Merge pull request #36 from sudara/gh-pages

Fix librosa issues in Genre Recognition notebook

genre_recognition.ipynb

@@ -10,7 +10,11 @@
    "source": [
     "%matplotlib inline\n",
     "import seaborn\n",
-    "import numpy, scipy, matplotlib.pyplot as plt, sklearn, pandas, librosa, urllib, IPython.display, os.path\n",
+    "import numpy, scipy\n",
+    "import matplotlib.pyplot as plt\n",
+    "import sklearn, pandas\n",
+    "import librosa, librosa.display\n",
+    "import urllib, IPython.display, os.path\n",
     "plt.rcParams['figure.figsize'] = (14, 5)"
    ]
   },
@@ -159,7 +163,7 @@
    "outputs": [],
    "source": [
     "# See http://musicinformationretrieval.com/stft.html for more details on displaying spectrograms.\n",
-    "S_brahms = librosa.feature.melspectrogram(x_brahms, fs_brahms)"
+    "S_brahms = librosa.feature.melspectrogram(x_brahms, sr=fs_brahms)"
    ]
   },
   {
@@ -202,7 +206,7 @@
     }
    ],
    "source": [
-    "librosa.display.specshow(S_log_brahms, fs_brahms, x_axis='time', y_axis='mel')"
+    "librosa.display.specshow(S_log_brahms, sr=fs_brahms, x_axis='time', y_axis='mel')"
    ]
   },
   {
@@ -467,7 +471,7 @@
    "outputs": [],
    "source": [
     "# See http://musicinformationretrieval.com/stft.html for more details on displaying spectrograms.\n",
-    "S_busta = librosa.feature.melspectrogram(x_busta, fs_busta)"
+    "S_busta = librosa.feature.melspectrogram(x_busta, sr=fs_busta)"
    ]
   },
   {
@@ -510,7 +514,7 @@
     }
    ],
    "source": [
-    "librosa.display.specshow(S_log_busta, fs_busta, x_axis='time', y_axis='mel')"
+    "librosa.display.specshow(S_log_busta, sr=fs_busta, x_axis='time', y_axis='mel')"
    ]
   },
   {