Cleaned up the module and examples. Ready to be used!

Author: zafarrafii

examples.ipynb

@@ -32,7 +32,7 @@
     "- http://zafarrafii.com\n",
     "- https://github.com/zafarrafii\n",
     "- https://www.linkedin.com/in/zafarrafii/\n",
-    "- 01/19/21"
+    "- 01/20/21"
    ]
   },
   {
@@ -100,9 +100,9 @@
     "background_signal = repet.original(audio_signal, sampling_frequency)\n",
     "foreground_signal = audio_signal-background_signal\n",
     "\n",
-    "# Write the background and foreground signals\n",
-    "# repet.wavwrite(background_signal, sampling_frequency, \"background_signal.wav\")\n",
-    "# repet.wavwrite(foreground_signal, sampling_frequency, \"foreground_signal.wav\")\n",
+    "Write the background and foreground signals\n",
+    "repet.wavwrite(background_signal, sampling_frequency, \"background_signal.wav\")\n",
+    "repet.wavwrite(foreground_signal, sampling_frequency, \"foreground_signal.wav\")\n",
     "\n",
     "# Compute the mixture, background, and foreground spectrograms\n",
     "window_length = pow(2, int(np.ceil(np.log2(0.04*sampling_frequency))))\n",
@@ -164,7 +164,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [
     {
@@ -260,7 +260,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [
     {
@@ -356,7 +356,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [
     {
@@ -452,7 +452,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
@@ -492,9 +492,9 @@
     "background_signal = repet.simonline(audio_signal, sampling_frequency)\n",
     "foreground_signal = audio_signal-background_signal\n",
     "\n",
-    "# # Write the background and foreground signals\n",
-    "# repet.wavwrite(background_signal, sampling_frequency, \"background_signal.wav\")\n",
-    "# repet.wavwrite(foreground_signal, sampling_frequency, \"foreground_signal.wav\")\n",
+    "# Write the background and foreground signals\n",
+    "repet.wavwrite(background_signal, sampling_frequency, \"background_signal.wav\")\n",
+    "repet.wavwrite(foreground_signal, sampling_frequency, \"foreground_signal.wav\")\n",
     "\n",
     "# Compute the mixture, background, and foreground spectrograms\n",
     "window_length = pow(2, int(np.ceil(np.log2(0.04*sampling_frequency))))\n",

repet.py

@@ -30,7 +30,7 @@
     http://zafarrafii.com
     https://github.com/zafarrafii
     https://www.linkedin.com/in/zafarrafii/
-    01/19/21
+    01/20/21
 """
 
 import numpy as np
@@ -1548,4 +1548,4 @@ def _simmask(audio_spectrogram, similarity_indices):
         audio_spectrogram + np.finfo(float).eps
     )
 
-    return repeating_mask
+    return repeating_mask