u591a\u7684\u8fb9\u5e26\u3002\u786e\u5207\u7684\u6570\u5b57\u53d6\u51b3\u4e8e\u8c03\u5236\u6307\u6570\uff08modulation index\uff09\u3002\u8c03\u5236\u6307\u6570\u662f\u8c03\u5236\u9891\u7387\u504f\u79bb\u5176\u8f7d\u4f53\u8ddd\u79bb\u7684\u8fdc\u8fd1\uff08\u5373\u8c03\u5236\u6ce2\u7684\u632f\u5e45\uff09\u3002\u6bd4\u5982SinOsc.ar(400 + SinOsc(124, mul: 100))<\/em>\uff0c400\u662f\u8f7d\u4f53\u9891\u7387\uff0c124\u662f\u8c03\u5236\u5668\u9891\u7387\uff0c100\u662f\u8c03\u5236\u6307\u6570\u3002\uff08\u6307\u6570\u8d8a\u9ad8\uff0c\u8fb9\u5e26\u8d8a\u591a\uff09 <\/p>\n
16.3. FM\u5408\u6210<\/strong><\/p>\n
{SinOsc.ar(SinOsc.ar(MouseX.kr(1, 500), mul: 300, add: 800))}.play<\/pre>\n
\u76f8\u4f4d\u8c03\u5236\uff08Phase Modulation\uff09<\/h3>\n
\u4f7f\u7528PMOsc\u5bf9\u8c61\u53ef\u4ee5\u66f4\u5bb9\u6613\u7684\u770b\u5230\u8f7d\u4f53\uff0c\u8c03\u5236\u5668\u548c\u8c03\u5236\u6307\u6570\uff0c\u56e0\u4e3a\u5b83\u4eec\u5c31\u662fPMOsc<\/em>\u7684\u524d\u4e09\u4e2a\u5f15\u6570\u3002\u76f8\u4f4d\u8c03\u5236\u63a7\u5236\u8f7d\u4f53\u7684\u76f8\u4f4d\u800c\u975e\u9891\u7387\u3002\u5dee\u522b\u662f\u5b66\u672f\u4e0a\u7684\uff0c\u800c\u6548\u679c\u4e0eFM\u51e0\u4e4e\u4e00\u6837\u3002\u8bd5\u7740\u7528MouseX<\/em>\u548cMouseY<\/em>\u66ff\u6362\u4e0b\u8fb9\u7684\u6bcf\u4e2a\u5f15\u6570\uff08400\u662f\u627f\u8f7d\u9891\u7387\uff0c124\u662f\u8c03\u5236\u9891\u7387\uff0c1\u662f\u5f27\u5ea6\u7684\u6307\u6570\uff09\u4ee5\u66f4\u597d\u5730\u4e86\u89e3\u5b83\u4eec\u5982\u4f55\u5f71\u54cd\u8fb9\u5e26\u3002<\/p>\n
16.4. PM\u5408\u6210<\/strong><\/p>\n
{PMOsc.ar(400, 124, 1, mul: 0.5)}.scope(1)<\/pre>\n
\u8f7d\u4f53\u4e0e\u63a7\u5236\u9891\u7387\u7684\u6bd4\u7387\u51b3\u5b9a\u7740\u8fb9\u5e26\u5e76\u8fdb\u4e00\u6b65\u51b3\u5b9a\u97f3\u8d28\uff0c\u8c03\u5236\u6307\u6570\u63a7\u5236\u8fb9\u5e26\u7684\u91cf\uff0c\u6bd4\u5982\u8bf4\uff0c\u6ce2\u7684\u4eae\u5ea6\u3002\u4e0d\u540c\u7684\u8f7d\u4f53\u9891\u7387\u5c06\u4f7f\u58f0\u97f3\u53d8\u5f97\u50cf\u4e00\u4e2a\u53d8\u6362\u97f3\u9ad8\u7684\u4e50\u5668\u3002\u4e0d\u540c\u7684\u8c03\u5236\u5668\u9891\u7387\u542c\u8d77\u6765\u5c06\u4ec5\u4ec5\u50cf\u662f\u5728\u6f14\u594f\u540c\u4e00\u4e2a\u97f3\u9ad8\u7684\u4e0d\u540c\u4e50\u5668\u3002\u4e0d\u540c\u7684\u8c03\u5236\u6307\u6570\u542c\u4e0a\u53bb\u5c06\u50cf\u4e00\u4e2a\u88ab\u6ee4\u6ce2\u7684\u4e50\u5668\u3002\u5f53\u7136\uff0c\u4f60\u53ef\u4ee5\u6539\u53d8\u6240\u6709\u4e09\u4e2a\u5f15\u6570\u3002\u7b80\u800c\u8a00\u4e4b\uff1a\u8f7d\u4f53=\u97f3\u9ad8\uff0c\u8c03\u5236\u5668=\u97f3\u8272\uff0c\u8c03\u5236\u6307\u6570=\u6ee4\u6ce2\u5668\u3002<\/p>\n
16.5. \u8f7d\u4f53\u3001\u8c03\u5236\u5668\u3001\u8c03\u5236\u6307\u6570\u63a7\u5236<\/strong><\/p>\n
(\r\n{PMOsc.ar(LFNoise0.kr(5, 300, 700),\/\/ \u8f7d\u4f53\r\n   134, 4, mul: 0.4)\r\n   }.scope(1)\r\n)<\/pre>\n
(\r\n{PMOsc.ar(700,\r\n      LFNoise0.kr(5, 500, 700),\/\/\u8c03\u5236\u5668\r\n      12, mul: 0.4\r\n   )}.scope(1)\r\n)<\/pre>\n
(\r\n{PMOsc.ar(700, 567,\r\n      LFNoise0.kr(5, 6, 12), \/\/\u8c03\u5236\u6307\u6570\r\n      mul: 0.4\r\n   )}.scope(1)\r\n)<\/pre>\n
(\r\n\/\/ \u4e09\u8005\u540c\u65f6\u63a7\u5236\r\n\/\/ \u8fd9\u662f\u6700\u521d\u8ba9\u6211\u8ff7\u4e0a\u5408\u6210\u7684\u58f0\u97f3\r\n{PMOsc.ar(LFNoise0.kr([9, 9], 300, 700),\r\n      LFNoise0.kr([9, 9], 500, 700),\r\n      LFNoise0.kr([9, 9], 6, 12),\r\n      mul: 0.5\r\n   )}.scope(1)\r\n)<\/pre>\n
\u8fb9\u5e26\u662f\u8f7d\u4f53\u6ce2\u4e0e\u8c03\u5236\u6ce2\u7684\u603b\u548c\u4e0e\u5dee\u503c\u3002\u5982\u679c\u7ed9\u5b9a\u4e00\u4e2a400Hz\u7684\u8f7d\u4f53\u6ce2\u4ee5\u53ca\u4e00\u4e2a50Hz\u7684\u8c03\u5236\u6ce2\uff0c\u8fb9\u5e26\u5c06\u4e3a450, 500, 550, 600, 650\u7b49\u7b49\uff0c\u4ee5\u53ca350, 300, 250, 200\u7b49\u7b49\uff0c\u53d6\u51b3\u4e8e\u8c03\u5236\u6307\u6570\u7684\u5927\u5c0f\u3002\u5982\u679c\u4e00\u4e2a\u8c03\u5236\u6307\u6570\u5927\u5230\u8db3\u4ee5\u5728\u4f4e\u5c42\u5149\u8c31\u751f\u6210\u8d1f\u6570\uff0c\u5b83\u4eec\u4f1a\u6298\u56de\u3002\u4e00\u4e2a\u5728SC\u5185\u5feb\u901f\u8ba1\u7b97\u9ad8\u4e8e\u3001\u4f4e\u4e8e\u4e00\u4e2a\u7ed9\u5b9a\u9891\u7387\u7684\u516c\u5f0f\u662fabs((-30..30)*m+c)<\/em>\uff0c\u5176\u4e2dm\u662f\u8c03\u5236\u5668\u9891\u7387\uff0cc\u662f\u8f7d\u4f53\u9891\u7387\u3002\u5957\u7528\u4e0a\u8fb9\u90a3\u4e2a\u5047\u8bbe\uff0c\u516c\u5f0f\u4e3aabs((-30..30)*50+400)<\/em>\u3002 <\/p>\n
