angelormrl/Untitled5.ipynb

## Untitled5.ipynb
{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import librenderman as rm\n",
    "import matplotlib.pyplot as plt\n",
    "import pyaudio\n",
    "%matplotlib inline\n",
    "\n",
    "engine = rm.RenderEngine(44100, 512)\n",
    "path = '/Library/Audio/Plug-Ins/VST/Dexed.vst'\n",
    "if engine.load_plugin(path):\n",
    "    print 'loaded succesfully!'\n",
    "\n",
    "params = engine.get_plugin_parameters_description()\n",
    "\n",
    "print params"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "generator = rm.PatchGenerator(engine)\n",
    "\n",
    "random_patch = generator.get_random_patch()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x1060114d0>]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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1+8/Idq3d5O9s9Oq+rSLyvETemBjC0Ll5/cqdyeJx0lSi+p+zPdeaWjZhEGpU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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x114573a50>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "engine.set_patch(random_patch)\n",
    "\n",
    "engine.render_patch(40, 127, 4.0, 5.0)\n",
    "\n",
    "audio = engine.get_audio_frames()\n",
    "\n",
    "plt.plot(audio)\n",
    "\n",
    "#engine.get_mfcc_frames()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
	{
	"cells": [
	{
	"cell_type": "code",
	"execution_count": null,
	"metadata": {},
	"outputs": [],
	"source": [
	"import librenderman as rm\n",
	"import matplotlib.pyplot as plt\n",
	"import pyaudio\n",
	"%matplotlib inline\n",
	"\n",
	"engine = rm.RenderEngine(44100, 512)\n",
	"path = '/Library/Audio/Plug-Ins/VST/Dexed.vst'\n",
	"if engine.load_plugin(path):\n",
	" print 'loaded succesfully!'\n",
	"\n",
	"params = engine.get_plugin_parameters_description()\n",
	"\n",
	"print params"
	]
	},
	{
	"cell_type": "code",
	"execution_count": 6,
	"metadata": {
	"collapsed": true
	},
	"outputs": [],
	"source": [
	"generator = rm.PatchGenerator(engine)\n",
	"\n",
	"random_patch = generator.get_random_patch()"
	]
	},
	{
	"cell_type": "code",
	"execution_count": 7,
	"metadata": {},
	"outputs": [
	{
	"data": {
	"text/plain": [
	"[<matplotlib.lines.Line2D at 0x1060114d0>]"
	]
	},
	"execution_count": 7,
	"metadata": {},
	"output_type": "execute_result"
	},
	{
	"data": {
	"image/png": 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1+8/Idq3d5O9s9Oq+rSLyvETemBjC0Ll5/cqdyeJx0lSi+p+zPdeaWjZhEGpU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\n",
	"text/plain": [
	"<matplotlib.figure.Figure at 0x114573a50>"
	]
	},
	"metadata": {},
	"output_type": "display_data"
	}
	],
	"source": [
	"engine.set_patch(random_patch)\n",
	"\n",
	"engine.render_patch(40, 127, 4.0, 5.0)\n",
	"\n",
	"audio = engine.get_audio_frames()\n",
	"\n",
	"plt.plot(audio)\n",
	"\n",
	"#engine.get_mfcc_frames()"
	]
	},
	{
	"cell_type": "code",
	"execution_count": null,
	"metadata": {
	"collapsed": true
	},
	"outputs": [],
	"source": []
	}
	],
	"metadata": {
	"kernelspec": {
	"display_name": "Python 2",
	"language": "python",
	"name": "python2"
	}
	},
	"nbformat": 4,
	"nbformat_minor": 2
	}
No results found