factored more out of lab 3: mfccs, segmentation, etc.

Table_of_Contents.ipynb

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+    {
+     "cell_type": "heading",
+     "level": 1,
+     "metadata": {},
+     "source": [
+      "CCRMA Workshop on Music Information Retrieval"
+     ]
+    },
+    {
+     "cell_type": "heading",
+     "level": 2,
+     "metadata": {},
+     "source": [
+      "Table of Contents"
+     ]
+    },
+    {
+     "cell_type": "heading",
+     "level": 3,
+     "metadata": {},
+     "source": [
+      "Introduction"
+     ]
+    },
     {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
-      "CCRMA Workshop on Music Information Retrieval\n",
-      "=============================================\n",
-      "\n",
-      "Table of Contents\n",
-      "-----------------\n",
-      "\n",
-      "### Introduction\n",
-      "\n",
       "-   [About This Workshop](notebooks/about_this_workshop.ipynb)\n",
-      "\n",
       "-   [Getting Good at IPython](notebooks/get_good_at_ipython.ipynb)\n",
-      "\n",
       "-   [Using Audio in IPython](notebooks/ipython_audio.ipynb)\n",
-      "\n",
-      "### Day 1\n",
-      "\n",
+      "-   [Python Basics](notebooks/python_basics.ipynb)\n",
+      "-   [NumPy, SciPy, Matplotlib Basics](notebooks/numpy_basics.ipynb)"
+     ]
+    },
+    {
+     "cell_type": "heading",
+     "level": 3,
+     "metadata": {},
+     "source": [
+      "Day 1"
+     ]
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
       "1.  [Onset Detection](notebooks/)\n",
-      "\n",
-      "1.  [Basic Segmentation and Feature Extraction](notebooks/)\n",
-      "\n",
-      "1.  [Example: Zero-Crossing Rate](notebooks/zcr.ipynb)\n",
-      "\n",
+      "1.  [Segmentation](notebooks/segmentation.ipynb)\n",
+      "1.  [Feature Extraction](notebooks/feature_extraction.ipynb)\n",
       "1.  [Spectral Features](notebooks/spectral_features.ipynb)\n",
-      "\n",
-      "1.  [K-Nearest Neighbor](notebooks/knn.ipynb)\n",
-      "\n",
-      "### Day 2\n",
-      "\n",
+      "1.  [K-Nearest Neighbor](notebooks/knn.ipynb)"
+     ]
+    },
+    {
+     "cell_type": "heading",
+     "level": 3,
+     "metadata": {},
+     "source": [
+      "Other Topics"
+     ]
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
       "1.  [Segmentation](notebooks/)\n",
       "\n",
       "1.  [Mel-Frequency Ceptral Coefficients](notebooks/mfcc.ipynb)\n",
       "\n",
-      "1.  [Cross Validation](notebooks/cross_validation.ipynb)\n",
-      "\n",
-      "### Day 3\n",
-      "\n",
+      "1.  [Cross Validation](notebooks/cross_validation.ipynb)"
+     ]
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
       "1.  [Unsupervised Classification]()\n",
       "\n",
-      "### Day 4\n",
-      "\n",
       "1.  [Nonnegative Matrix Factorization](notebooks/nmf.ipynb)\n",
       "\n",
-      "1.  [Source Separation]()\n",
-      "\n",
-      "### Day 5\n"
+      "1.  [Source Separation]()\n"
      ]
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [],
-     "language": "python",
-     "metadata": {},
-     "outputs": []
     }
    ],
    "metadata": {}

notebooks/about_this_workshop.ipynb

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@@ -34,6 +34,39 @@
       "- 2014: Jay LeBoeuf, Leigh Smith, Steve Tjoa\n"
      ]
     },
+    {
+     "cell_type": "heading",
+     "level": 2,
+     "metadata": {},
+     "source": [
+      "Guest Lecturers"
+     ]
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
+      "- 2011: Rebecca Fiebrink, Doug Eck, George Tzanetakis\n",
+      "- 2012: Oscar Celma, Michael Mandel\n",
+      "- 2013: Ching-Wei Chen, Nick Bryan, Gautham Mysore\n",
+      "- 2014: Stephen Pope, Andreas Ehmann"
+     ]
+    },
+    {
+     "cell_type": "heading",
+     "level": 2,
+     "metadata": {},
+     "source": [
+      "Alumni"
+     ]
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
+      "- 2011: Chris Colatos, Jeff Albert, Kamlesh Lakshminarayanan, Sean Zhang, Eli Stine, David Bird, Gina Collecchia, Dekun Zou, Bill Paseman, John Amuedo"
+     ]
+    },
     {
      "cell_type": "markdown",
      "metadata": {},

notebooks/spectral_features.ipynb

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+      "Spectral Features"
+     ]
+    },
     {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
-      "Spectral Features\n",
-      "-----------------\n",
-      "\n",
       "For classification, we're going to be using the new features in our arsenal: cherishing those \"spectral moments\" (centroid, bandwidth, skewness, kurtosis) and also examining other spectral statistics."
      ]
     },
+    {
+     "cell_type": "heading",
+     "level": 2,
+     "metadata": {},
+     "source": [
+      "Training Data"
+     ]
+    },
     {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
-      "### Training Data\n",
-      "\n",
-      "First off, we want to analyze and feature extract a small collection of audio samples - storing their feature data as our \"training data\".  The commands below read all of the drum example .wav files from the MIR web site into an array, snareFileList.  \n",
+      "First, we want to analyze and feature extract a small collection of audio samples - storing their feature data as our \"training data\".  The commands below read all of the drum example .wav files from the MIR web site into an array, snareFileList.  \n",
       "\n",
-      "First we define a function to retrieve a list of URLs from a text file."
+      "Let's define a function to retrieve a list of URLs from a text file."
      ]
     },
     {