\u5c3d\u7ba1\u4e86\u89e3\u8fb9\u5e26\u662f\u5982\u4f55\u751f\u6210\u7684\u4ee5\u53ca\u5b83\u4eec\u4e0e\u8f7d\u4f53\u3001\u8c03\u5236\u5668\u548c\u6307\u6570\u7684\u5173\u7cfb\u662f\u5f88\u91cd\u8981\u7684\uff0c\u4f46\u6211\u4e0d\u5f97\u4e0d\u8bf4\u6211\u4ece\u672a\u5728\u73b0\u5b9e\u751f\u6d3b\u4e2d\u505a\u8fc7\u90a3\u4e9b\u8ba1\u7b97\u3002\u6211\u6240\u8bf4\u7684\u73b0\u5b9e\u751f\u6d3b\u662f\u6307\u6211\u7684\u5b9e\u9a8c\u548c\u521b\u4f5c\u3002\u6211\u59cb\u7ec8\u8bb0\u5f97\u7684\u662f\u8fd9\u4e09\u4ef6\u4e8b\uff0c\u56e0\u4e3a\u4ed6\u4eec\u5173\u7cfb\u5230\u58f0\u97f3\u662f\u5982\u4f55\u6539\u53d8\u7684\uff1a\u8f7d\u4f53 = \u57fa\u7840\u97f3\u9ad8\uff0c\u8c03\u5236\u5668 = \u6ce2\u7684\u7279\u5f81\uff0c\u6307\u6570 = \u5206\u97f3\u6216\u8005\u6ee4\u6ce2\u5668\u7684\u4e2a\u6570\u3002 <\/p>\n
\u540c\u6837\u7684\u7ed3\u679c\u53ef\u4ee5\u7531\u52a0\u6cd5\u5408\u6210\u505a\u5230\uff1a20\u4e2a\u6309\u4e0a\u8fb9\u6574\u7406\u51fa\u6765\u7684\u9891\u7387\u8c03\u97f3\u7684\u6b63\u5f26\u6ce2\u3002FM\u6700\u5927\u7684\u597d\u5904\u662f\u6548\u80fd\u3002\u5b83\u4ec5\u7528\u4e24\u6761\u6b63\u5f26\u6ce2\u751f\u6210\u6570\u767e\u4e2a\u8fb9\u5e26\uff0c\u8fd9\u4e9b\u8fb9\u5e26\u7b49\u540c\u4e8e\u6b63\u5f26\u6ce2\u3002\u5bf9\u6bd4\u4ee5\u4e0b\u4e24\u4e2apatch\uff0c\u4e00\u4e2a\u7528\u76f8\u4f4d\u8c03\u5236\uff0c\u53e6\u4e00\u4e2a\u7528\u52a0\u6cd5\u5408\u6210\u3002\u6ce8\u610f\u89c2\u5bdf\u4e24\u8005\u7684ugen\u4f7f\u7528\u6570\u91cf\u53caCPU\u5360\u7528\u7387\u3002<\/p>\n
16.6. PM\u7684\u6548\u7387<\/strong><\/p>\n
{PMOsc.ar(1000, 1367, 12, mul: EnvGen.kr(Env.perc(0, 0.5), Impulse.kr(1)))}.play<\/pre>\n
(\r\n{\r\nMix.ar(\r\n   SinOsc.ar(abs((-20..20)*1367 + 1000),\r\n      mul: 0.1*EnvGen.kr(Env.perc(0, 0.5), Impulse.kr(1)))\r\n)}.play\r\n)<\/pre>\n
\u8fb9\u5e26\u542c\u4e0a\u53bb\u50cf\u662f\u4e00\u4e2a\u5355\u72ec\u7684\u97f3\u9ad8\u7684\u5f26\u5916\u4e4b\u97f3\u3002\u5982\u679c\u8fb9\u5e26\u4e0e\u4e00\u4e2a\u4f4e\u7684\u6bd4\u7387\u6709\u5173\uff0c\u542c\u4e0a\u53bb\u4f1a\u66f4\u548c\u8c10\u3002\u56e0\u6b64\uff0c\u5c06\u8c03\u5236\u5668\u9891\u7387\u8ba1\u7b97\u4e3a\u4e00\u4e2a\u8f7d\u4f53\u9891\u7387\u7684\u6bd4\u7387\u662f\u5f88\u6709\u5e2e\u52a9\u7684\u3002\u5728\u4e0b\u8fb9\u8fd9\u4e2apatch\u4e2d\uff0c\u5c06\u6bd4\u7387\u6539\u4e3a\u6574\u6570\u6bd4\u59821\uff0c2\uff0c3\uff0c4\uff0c\u800c\u540e\u6539\u4e3a3\/2\uff0c5\/4\uff0c8\/7\uff0c\u7136\u540e\u518d\u8bd5\u8bd52.317\uff0c1.576\u7b49\u7b49\u3002\u4e00\u4e2a\u63a5\u8fd1\u6574\u6570\u7684\u5c0f\u6570\uff0c\u6bd4\u59822.01\uff0c\u5c06\u4f7f\u4e00\u4e2a\u8c10\u6ce2\u9891\u7387\u8f7b\u5fae\u53bb\u8c10\u3002\u56e0\u4e3a\u8c03\u5236\u5668\u9891\u7387\u6bd4\u7387\u59cb\u7ec8\u5982\u4e00\uff0c\u56e0\u6b64\u6211\u4eec\u542c\u5230\u7684\u5c06\u4f7f\u4e00\u4e2a\u6f14\u594f\u4e0d\u540c\u97f3\u9ad8\u7684\u97f3\u8272\u3002\u8c03\u5236\u6307\u6570\u4ecd\u88abMouseY<\/em>\u63a7\u5236\u3002\u7528MouseY<\/em>\u6539\u53d8\u6307\u6570\u53ea\u4f1a\u6539\u53d8\u4eae\u5ea6\u800c\u4e0d\u4f1a\u6539\u53d8\u97f3\u8272\uff0c\u56e0\u4e3a\u5b83\u4ec5\u589e\u52a0\u6216\u79fb\u9664\u8fb9\u5e26\u3002\u53e6\u5916\u4e00\u4e2a\u57fa\u4e8e\u8c03\u5236\u5668\u9891\u7387\u6bd4\u7387\u7684\u8f7d\u4f53\u7684\u597d\u5904\u662f\uff0c\u5982\u679c\u8f7d\u4f53\u9891\u7387\u6539\u53d8\uff0c\u8c03\u5236\u5668\u7684\u4e5f\u5c06\u76f8\u5e94\u6539\u53d8\uff0c\u5e76\u4e14\u8fb9\u5e26\u7684\u96c6\u5408\u4e5f\u5c06\u4e0e\u8f7d\u4f53\u4fdd\u6301\u4e00\u81f4\u3002\u5b9e\u9645\u7684\u7ed3\u679c\u5c31\u662f\u5c3d\u7ba1\u97f3\u9ad8\u6539\u53d8\u4e86\uff0c\u4f46\u6211\u4eec\u542c\u5230\u7684\u4ecd\u7136\u662f\u76f8\u540c\u7684\u97f3\u8272\u3002\u6ce8\u610f\u6211\u4e3a\u9891\u7387\u4f7f\u7528\u7684\u662fMIDI\u6570\u5b57\u3002<\/p>\n
16.7. \u8f7d\u4f53\u548c\u8c03\u5236\u5668\u6bd4\u7387<\/strong><\/p>\n
(\r\n{var freq, ratio;\r\nfreq = LFNoise0.kr(4, 20, 60).round(1).midicps;\r\nratio = 2\/1;\r\nPMOsc.ar(\r\n   freq, \/\/carrier\r\n   freq*ratio, \/\/modulator\r\n   MouseY.kr(0.1, 10), \/\/index\r\n   Mul: [0.4, 0.4]\r\n)}.play\r\n)<\/pre>\n
\u63a5\u4e0b\u6765\u7684\u4f8b\u5b50\u6dfb\u52a0\u4e86\u4e00\u4e2a\u5305\u7edc\u6765\u63a7\u5236PMOsc<\/em>\u7684\u632f\u5e45\uff0c\u4f46\u5b83\u540c\u6837\u63a7\u5236\u7740\u8c03\u5236\u6307\u6570\uff0c\u8fd9\u6837\u7684\u8bdd\u8fb9\u5e26\u7684\u6570\u91cf\u4f1a\u968f\u7740\u58f0\u97f3\u7684\u8870\u51cf\u800c\u8870\u51cf\u3002TRand<\/em>\u751f\u621036\u523086\u95f4\u7684\u503c\uff0c\u9002\u7528\u4e8eMIDI\u3002\u56e0\u4e3a\u5f15\u6570\u662f\u6574\u6570\u800c\u975e\u6d6e\u70b9\u6570\uff0c\u56e0\u6b64\u5b83\u5c06\u8fd4\u56de\u6574\u6570\u3002\u518d\u6b21\uff0c\u4e3a\u6bd4\u7387\u5c1d\u8bd5\u4e0d\u5bfb\u5e38\u7684\u503c\u4ee5\u6539\u53d8\u4e50\u5668\u7684\u7279\u6027\u3002<\/p>\n
16.8. \u9644\u52a0\u5305\u7edc\u5230\u632f\u5e45\u548c\u8c03\u5236\u6307\u6570<\/strong><\/p>\n
(\r\n{var freq, ratio, env, rate = 5, trig;\r\ntrig = Impulse.kr(5);\r\nfreq = TRand.kr([36, 60], [72, 86], trig).midicps;\r\nratio = 2;\r\nenv = EnvGen.kr(Env.perc(0, 1\/rate), gate: trig);\r\nPMOsc.ar(\r\n      freq,\r\n      freq*ratio,\r\n      3 + env*4,\r\n      mul: env\r\n)}.play\r\n)<\/pre>\n
