minor updates

webbook/melodic_analysis/tonic-identification.ipynb

@@ -177,7 +177,11 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "tags": [
+     "remove-output"
+    ]
+   },
    "outputs": [],
    "source": [
     "# Loading Tonic dataset using the mirdata loader\n",

webbook/resources/exploring-performance.ipynb

@@ -560,7 +560,7 @@
    "outputs": [],
    "source": [
     "# Predict raga using subset of features from the very beginning of audio for faster prediction\n",
-    "predicted_raga = deepsrgm.predict(feat[:8])"
+    "predicted_raga = deepsrgm.predict(feat[:4])"
    ]
   },
   {
@@ -592,7 +592,7 @@
     "freqs = ftanet_carnatic.predict(audio_mix)[:, 1]\n",
     "tonic = tonic_multipitch.extract(audio_mix)\n",
     "\n",
-    "k = 9\n",
+    "k = 4\n",
     "N = 200\n",
     "new_feat = []\n",
     "\n",
@@ -605,7 +605,7 @@
     "    new_feat.append(feature[c : c + 5000])\n",
     "new_feat = np.array(new_feat)\n",
     "\n",
-    "raga = deepsrgm.predict(new_feat[:8])  # Let's again only take alap frames"
+    "raga = deepsrgm.predict(new_feat[:4])  # Let's again only take alap frames"
    ]
   },
   {

webbook/rhythmic_analysis/meter_analysis.ipynb

@@ -26,7 +26,8 @@
     "    ## Bear in mind this will only run in a jupyter notebook / Collab session\n",
     "    %pip install git+git://github.com/MTG/compIAM.git\n",
     "# installing mirdata from master branch, including fix for Carnatic Rhythm dataset\n",
-    "%pip install -U https://github.com/mir-dataset-loaders/mirdata.git  \n",
+    "%pip uninstall mirdata\n",
+    "%pip install https://github.com/mir-dataset-loaders/mirdata.git@master\n",
     "import compiam\n",
     "\n",
     "# Import extras and supress warnings to keep the tutorial clean\n",