first generations

.gitignore

@@ -52,6 +52,38 @@ flycheck_*.el
 /network-security.data
 
 
+### Git ###
+# Created by git for backups. To disable backups in Git:
+# $ git config --global mergetool.keepBackup false
+*.orig
+
+# Created by git when using merge tools for conflicts
+*.BACKUP.*
+*.BASE.*
+*.LOCAL.*
+*.REMOTE.*
+*_BACKUP_*.txt
+*_BASE_*.txt
+*_LOCAL_*.txt
+*_REMOTE_*.txt
+
+# machine-specific gitignore file
+.gitignore
+
+### JupyterNotebooks ###
+# gitignore template for Jupyter Notebooks
+# website: http://jupyter.org/
+
+.ipynb_checkpoints
+*/.ipynb_checkpoints/*
+
+# IPython
+profile_default/
+ipython_config.py
+
+# Remove previous ipynb_checkpoints
+#   git rm -r .ipynb_checkpoints/
+
 ### Linux ###
 
 # temporary files which can be created if a process still has a handle open of a deleted file
@@ -189,7 +221,4 @@ env.bak/
 venv.bak/
 pip-selfcheck.json
 
-# End of https://www.gitignore.io/api/linux,python,virtualenv,emacs
-
-# Project-specific
-results
\ No newline at end of file
+# End of https://www.gitignore.io/api/linux,python,virtualenv,emacs
\ No newline at end of file

data/requirements.txt → requirements.txt

 bs4
 torch
 torchaudio
+librosa

results/spectrogram_to_sound.ipynb

+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {
+    "autoscroll": false,
+    "collapsed": false,
+    "ein.hycell": false,
+    "ein.tags": "worksheet-0",
+    "slideshow": {
+     "slide_type": "-"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "import librosa\n",
+    "import numpy as np"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {
+    "autoscroll": false,
+    "collapsed": false,
+    "ein.hycell": false,
+    "ein.tags": "worksheet-0",
+    "slideshow": {
+     "slide_type": "-"
+    }
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "(128, 2400)\n"
+     ]
+    }
+   ],
+   "source": [
+    "spectrogram = np.load('test3.npy')[0]\n",
+    "print(spectrogram.shape)\n",
+    "audio = librosa.feature.inverse.mel_to_audio(spectrogram, sr = 16000, n_fft = 400, hop_length = 200, win_length = 400)\n",
+    "librosa.output.write_wav('test3.wav', audio, 16000)"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "argv": [
+    "/usr/bin/python3",
+    "-m",
+    "ipykernel_launcher",
+    "-f",
+    "{connection_file}"
+   ],
+   "display_name": "Python 3",
+   "env": null,
+   "interrupt_mode": "signal",
+   "language": "python",
+   "metadata": null,
+   "name": "python3"
+  },
+  "name": "spectrogram_to_sound.ipynb"
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
+%% Cell type:code id: tags:
+
+``` python
+import librosa
+import numpy as np
+```
+
+%% Cell type:code id: tags:
+
+``` python
+spectrogram = np.load('test3.npy')[0]
+print(spectrogram.shape)
+audio = librosa.feature.inverse.mel_to_audio(spectrogram, sr = 16000, n_fft = 400, hop_length = 200, win_length = 400)
+librosa.output.write_wav('test3.wav', audio, 16000)
+```
+
+%%%% Output: stream
+
+    (128, 2400)