FM\u5408\u6210\u57281960\u5e74\u4ee3\u7531John Chowning\u53d1\u5c55\uff0c\u5e76\u57281980\u5e74\u4ee3\u88ab\u5e7f\u6cdb\u5e94\u7528\uff0c\u5c24\u5176\u662f\u96c5\u9a6c\u54c8DX7\u7cfb\u5217\u3002\u5b83\u7684\u6210\u529f\u6e90\u4e8e\u5b83\u7684\u9ad8\u6548\uff1a\u4ec5\u7528\u4e24\u6761\u6ce2\u4fbf\u53ef\u5728\u7406\u8bba\u4e0a\u751f\u6210\u548c\u8c10\u6216\u4e0d\u548c\u8c10\u9891\u8c31\u7684\u65e0\u9650\u8fb9\u5e26\u3002<\/p>\n
\u97f3\u5e8f\u5668<\/h3>\n
\u6bcf\u4e00\u7ae0\u6211\u90fd\u4f1a\u4ecb\u7ecd\u51e0\u4e2a\u901a\u7528\u63a7\u5236\u6e90\u3002\u6211\u4eec\u4f7f\u7528SinOsc<\/em>\u4f5c\u4e3aLFO\u6765\u63a7\u5236\u53e6\u4e00\u4e2aSinOsc<\/em>\u7684\u9891\u7387\u3002\u6211\u4eec\u5c06LFNoise\uff0c\u5305\u7edc\uff0cLine\u548c\u5176\u4ed6\u6ce2\u5f62\u4f5c\u4e3a\u63a7\u5236\u3002\u6211\u8fd8\u6709\u4e24\u4e2a\u7ecf\u5178\u63a7\u5236\u60f3\u8981\u9610\u8ff0\u3002\u9996\u5148\u662f\u97f3\u5e8f\u5668\u3002\u97f3\u5e8f\u5668\u4ee5\u7ed9\u5b9a\u7684\u6bd4\u7387\u6216\u89e6\u53d1\u5668\u7a7f\u8fc7\u4e00\u7ec4\u503c\u3002\u8fd9\u53ef\u4ee5\u901a\u8fc7Select<\/em>\u548cStepper<\/em>\u7684\u7ed3\u5408\u6765\u5b8c\u6210\u3002<\/p>\n
\u97f3\u5e8f\u88ab\u5b9a\u4e49\u4e3a\u4e00\u4e2a\u6570\u7ec4\u3002\u97f3\u5e8f\u5668\u53ef\u4ee5\u88ab\u7528\u6765\u63a7\u5236\u58f0\u97f3\u7684\u4efb\u4f55\u65b9\u9762\u3002\u5728\u672c\u4f8b\u4e2d\uff0c\u5b83\u901a\u8fc7\u4f7f\u7528MIDI\u97f3\u9ad8\u6570\u6765\u63a7\u5236\u9891\u7387\u3002\u4f60\u53ef\u4ee5\u4f7f\u7528\u4efb\u610f\u9891\u7387\u8bbe\u7f6e\u6216MIDI\u6570\u5b57\uff0c\u6216\u8005\u751a\u81f3\u662f\u968f\u673a\u7684\u9891\u7387\u3002\u4f60\u540c\u6837\u53ef\u4ee5\u4f7f\u7528Array.fill, rand, series<\/em>\u7b49\u6765\u81ea\u52a8\u586b\u5145\u6570\u7ec4\uff0c\u6216\u8005\u7528\u4e0d\u540c\u7684\u65b9\u6cd5\u6539\u53d8\u6570\u7ec4\u3002 <\/p>\n
16.9. \u97f3\u5e8f\u5668 (array, midicps, SinOsc, Sequencer, Impulse, kr)<\/strong> <\/p>\n
( \r\nvar pitchArray; \/\/\u7533\u660e\u4e00\u4e2a\u53d8\u91cf\u4ee5\u50a8\u5b58\u6570\u7ec4 \r\n\/\/\u7528midi\u97f3\u88c5\u8f7d\u6570\u7ec4 \r\npitchArray = [60, 62, 64, 65, 67, 69, 71, 72].midicps; \r\n{ \r\n   SinOsc.ar( \r\n      Select.kr( \r\n         Stepper.kr(Impulse.kr(8), max: pitchArray.size-1), \r\n         pitchArray), \r\n      mul: 0.5) \r\n}.play \r\n)<\/pre>\n
(\r\nvar pitchArray; \/\/\u7533\u660e\u4e00\u4e2a\u53d8\u91cf\u4ee5\u50a8\u5b58\u6570\u7ec4\r\n\/\/\u7528midi\u97f3\u9ad8\u88c5\u8f7d\u6570\u7ec4\r\npitchArray = Array.rand(24, 100, 2000);\r\n{\r\n   SinOsc.ar(\r\n      Select.kr(\r\n         Stepper.kr(Impulse.kr(8), max: pitchArray.size-1),\r\n         pitchArray),\r\n      mul: 0.5)\r\n}.play\r\n)<\/pre>\n
\u4f60\u53ef\u4ee5\u4f7f\u7528reverse, scramble<\/em>, \u6216 fill<\/em> \u4fee\u6539\u6570\u7ec4\u3002\u4e0b\u5217\u4ee3\u7801\uff0c\u9996\u5148\uff0c\u4e00\u4e2a\u6570\u7ec4\u88ab\u4ece60\uff5e84\u7684\u6570\u5b57\u6240\u586b\u5145\u3002Array.rand<\/em>\u6709\u4e09\u4e2a\u5f15\u6570\uff1a\u7b2c\u4e00\u4e2a\u662f\u6570\u7ec4\u5143\u7d20\u7684\u6570\u91cf\uff0c\u63a5\u4e0b\u6765\u7684\u4e24\u4e2a\u9650\u5b9a\u968f\u673a\u6570\u7ec4\u5143\u7d20\u7684\u6700\u5c0f\u548c\u6700\u5927\u503c\u3002\u63a5\u4e0b\u6765\u6211\u4eec\u5c06\u6570\u7ec4\u6253\u6563\u5e76\u5217\u5370\u5b83\u3002\u7136\u540e\u53cd\u5411\u5e76\u5217\u5370\u5b83\u3002\u6700\u540e\u4e3a\u6574\u4e2a\u6570\u7ec4\u52a0\u4e0a12\u5e76\u5217\u5370\u5b83\u3002<\/p>\n
16.10. \u6253\u6563, \u53cd\u5411 (Array.rand, postln, scramble, reverse)<\/strong> <\/p>\n
( \r\nvar pitchArray; \r\npitchArray = Array.rand(10, 60, 84); \r\npitchArray.postln.scramble.postln.reverse.postln; \r\n(pitchArray + 12).postln \r\n)<\/pre>\n
\u4ee5\u4e0b\u662f\u5728\u4e00\u4e2a\u5b9e\u9645\u7684patch\u5185\u5404\u6b65\u8fd0\u884c\u7684\u5b9e\u4f8b\u3002\u8bd5\u8bd5\u6539\u53d8\u97f3\u9ad8\u7684\u6570\u7ec4\u7684\u503c\u5230\u5176\u4ed6\u6bd4\u4f8b\u5ea6\uff08scale degree\uff09\u3002 <\/p>\n
16.11. \u97f3\u5e8f\u5668\u53d8\u5316 <\/strong><\/p>\n
( \r\nvar pitchArray; \r\npitchArray = [60, 62, 64, 65, 67, 69, 71, 72]; \r\npitchArray = [ \/\/\u9009\u53d6\u4ee5\u4e0b\u4e4b\u4e00 \r\n   (pitchArray + rrand(1, 12)).midicps, \/\/\u8f6c\u6362 \r\n   pitchArray.reverse.midicps, \/\/\u53cd\u5411 \r\n   pitchArray.scramble.midicps, \/\/\u6253\u6563 \r\n   Array.rand(12, 36, 72).midicps, \/\/\u968f\u673amidi \r\n   Array.rand(12, 100, 1200) \/\/\u968f\u673a\u9891\u7387 \r\n].choose;\r\n{\r\n   SinOsc.ar(\r\n      Select.kr(\r\n         Stepper.kr(Impulse.kr(7), max: pitchArray.size-1),\r\n         pitchArray),\r\n      mul: 0.5)\r\n}.play\r\n)<\/pre>\n
\u4f7f\u7528PM\u7684\u4e00\u4e2a\u66f4\u6709\u8da3\u7684\u4f8b\u5b50\uff1a <\/p>\n
