Created
June 4, 2015 22:10
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| { | |
| "metadata": { | |
| "name": "librosa write bug" | |
| }, | |
| "nbformat": 3, | |
| "nbformat_minor": 0, | |
| "worksheets": [ | |
| { | |
| "cells": [ | |
| { | |
| "cell_type": "code", | |
| "collapsed": false, | |
| "input": "# this one lets us call external command line programs\nfrom subprocess import Popen\n\nimport math\n\nimport numpy as np\n# we wanna make plots like in Matlab!\n# same idea, we can just type \"plt\" instead of the whole name\nimport matplotlib.pyplot as plt\n\nimport librosa\n\n%matplotlib inline", | |
| "language": "python", | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "output_type": "stream", | |
| "stream": "stderr", | |
| "text": "/Library/Python/2.7/site-packages/statsmodels-0.5.0-py2.7-macosx-10.8-intel.egg/scikits/__init__.py:1: UserWarning: Module readline was already imported from /Library/Python/2.7/site-packages/readline.pyc, but /Library/Python/2.7/site-packages/readline-6.2.4.1-py2.7-macosx-10.7-intel.egg is being added to sys.path\n __import__('pkg_resources').declare_namespace(__name__)\n" | |
| } | |
| ], | |
| "prompt_number": 1 | |
| }, | |
| { | |
| "cell_type": "code", | |
| "collapsed": false, | |
| "input": "def play_sound_file(sound_filename):\n p = Popen([\"play\", sound_filename])", | |
| "language": "python", | |
| "metadata": {}, | |
| "outputs": [], | |
| "prompt_number": 10 | |
| }, | |
| { | |
| "cell_type": "code", | |
| "collapsed": false, | |
| "input": "two_pi = math.pi * 2.0\nprint two_pi\nsr = 44100.0\nratio = 3.0/2.0\n\nf1 = 300.0\nph1 = 0.0\nprint f1\n\n#compute num samps needed for integer number of cycles of each freq\ns1 = int(sr/f1)\n\nprint s1\n\n#st is num samples needed for all three\nloop_length = s1\n\nprint loop_length\n\n# compute phase increments\npi1 = two_pi / s1\n\n\nprint pi1\n\n\nsamps1 = np.arange(0, loop_length, dtype=np.float)\n", | |
| "language": "python", | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "output_type": "stream", | |
| "stream": "stdout", | |
| "text": "6.28318530718\n300.0\n147\n147\n0.0427427571917\n" | |
| } | |
| ], | |
| "prompt_number": 6 | |
| }, | |
| { | |
| "cell_type": "code", | |
| "collapsed": false, | |
| "input": "for i in range(loop_length):\n samps1[i] = math.sin(ph1)\n ph1 += pi1\n if ph1 > two_pi:\n ph1 -= two_pi\n", | |
| "language": "python", | |
| "metadata": {}, | |
| "outputs": [], | |
| "prompt_number": 7 | |
| }, | |
| { | |
| "cell_type": "code", | |
| "collapsed": false, | |
| "input": "# make a figure with a 1/3 aspect ratio\nplt.figure(figsize=plt.figaspect(.3))\nplt.title(\"waveform\")\nplt.ylabel(\"amp\")\nplt.xlabel(\"seconds\")\n# plot it, with the x axis as seconds. What's linspace doing here???\nplt.plot(np.linspace(0.0, samps1.size/sr, samps1.size), samps1)\n", | |
| "language": "python", | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "metadata": {}, | |
| "output_type": "pyout", | |
| "prompt_number": 9, | |
| "text": "[<matplotlib.lines.Line2D at 0x109970650>]" | |
| }, | |
| { | |
| "metadata": {}, | |
| "output_type": "display_data", | |
| "png": 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IiKRHU8gCWGoqDBoEn34KX34JMTG2E4nY8/PPZo+j2Fj47381pUxERORGaAqZZLo//zRz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\n", | |
| "text": "<matplotlib.figure.Figure at 0x10975b950>" | |
| } | |
| ], | |
| "prompt_number": 9 | |
| }, | |
| { | |
| "cell_type": "code", | |
| "collapsed": false, | |
| "input": "out_samps = np.array(samps1)\n\nfor i in range(100):\n out_samps = np.append(out_samps, samps1)\n \nplt.figure(figsize=plt.figaspect(.3))\nplt.title(\"waveform\")\nplt.ylabel(\"amp\")\nplt.xlabel(\"seconds\")\nplt.plot(np.linspace(0.0, 0.25, sr/4.0), out_samps[:sr/4.0])\n\n# with normalize = False it's fine\n# with normalize = True it's buggy\nlibrosa.output.write_wav(\"write_bug.wav\", out_samps, sr, normalize = False)\n\nplay_sound_file(\"write_bug.wav\")", | |
| "language": "python", | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "metadata": {}, | |
| "output_type": "display_data", | |
| "png": 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rt0lceOpYV6xyyolvXJ5tgNu1+sY1Opqelgv/P9PXIBzfzzfXvWrqnoObF7Y4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\nIjjm2BYXvpHh7C2V45hj7lxLy+E+lLO3fX3B95B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| |
| "text": "<matplotlib.figure.Figure at 0x109736b50>" | |
| } | |
| ], | |
| "prompt_number": 14 | |
| }, | |
| { | |
| "cell_type": "code", | |
| "collapsed": false, | |
| "input": "", | |
| "language": "python", | |
| "metadata": {}, | |
| "outputs": [] | |
| } | |
| ], | |
| "metadata": {} | |
| } | |
| ] | |
| } |
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