( \r\n{ \r\nvar freq, freqArray, ratioArray, indexArray, \r\n   env, rate = 5, trig; \r\ntrig = Impulse.kr(rate); \r\nfreqArray = [48, 50, 52, 53, 55, 57, 59, 60, \r\n          62, 64, 65, 67, 69, 71, 72].scramble.midicps; \r\nratioArray = {rrand(1.0, 3.0)}.dup(20); \r\nindexArray = {rrand(1.0, 4.0)}.dup(20); \r\nenv = EnvGen.kr(Env.perc(0, 1\/rate), gate: trig); \r\nfreq = Select.kr(Stepper.kr(trig, max: freqArray.size-1), freqArray); \r\nPMOsc.ar( \r\n      freq, \r\n      freq*Select.kr(Stepper.kr(trig, max: ratioArray.size-1), ratioArray), \r\n      Select.kr(Stepper.kr(trig, max: indexArray.size-1), indexArray) \r\n      + env*4, \r\n      mul: env \r\n)}.play \r\n)<\/pre>\n
Stepper\u6709\u4e00\u4e2a\u5f15\u6570\u63a7\u5236\u5b83\u5728\u6570\u7ec4\u4e2d\u7684\u8fdb\u7a0b\u3002\u503c\u4e3a1\u5c06\u4e00\u6b21\u524d\u8fdb\u4e00\u6b65\u3002\u5982\u679c\u4e3a-1\uff0c\u5219\u4e00\u6b21\u540e\u9000\u4e00\u6b65\u3002\u5982\u679c\u503c\u4e3a3\uff0c\u5219\u79fb\u52a8\u4e09\u6b65\u3002<\/p>\n
\u91c7\u6837\u548c\u6301\u6709<\/h3>\n
\u91c7\u6837\uff08sample\uff09\u548c\u6301\u6709\uff08hold\uff09\u662f\u53e6\u4e00\u79cd\u53e4\u65e7\u6a21\u5757\u5316\u5408\u6210\u5668\u6240\u4f7f\u7528\u7684\u7ecf\u5178\u7684\u5408\u6210\u63a7\u5236\u6e90\u3002\u5b83\u5728\u6a21\u5757\u5316\u5230\u8054\u5408\u88c5\u7f6e\u7684\u8fc7\u6e21\u4e2d\u5e76\u6ca1\u5e78\u5b58\u4e0b\u6765\u3002\u4f46\u6211\u8ba4\u4e3a\u8fd9\u4e2a\u6548\u679c\u662f\u503c\u5f97\u4fdd\u7559\u7684\u3002\u5728SC\u4e2d\uff0c\u91c7\u6837\u548c\u6301\u6709\u7b49\u4e8eLatch.kr<\/em>\u3002 <\/p>\n
\u91c7\u6837\u548c\u6301\u6709\u4f7f\u7528\u4e00\u4e2a\u5468\u671f\u6ce2\u4f5c\u4e3a\u8f93\u5165\u3002\u8fd9\u4e2a\u6ce2\u4f9d\u89c4\u5f8b\u7684\u95f4\u9694\u8fdb\u884c\u91c7\u6837\u3002\u7ed3\u679c\u503c\u88ab\u7528\u4e8e\u4e00\u4e2a\u63a7\u5236\u3002\u5b83\u5bf9\u6ce2\u8fdb\u884c\u201c\u91c7\u6837\u201d\u5e76\u4e14\u201c\u6301\u6709\u201d\u90a3\u4e2a\u503c\uff0c\u76f4\u5230\u4e00\u4e2a\u65b0\u503c\u88ab\u91c7\u6837\u3002\u4f60\u53ef\u4ee5\u60f3\u8c61\u5b83\u662f\u4e00\u4e2a\u57fa\u4e8e\u4e00\u4e2a\u4f4e\u9891\u91c7\u6837\u7387\u7684\u6a21\u62df-\u6570\u5b57\u8f6c\u6362\u5668\uff08\u5c3d\u7ba1\u4ece\u6280\u672f\u4e0a\u6765\u8bf4\uff0c\u88ab\u91c7\u6837\u7684\u6ce2\u540c\u6837\u662f\u6570\u5b57\u7684\uff09\u3002\u8fd9\u4e2a\u6548\u679c\u7c7b\u4f3c\u4e8e\u4e00\u4e2a\u5e73\u6ed1\u8fdb\u7a0b\u7684\u95ea\u5149\u706f\u6216\u7535\u5f71\u622a\u5c4f\u5feb\u7167\u3002\u7136\u540e\u90a3\u4e2a\u5e73\u6ed1\u8fdb\u7a0b\u88ab\u91cf\u5316\u5165\u79bb\u6563\u7684\u6b65\u9aa4\u5185\u3002 <\/p>\n
\u5728\u5408\u6210\u4e2d\u8fd9\u6709\u4ec0\u4e48\u7528\u5462\uff1f\u4e3a\u4ec0\u4e48\u4f60\u60f3\u8981\u5b9a\u683c\u4e00\u4e2a\u6ce2\u5f62\uff1f\u56e0\u4e3a\u5982\u679c\u4f60\u7528\u4e00\u4e2a\u5468\u671f\u5f8b\u53bb\u91c7\u6837\u4e00\u4e2a\u5468\u671f\u6ce2\uff0c\u7ed3\u679c\u662f\u6301\u7eed\u8fdb\u5316\u7684\u6a21\u5f0f\uff08pattern\uff09\u3002\u88ab\u91c7\u6837\u7684\u6ce2\u4f1a\u751f\u6210\u522b\u540d\uff08alias\uff09\uff0c\u4e0e\u6211\u4eec\u5728\u7b2c6\u7ae0\u8ba8\u8bba\u7684\u522b\u540d\u7c7b\u4f3c\u3002\u7ee7\u7eed\u4f7f\u7528\u89c2\u5bdf\u949f\u8868\u79d2\u9488\u7684\u4f8b\u5b50\uff0c\u5728\u4e00\u4e2a\u7ed9\u5b9a\u7684\u201c\u91c7\u6837\u201d\u7387\u4e0b\u7741\u5f00\u4f60\u7684\u773c\u775b\u3002\u5982\u679c\u4f60\u6bcf\u79d2\u51c6\u65f6\u7741\u773c\uff0c\u4f60\u5c06\u5f97\u5230\u8fd9\u4e9b\u6570\u5b57\uff1a[1, 2, 3, 4, 5, 6, 7, \u2026]\u3002\u5e76\u4e0d\u5341\u5206\u6709\u8da3\u3002\u6bcf5\u79d2\u201c\u91c7\u6837\u4e00\u6b21\u53c8\u4f1a\u600e\u6837\u5462\uff1f[5, 10, 15, 20, \u2026]\u3002\u6069\uff0c\u8c8c\u4f3c\u597d\u4e00\u70b9\uff0c\u4f46\u4ecd\u7136\u5f88\u5bb9\u6613\u88ab\u9884\u6599\u3002\u4f46\u5f53\u8fd9\u4e2a\u91c7\u6837\u7387\u63a5\u8fd1\u65f6\u949f\u4e00\u5708\u7684\u5468\u671f\u65f6\uff0c\u6709\u8da3\u7684\u6a21\u5f0f\u51fa\u73b0\u4e86\u3002\u4e3e\u4e2a\u4f8b\u5b50\uff0c\u4ee546\u4f5c\u4e3a\u91c7\u6837\u7387\u3002\u7ed3\u679c\u4f1a\u600e\u6837\uff1fSC\u53ef\u4ee5\u544a\u8bc9\u6211\u4eec\u7b54\u6848\uff1aArray.fill(20, {arg i; i*46}).mod(60);<\/em>\u7ed3\u679c\u662f[ 0, 46, 32, 18, 4, 50, 36, 22, 8, 54, 40, 26, 12, 58, 44, 30, 16, 2, 48, 34 ]\u3002\u5b83\u4eec\u662f\u968f\u673a\u7684\u5417\uff1f\u4e0d\uff0c\u56e0\u4e3a\u91c7\u6837\u7387\u548c\u6570\u5b57\u5e8f\u5217\u90fd\u662f\u5468\u671f\u6027\u7684\uff0c\u56e0\u6b64\uff0c\u8fd9\u53ef\u4ee5\u88ab\u5b9a\u4e49\u4e3a\u4e00\u4e2a\u6a21\u5f0f\u3002\u800c\u4e14\u662f\u4e00\u4e2a\u76f8\u8f83\u97f3\u5e8f\u5668\u548c\u968f\u673a\u6765\u8bf4\uff0c\u66f4\u6709\u8da3\u7684\u6a21\u5f0f\u3002 <\/p>\n
\u8fd9\u4e2a\u70b9\u5b50\u662f\uff0c\u5c3d\u7ba1\u91c7\u6837\u7387\u4f4e\u5230\u65e0\u6cd5\u7cbe\u786e\u8868\u660e\u4e00\u4e2a\u6ce2\u7684\u771f\u5b9e\u5f62\u72b6\uff0c\u6a21\u5f0f\u4ecd\u5c06\u663e\u73b0\uff0c\u56e0\u4e3a\u8fd9\u4e2a\u6ce2\u662f\u5468\u671f\u6027\u7684\uff0c\u5e76\u4e14\u91c7\u6837\u7387\u4e5f\u662f\u3002\u73b0\u5728\u60f3\u8c61\u4e00\u4e2a\u6bcf\u79d2\u4ece0\uff5e1\u7136\u540e\u5f520\u79fb\u52a8\u7684\u952f\u9f7f\u6ce2\u3002\u5982\u679c\u91c7\u6837\u7387\u662f\u6bcf\u79d210\u6b21\uff0c\u5b9e\u9645\u8fd4\u56de\u7684\u503c\u5c06\u662f0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 0.0, 0.1, 0.2….\u7b49\u7b49\u3002\u8fd9\u4e2a\u952f\u9f7f\u6ce2\u7684\u5f62\u72b6\u5c06\u7531\u6bcf\u79d210\u6b21\u7684\u91c7\u6837\u7387\u6765\u5448\u73b0\u3002\u4f46\u5982\u679c\u91c7\u6837\u7387\u662f\u6bcf\u79d20.9\u6b21\uff0c\u7ed3\u679c\u4f1a\u662f\u600e\u6837\u7684\u5462\uff08\u6bcf10\u79d2\u91c7\u68379\u6b21\uff09\uff1f\u8fd9\u4e5f\u5c31\u662f\u8bf4\u6bcf\u6b21\u91c7\u6837\u7684\u65f6\u95f4\u603b\u91cf\uff0c\u6216\u7741\u5f00\u773c\u775b\u770b\u79d2\u9488\uff0c\u662f0.9\u79d2\u3002\u7b2c\u4e00\u4e2a\u503c\u5c06\u662f0\uff0c\u7136\u540e\u662f0.9\uff0c\u4f46\u63a5\u4e0b\u6765\u76840.9\u79d2\u4e4b\u540e\uff0c\u5c06\u662f0.8\uff0c\u63a5\u4e0b\u67650.7, 0.6, 0.5, 0.4, 0.3, 0.2, 0.1, 0, \u7136\u540e\u518d\u6b21\u8fd4\u56de0.9\uff0c\u4ee5\u6b64\u5f80\u590d\u3002\u5b83\u4eec\u770b\u8d77\u6765\u50cf\u4e58\u4ee59\uff0c\u4f46\u56e0\u4e3a\u952f\u9f7f\u6ce2\u6bcf\u79d2\u90fd\u4f1a\u91cd\u7f6e\u52300\uff0c\u503c\u5c06\u6c38\u8fdc\u4e0d\u4f1a\u9ad8\u4e8e1\uff08\u5c31\u50cf\u6a21\uff08modulo\uff09\u7684\u6982\u5ff5\uff09\u3002\u56e0\u6b64\u5c3d\u7ba1\u6700\u521d\u7684\u6ce2\u5f62\u662f\u4e00\u4e2a\u4e0a\u884c\u7684\u659c\u7ebf\uff0c\u4f46\u8fd9\u4e9b\u91c7\u6837\u572810\u79d2\u7684\u7a7a\u95f4\u5185\u63cf\u8ff0\u7684\u5374\u662f\u4e00\u4e2a\u4e0b\u884c\u7684\u659c\u7ebf\u3002\u5982\u679c\u91c7\u6837\u7387\u662f1.65\uff0c\u90a3\u4e48\u5b9e\u9645\u8fd4\u56de\u7684\u503c\u5c06\u662f0, 0.65, 0.3, 0.95, 0.6, 0.25, 0.9, 0.55, 0.2, 0.85, 0.5, 0.15, 0.8, 0.45, 0.1, 0.75, 0.4, 0.05, 0.7….\u7b49\u7b49\uff08\u4e58\u4ee51.65\u4f46\u6c38\u8fdc\u4e0d\u9ad8\u4e8e1\uff09\u3002\u8fd9\u4e2a\u5e8f\u5217\u751a\u81f3\u90fd\u4e0d\u9760\u8fd1\u539f\u59cb\u7684\u6ce2\u5f62\uff0c\u4f46\u5374\u6709\u4e00\u4e2a\u6e05\u6670\u7684\u6a21\u5f0f\uff0c\u5b9e\u9645\u4e0a\uff0c\u662f\u4e09\u4e2a\u4ea4\u9519\u7684\u6a21\u5f0f\u3002\u4ee5\u4e0b\u6570\u7ec4\u7684\u4f8b\u5b50\u5c55\u793a\u4e86\u4ece\u4e24\u4e2a\u5468\u671f\u6e90\u5448\u73b0\u51fa\u7684\u4e00\u4e9b\u6a21\u5f0f\u3002100\uff0c\u672c\u8d28\u4e0a\uff0c\u662f\u5468\u671f\u6ce2\uff0c95, 124, 165\u662f\u91c7\u6837\u7387\uff08\u522b\u60f3\u8fd9\u4e2a\u4f8b\u5b50\u592a\u4e45\u3002\u8fd9\u4f1a\u4ee4\u4f60\u611f\u5230\u8ff7\u60d1\u3002\u5c31\u770b\u5b83\u4eec\u8fd4\u56de\u7684\u6a21\u5f0f\u5c31\u597d\u3002\uff09\u3002<\/p>\n
16.12. Latch\u6a21\u5f0f<\/strong><\/p>\n
Array.fill(100, {arg i; i*95}).mod(100);<\/pre>\n
Array.fill(100, {arg i; i*124}).mod(100);<\/pre>\n
Array.fill(100, {arg i; i*165}).mod(100);<\/pre>\n
\u6211\u559c\u6b22\u91c7\u6837\u548c\u6301\u6709\uff0c\u56e0\u4e3a\u5b83\u5728\u53d8\u5316\u548c\u91cd\u590d\u95f4\u5236\u9020\u4e86\u4e00\u4e2a\u6f02\u4eae\u7684\u5e73\u8861\u3002\u5176\u5448\u73b0\u7684\u97f3\u5e8f\u65e2\u6bd4\u4e00\u4e2a\u5355\u72ec\u7684\u97f3\u5e8f\u5177\u6709\u66f4\u591a\u7684\u53d8\u5316\uff0c\u53c8\u6bd4\u4e00\u4e2aLFNoise<\/em>\u63a7\u5236\u66f4\u7d27\u5bc6\u3002 <\/p>\n
\u5c1d\u8bd5\u4e0b\u4f8b\u5e76\u503e\u542c\u9891\u7387\u4e2d\u7684\u952f\u9f7f\u6ce2\u5f62\u3002\u5728\u4e0a\u6587\u4e2d\uff0c\u6211\u6539\u53d8\u91c7\u6837\u7387\u6765\u5236\u9020\u4e00\u4e2a\u4e0d\u540c\u7684\u6a21\u5f0f\uff0c\u4f46\u5728\u8fd9\u4e2apatch\u4e2d\uff0c\u6211\u6539\u53d8\u7684\u662f\u88ab\u91c7\u6837\u6ce2\u7684\u9891\u7387\uff08\u7f29\u77ed\u6ce2\u800c\u4e0d\u662f\u5ef6\u957f\u91c7\u6837\u65f6\u95f4\uff09\u3002\u5728\u6a21\u5f0f\u4e0a\u7684\u6548\u679c\u662f\u4e00\u81f4\u7684\uff0c\u4f46\u8fd9\u4e2a\u65b9\u6cd5\uff0c\u91c7\u6837\u7387\u4ecd\u7136\u662f\u4e00\u6837\u7684\u3002\u6211\u4f7f\u7528\u4e00\u4e2aMouseX.kr<\/em>\u6765\u63a7\u5236\u88ab\u91c7\u6837\u7684LFSaw<\/em>\u7684\u9891\u7387\u3002\u5b83\u4ece0.1\u5f00\u59cb\uff0c\u6bcf10\u79d21\u6b21\u7136\u540e\u79fb\u52a8\u523020\u3002\u5f53\u9f20\u6807\u79fb\u52a8\u5230\u8367\u5e55\u6700\u5de6\u8fb9\uff0c\u4f60\u5e94\u8be5\u542c\u5230\u7ecf\u8fc7\u9891\u7387\u63a7\u5236\u540e\u7684\u6ce2\u5f62\u3002\u5f53\u4f60\u79fb\u52a8\u5230\u53f3\u8fb9\uff0c\u4f60\u4ece\u672c\u8d28\u4e0a\u7f29\u77ed\u4e86\u4e0e\u91c7\u6837\u7387\u6709\u5173\u7684\u88ab\u91c7\u6837\u6ce2\uff0c\u5e76\u4e14\u5e73\u6ed1\u7684\u659c\u7ebf\u5c06\u5f00\u59cb\u6d88\u5931\uff0c\u4f46\u5374\u5c06\u4e00\u76f4\u6709\u4e00\u4e2a\u6a21\u5f0f\u5b58\u5728\u7740\u3002\u7b2c\u4e8c\u4f8b\u7528Line.kr\u53d6\u4ee3\u4e86\u9f20\u6807\u63a7\u5236\uff0c\u8fd9\u7cbe\u7ec6\u5730\u9610\u660e\u4e86\u4ece\u4e00\u4e2a\u6a21\u5f0f\u5230\u4e0b\u4e00\u4e2a\u6a21\u5f0f\u7684\u6e10\u53d8\u3002<\/p>\n
16.13. Latch<\/strong><\/p>\n
(\r\n{\r\nSinOsc.ar(\r\n   Latch.kr(\r\n      LFSaw.kr(MouseX.kr(0.1, 20), 0, 500, 600),\r\n      Impulse.kr(10)),\r\n   mul: 0.3 \/\/Volume of Blip\r\n)\r\n}.scope(1)\r\n)<\/pre>\n
(\r\n{\r\nSinOsc.ar(\r\n   Latch.kr(\r\n      LFSaw.kr(Line.kr(0.1, 20, 60), 0, 500, 600),\r\n      Impulse.kr(10)),\r\n   mul: 0.3 \/\/Volume of Blip\r\n)\r\n}.scope(1)\r\n)<\/pre>\n
\u6ce2\u7684\u9891\u7387\u4e0e\u91c7\u6837\u7387\u6539\u53d8\u7684\u5173\u7cfb\u4f7f\u4f60\u542c\u5230\u4e0d\u540c\u7684\u6a21\u5f0f\uff0c\u6709\u7684\u5f88\u660e\u663e\uff0c\u5176\u4ed6\u7684\u5f88\u60ca\u4eba\u3002\u4f46\u4efb\u4f55\u4e24\u4e2a\u503c\u90fd\u5c06\u4ea7\u751f\u67d0\u4e9b\u6a21\u5f0f\uff0c\u56e0\u4e3a\u89e6\u53d1\u5668\u548c\u6ce2\u90fd\u662f\u5468\u671f\u6027\u7684\u3002 <\/p>\n
Latch<\/em>\u53ef\u4ee5\u88ab\u7528\u4e8e\u63a7\u5236\u8c03\u5236\u5668\u3001\u8f7d\u4f53\u6216\u6307\u6570\u7684\u632f\u5e45\u3001\u9891\u7387\u3002\u7b2c\u56db\u4e2a\u4f8b\u5b50\u4f7f\u7528\u4e86\u8fd9\u4e09\u8005\u7684\u63a7\u5236\u3002\u53f3\u58f0\u9053\u88ab\u8bbe\u7f6e\u4e3a\u5ef6\u8fdf2\u79d2\u53d1\u58f0\uff0c\u4ee5\u83b7\u5f97\u66f4\u597d\u7684\u591a\u6837\u6027\u3002<\/p>\n
16.14. Latch <\/strong><\/p>\n
( \r\n{ \/\/ \u63a7\u5236\u8c03\u5236\u5668\u548c\u8f7d\u4f53\u9891\u7387 \r\nf = Latch.kr( \r\n      LFSaw.kr(MouseX.kr(1.1, 30), 0, 1000, 1100), \r\n      Impulse.kr(10)); \r\nPMOsc.ar([f, f*3\/2], f*2, 12, mul: 0.3) \r\n}.scope(2) \r\n)<\/pre>\n
( \r\n{ \/\/ \u63a7\u5236\u6307\u6570 \r\ni = Latch.kr( \r\n      LFSaw.kr(MouseX.kr(1.1, 30), 0, 5, 5), \r\n      Impulse.kr(10)); \r\nPMOsc.ar([300, 350], 356, i, mul: 0.3) \r\n}.scope(2) \r\n)<\/pre>\n
( \r\n{ \/\/ \u63a7\u5236\u6bd4\u7387 \r\nr = Latch.kr( \r\n      LFSaw.kr(MouseX.kr(1.1, 30), 0, 2.0, 3.0), \r\n      Impulse.kr(10)); \r\nPMOsc.ar(300, [300*r, 400*r], 12, mul: 0.3) \r\n}.scope(2) \r\n)<\/pre>\n
( \r\n{ \/\/ \u5f53\u7136, \u754c\u5b9a\uff08scale\uff09\u4ee5\u63a7\u5236\u4e09\u8005 \r\nc = Latch.kr( \r\n      LFSaw.kr(MouseX.kr(1.1, 30), 0, 0.5, 0.5), \r\n      Impulse.kr(10)); \r\nf = c*1000+200; \r\no = PMOsc.ar(f, f*(c*3+4), c*5+6, mul: 0.3); \r\n[o, CombL.ar(o, 2, 2)] \r\n}.scope(2) \r\n)<\/pre>\n
\u5728\u4e4b\u524d\u5173\u4e8e\u95f4\u9694\uff08interval\uff09\u7684\u7ae0\u8282\uff0c\u6211\u4eec\u770b\u5230\u4e24\u4e2a\u9891\u7387\u7684\u6bd4\u7387\u51b3\u5b9a\u7740\u7834\u574f\u6027\u548c\u5efa\u8bbe\u6027\u5e72\u6d89\u56fe\u6837\uff08interference patterns,\uff09\u7684\u76f8\u5bf9\u590d\u6742\u4e0e\u7b80\u5355\u7a0b\u5ea6\uff0c\u8fdb\u800c\u51b3\u5b9a\u548c\u8c10\u6ce2\u4e0e\u4e0d\u548c\u8c10\u6ce2\u7684\u6c34\u5e73\uff08level\uff09\u3002\u5bf9\u4e8eS&H\uff08\u91c7\u6837\u4e0e\u6301\u6709\uff09\u6765\u8bf4\uff0c\u4e5f\u662f\u8fd9\u6837\u3002\u88ab\u91c7\u6837\u6ce2\u7684\u9891\u7387\u4e0e\u91c7\u6837\u7387\u4e4b\u95f4\u7684\u6bd4\u7387\u5c06\u51b3\u5b9a\u6a21\u5f0f\u3002\u5982\u679c\u6211\u4eec\u5c06\u4e24\u4e2a\u503c\u8054\u7cfb\u8d77\u6765\uff0c\u5f53\u91c7\u6837\u7387\u6539\u53d8\u65f6\uff0c\u540c\u6837\u7684\u6a21\u5f0f\u5c06\u6301\u7eed\u3002\u5728\u4e0b\u8fb9\u7684patch\u4e2d\uff0c\u8bd5\u7740\u7528\u786e\u5207\u7684\u6bd4\u7387\u66ff\u6362MouseX<\/em>\u3002\u6211\u53d1\u73b01.6\uff5e1.75\u4e4b\u95f4\u7684\u503c\u6bd4\u8f83\u8d5e\uff08\u4e2d\u5eb8\u4e4b\u9053\uff0c\u4e07\u4e00\u4f60\u662f\u90a3\u7c7b\u5bb6\u4f19\uff0c\u75281.61803399\uff09\u3002 <\/p>\n
\u7b2c\u4e8c\u4e2a\u4f8b\u5b50\u52a0\u5165\u591a\u4e00\u4e2a\u63a7\u5236\uff0c\u56e0\u6b64\u91c7\u6837\u7387\u5c06\u6301\u7eed\u6cbf\u6709\u8da3\u7684\u6a21\u5f0f\u79fb\u52a8\u3002 <\/p>\n
16.15. Latch\u91c7\u6837\u548c\u901f\u7387 (Blip, Latch, LFSaw, Impulse, mul) <\/strong><\/p>\n
( \r\n{ \r\nvar rate, speed, ratio; \r\nrate = MouseX.kr(1, 24); \r\nratio = 1.61803399; \r\nc = Latch.kr( \r\n      LFSaw.kr(rate*ratio, 0, 0.5, 0.5), \r\n      Impulse.kr(rate)); \r\nf = c*1000+200; \r\no = PMOsc.ar(f, f*(c*3+4), c*5+6, mul: 0.3); \r\n[o, CombL.ar(o, 2, 2)] \r\n}.scope(1) \r\n)<\/pre>\n
( \r\n{ \r\nvar rate, speed, ratio; \r\nrate = MouseX.kr(1, 24); \r\nratio = SinOsc.ar(2\/7, mul: 0.2, add: 1.75); \r\nc = Latch.kr( \r\n      LFSaw.kr(rate*ratio, 0, 0.5, 0.5), \r\n      Impulse.kr(rate)); \r\nf = c*1000+200; \r\no = PMOsc.ar(f, f*(c*3+4), c*5+6, mul: 0.3); \r\n[o, CombL.ar(o, 2, 2)] \r\n}.scope(2) \r\n)<\/pre>\n
\u53e6\u4e00\u4e2a\u751f\u6210\u8da3\u5473\u7684\u65b9\u6cd5\u662f\u91c7\u6837\u4e00\u4e2a\u66f4\u590d\u6742\u7684\u6ce2\u5f62\u3002\u5373\u4f7f\u5b83\u590d\u6742\uff0c\u5982\u679c\u5b83\u662f\u5468\u671f\u6027\u7684\uff0c\u6ce2\u91cc\u7684\u6a21\u5f0f\u5c06\u5728\u63a7\u5236\u503c\u4e2d\u53d8\u5f97\u660e\u663e\u3002\u7528\u4e0b\u8fb9\u7684\u6ce2\u4f5c\u4e3a\u4e00\u4e2a\u4f8b\u5b50\u3002\u56db\u4e2a\u6ce2\u6df7\u5408\u521b\u5efa\u4e00\u4e2a\u66f4\u590d\u6742\u7684\uff0c\u4f46\u4ecd\u662f\u5468\u671f\u6027\u7684\uff0c\u6ce2\u3002\u7136\u540e\u518d\u5c06\u5b83\u653e\u8fdbLatch<\/em>\u4e2d\u3002 <\/p>\n
16.16. \u5c06\u590d\u6742\u6ce2\u5f62\u4f5c\u4e3a\u91c7\u6837\u6e90 (Mix, SinOsc, Blip, Latch, Mix, Impulse) <\/strong><\/p>\n
{Mix.ar(SinOsc.ar([100, 200, 300, 550], mul: 0.1))}.scope(1)<\/pre>\n
( \r\n\/\/\u5728\u91c7\u6837\u548c\u6301\u6709\u4e2d\u4f7f\u7528 \r\n{ \r\nf = Latch.kr( \r\n      Mix.ar(SinOsc.ar([100, 200, 300, 550], mul: 100, add: 110)), \r\n      Impulse.kr(7)); \r\ne = EnvGen.kr(Env.perc(0, 0.2), Impulse.kr(7)); \r\nPMOsc.ar(f, f*1.25, e*5, mul: e*0.3) \r\n}.play \r\n)<\/pre>\n
\u91c7\u6837\u548c\u6301\u6709\u3001FM\u7ec3\u4e60<\/h3>\n
\u5982\u679c\u4f60\u4e0d\u77e5\u9053\u6211\u771f\u7684\u975e\u5e38\u559c\u6b22S&H\uff08\u91c7\u6837\u548c\u6301\u6709\uff09\u7684\u7ed3\u679c\uff0c\u90a3\u4e48\u6211\u4eec\u66f4\u5e94\u8be5\u591a\u52a0\u4f7f\u7528\u5b83\u3002\u6211\u60f3\u4e0d\u5230\u5176\u4ed6\u4efb\u4f55\u7ec4\u7ec7\u65b9\u6cd5\u53ef\u4ee5\u751f\u6210\u5982\u6b64\u5f15\u4eba\u5165\u80dc\u7684\u6a21\u5f0f\u3002\u5728\u4e0b\u4f8b\u5185\u5c1d\u8bd51\/rate\u7684\u97f3\u5934\u548c0\u7684\u8870\u51cf\u3002\u5c1d\u8bd5\u66ff\u6362\u7684latchrates<\/em>\uff0c\u5b83\u4f1a\u9010\u4e00\u6216\u9636\u68af\u5f0f\u5730\u8d8a\u8fc71.53\u52301.63\u95f4\u7684\u968f\u673a\u503c\u3002\u8fd9\u4e2apatch\u88ab\u7528[freq, freq * 1.5]\u6269\u5c55\u4e3a\u7acb\u4f53\u58f0\u3002\u8fd9\u5728\u53f3\u58f0\u9053\u521b\u5efa\u4e00\u4e2a\u4e94\u5ea6\uff08fifth\uff09\u3002\u5c1d\u8bd5\u5176\u4ed6\u97f3\u7a0b\u6bd4\u59821.2, 1.7, 2, 1.25\u7b49\u3002\u53cd\u6ce8\u91ca\u95e8\u95e9\u7387\uff08latch rate\uff09\u3001\u9891\u7387\u548c\u6bd4\u7387\uff0c\u6216\u8005\u6dfb\u52a0\u4f60\u81ea\u5df1\u7684\u3002<\/p>\n
\u5173\u952e\u662f\u627e\u5230\u53ef\u4ee5\u8ba9\u4f60\u4fdd\u6301\u5173\u6ce8\u7684\u590d\u6742\u5ea6\uff1a\u4f60\u80fd\u6301\u7eed\u8ddf\u968f\u7684\u6d8c\u73b0\u6a21\u5f0f\u7684\u751c\u871c\u7684\u70b9\uff0c\u5e76\u4e14\u5177\u5907\u80fd\u591f\u8ba9\u4f60\u957f\u65f6\u95f4\u4fdd\u6301\u6ce8\u610f\u7684\u8db3\u591f\u591a\u7684\u53d8\u5316\u3002\u8fd9\u96be\u9053\u90a3\u4e0d\u662f\u6240\u6709\u521b\u4f5c\u90fd\u5e94\u8be5\u662f\u7684\u6837\u5b50\u5417\uff1a\u53ef\u9884\u89c1\u6027\u548c\u60ca\u559c\u7684\u6df7\u5408\u4f53\u3002<\/p>\n
\u7b2c\u4e8c\u4f8b\u672a\u4f7f\u7528S&H\u6216\u97f3\u5e8f\u5668\uff08\u4e5f\u8bb8\u4f60\u53ef\u4ee5\u81ea\u5df1\u52a0\u4e00\u4e2a\uff1f\uff09\uff0c\u4f46\u9610\u8ff0\u4e86PM\u3002\u8fd9\u662fJames McCartney\u5199\u7684SC2\u4f8b\u5b50\u5176\u4e2d\u4e4b\u4e00\u7684\u53d8\u4f53\u3002James
\nHarkins \u9996\u5148\u5c06\u5b83\u5199\u4e3aSC3\u4ee3\u7801\uff0c\u7136\u540e\u6211\u8fdb\u884c\u4e86\u8fdb\u4e00\u6b65\u6539\u52a8\u3002\u5b83\u7528\u590d\u6742\u7684\u6bd4\u7387\u751f\u6210PM\u4e8b\u4ef6\uff0c\u7ed3\u679c\u662f\u4e00\u5806\u5177\u5907\u5305\u7edc\u7684\u632f\u5e45\u548c\u8c03\u5236\u6307\u6570\u96c6\u5408\u7684\u4e0d\u8c10\u548c\u9891\u8c31\uff08\u50cf\u4e00\u6761\u54cd\u5c3e\u86c7\uff09\u3002<\/p>\n
\u5b9e\u9645\u751f\u6210\u54cd\u5c3e\u86c7\u4e8b\u4ef6\u7684\u4ee3\u7801\u662f\u4e00\u6761\u4f7f\u7528\u968f\u673a\u51fd\u6570\u7684\u4f8b\u7a0b\uff08routine\uff09\uff0c\u4f46\u8981\u8bb0\u4f4f\u5b83\u4ece\u4e00\u4e2a\u968f\u673a\u6570\u751f\u6210\u5668\u83b7\u53d6\u503c\u3002\u8bb0\u4f4f\u4f60\u53ef\u4ee5\u91cd\u8bbe\u968f\u673a\u6570\u5217\u7684\u79cd\u5b50\uff0c\u540c\u65f6\u7cbe\u51c6\u5730\u91cd\u5236\u503c\u7684\u5e8f\u5217\u3002\u7b2c\u4e09\u4f8b\u8fd9\u4e48\u505a\u4e86\uff0c\u5e76\u4e14\u90a3\u4e9b\u5076\u7136\u7684\u91cd\u590d\u4f1a\u7ed9\u4eba\u4e00\u79cd\u5df2\u88ab\u8ba4\u77e5\u7684\u5373\u5174\u59ff\u6001\u7684\u611f\u89c9\u3002\u4ed6\u5468\u671f\u6027\u5730\u53d1\u9001\u201c\u79cd\u5b50\u201d\uff0c\u6216\u8005\u4ece\u65f6\u949f\u91cc\u9009\uff08\u65f6\u95f4\u768470%\uff09\uff0c\u6216\u91cd\u590d\u4e4b\u524d\u7684\u79cd\u5b50\uff0830%\uff09\u3002\u4f60\u53ef\u4ee5\u628a\u8fd9\u4e2a\u4efb\u52a1\u60f3\u505a\u4e00\u4e2a\u6307\u6325\u8005\uff0c\u5f15\u5bfc\u8868\u6f14\u8005\u8981\u4e48\uff08\u4ece\u65e0\u6570\u53ef\u80fd\u7684\u52a8\u4f5c\u4e2d\uff09\u8fdb\u5165\u4e00\u4e9b\u65b0\u7684\u4e1c\u897f\u6216\u8005\u91cd\u590d\u4f60\u66fe\u505a\u8fc7\u7684\u4e8b\u3002<\/p>\n
\u4e00\u6b21\u6f14\u594f\u5168\u90e8\u4f8b\u5b50\u3002\u8fd9\u65f6\u4f60\u53ef\u80fd\u60f3\u8981\u8c03\u6574\u4e00\u4e0b\u7b2c\u4e00\u4f8b\u7684\u5168\u5c40\u97f3\u91cf\u3002<\/p>\n
16.17. Practice, Sample and Hold, FM<\/strong><\/p>\n
(\r\n{var freq, latchrate, index, ratio, env, rate;\r\nrate = 9;\r\nlatchrate = rate*1.61803399;\r\n\/\/ latchrate = rate*LFNoise1.kr(1\/7, mul: 0.03, add: 1.6);\r\n\/\/ latchrate = rate*LFNoise0.kr(1\/3, mul: 0.03, add: 1.6);\r\n\r\nindex = Latch.kr(\r\n   LFSaw.kr(latchrate, mul: 4, add: 8),\r\n   Impulse.kr(rate)\r\n);\r\nfreq = Latch.kr(\r\n   LFSaw.kr(latchrate, mul: 36, add: 60),\r\n   Impulse.kr(rate)\r\n   ).round(1).midicps;\r\n\/\/ freq = 200; \/\/uncomment this line to hear just the index\r\n\r\nratio = 2.01;\r\n\/\/ ratio = LFNoise1.kr(1, mul: 2.3, add: 3.0);\r\n\/\/ ratio = LFNoise0.kr(1, mul: 2.3, add: 3.0);\r\n\/\/ ratio = LFNoise1.kr(1\/5, mul: 2.0, add: 5.0);\r\n\r\nenv = EnvGen.kr(Env.perc(0, 2\/rate), gate: Impulse.kr(rate));\r\n\r\nPMOsc.ar([freq, freq * 1.5],\r\n      [freq*ratio, freq*1.5*ratio],\r\n      index,\r\n      mul: env*0.5\r\n)}.play\r\n)<\/pre>\n
\/\/ \u53d8\u4f53\u3002\u6211\u7231\u8fd9\u4e00\u4f8b\u3002\r\n(\r\n{var freq, latchrate, index, ratio, env, rate;\r\nrate = 9;\r\nlatchrate = rate*LFNoise0.kr(1\/10, mul: 0.03, add: 1.6);\r\nindex = Latch.kr(\r\n   LFSaw.kr(latchrate, mul: 5, add: 6),\r\n   Impulse.kr(rate)\r\n   );\r\nfreq = Latch.kr(\r\n   LFSaw.kr(latchrate,\r\n      mul: max(0, LFNoise1.kr(1\/5, 24, 10)),\r\n      add: LFNoise0.kr(1\/7, 12, 60)),\r\n   Impulse.kr(rate)\r\n   ).round(1).midicps;\r\nratio = LFNoise1.kr(1\/10, mul: 2.0, add: 5.0);\r\n\r\nenv = EnvGen.kr(Env.perc(0, LFNoise0.kr(rate, 1, 1.5)\/rate), Impulse.kr(rate),\r\nLFNoise1.kr([5, 5], 2, 1).max(0).min(0.8));\r\nPMOsc.ar(\r\n   [freq, freq * 1.5],\r\n   freq*ratio,\r\n   index,\r\n   mul: env \/\/overall volume\r\n)}.play\r\n)<\/pre>\n
\u54cd\u5c3e\u86c7\u3002\u5148\u8fd0\u884c\u8fd9\u4e2a\u4f8b\u5b50\u4ee5\u5b9a\u4e49\u5408\u6210\u5668\uff0c\u7136\u540e\u6267\u884c\u4e0b\u8fb9\u7684\u201ctask\u201d\uff0c\u6b21\u6570\u7531\u4f60\u51b3\u5b9a\u3002<\/p>\n
(\r\nSynthDef(\"crotale\", {\r\narg param = #[500, 3, 2, 0, 6, 5, 0, 0.9];\r\nvar factor, env, out, freq, index, dur;\r\nvar bus, ratioa, ratiob, attack, decay, panCont;\r\nfreq = param.at(0); index = param.at(1); dur = param.at(2);\r\nbus = param.at(3); ratioa = param.at(4); ratiob = param.at(5);\r\nattack = param.at(6); decay = param.at(7);\r\n\r\nenv = Env.perc(attack, decay);\r\nfactor = gcd(ratioa, ratiob);\r\nratioa = div(ratioa, factor);\r\nratiob = div(ratiob, factor);\r\n\r\npanCont = (EnvGen.kr(env, timeScale: dur*1.1,\r\n   levelBias: -1, levelScale: 2))\r\n        * (IRand(0, 1) * 2 - 1); \/\/ 0*2-1 = -1, 1*2-1 = 1\r\n\r\nout = PMOsc.ar(\r\n   ratioa*freq, \/\/or try ratioa*freqCont,\r\n   ratiob*freq, \/\/or try ratioa*freqCont,\r\n   pmindex: EnvGen.kr(env, timeScale: dur,\r\n      levelBias: 1, levelScale: index),\r\n   mul: EnvGen.kr(env, timeScale: dur, levelScale: 0.3));\r\n\r\nout = Pan2.ar(out, panCont);\r\nout = out * EnvGen.kr(env, timeScale: 1.3*dur,\r\n   levelScale: Rand(0.1, 0.5), doneAction:2);\r\nOut.ar(0, out); \/\/Out.ar(bus, out);\r\n}).play;\r\n)\r\n\r\n\/\/\u8fd0\u884c\u4e0a\u8fb9\u7684\u4ee3\u7801\u4ee5\u5b9a\u4e49\u4e50\u5668\r\n\/\/\u7136\u540e\u8fd0\u884c\u8fd9\u4e2atask\uff08\u4efb\u52a1\uff09\u4ee5\u5b9e\u9645\u6f14\u594f\u4e50\u5668\r\n\r\n(\r\nr = Task({\r\n   var freq, indexDepth, indexRange, synthIndex, dur, repeat;\r\n   var next, count, countDown, offset, ratioa, ratiob, envs, env;\r\n   var range = 60, outBus = 0;\r\n   count = 0; countDown = 0; offset = 0;\r\n   envs = [[0, 0.9], [0.01, 0.9], [0.1, 0.8], [0.8, 0.01]];\r\n   repeat = Array.fill(10,\r\n      {[rrand(range, range+24).round(1).midicps, 3,\r\n         2.1 - exprand(0.1, 2.0), 0, 1, 1, 0, 0.9]});\r\n   next = Array.fill(10, {[3, 0.75, 0.5, 0.25, 0.125].choose});\r\n   freq = rrand(range, range*2); \/\/ these two are just starting points\r\n   indexDepth = 1;\r\n\r\n   inf.do({\r\n      if(countDown <= 0,\r\n         {\r\n         env = envs.choose;\r\n         next.put(count%10, [3, 0.5, 0.25, 0.125, 0.125].choose);\r\n         repeat.put(count%10, [\r\n            rrand(range, range + 24).round(1).midicps,\r\n            rrand(0.1, 12.0),\r\n            2.1 - exprand(0.1, 2.0), outBus, rrand(1, 12),\r\n            rrand(1, 12), env.at(0), env.at(1)]);\r\n         });\r\n\r\n         Synth(\"crotale\").setn(\\param, repeat.wrapAt(count));\r\n         next.wrapAt(count).wait;\r\n         if((count > 10).and(countDown <= 0),\r\n            {offset = countDown = [0, 3.rand, 6.rand].choose;\r\n            count = count - offset});\r\n   count = count + 1;\r\n   countDown = countDown - 1;\r\n   });\r\n}).play(SystemClock);\r\n)<\/pre>\n","protected":false},"excerpt":{"rendered":"
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