changed filenmame

results/spectrogram_to_sound.ipynb

@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 4,
    "metadata": {
     "autoscroll": false,
     "collapsed": false,
@@ -20,7 +20,24 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 5,
+   "metadata": {
+    "autoscroll": false,
+    "collapsed": false,
+    "ein.hycell": false,
+    "ein.tags": "worksheet-0",
+    "slideshow": {
+     "slide_type": "-"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "name = 'gen'"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
    "metadata": {
     "autoscroll": false,
     "collapsed": false,
@@ -35,15 +52,15 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "(128, 2400)\n"
+      "(128, 2401)\n"
      ]
     }
    ],
    "source": [
-    "spectrogram = np.load('test3.npy')[0]\n",
+    "spectrogram = np.load('spectrograms/' + name + '.npy')\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)"
+    "librosa.output.write_wav('sounds/' + name + '.wav', audio, 16000)"
    ]
   }
  ],
 %% Cell type:code id: tags:
 
 ``` python
 import librosa
 import numpy as np
 ```
 
 %% Cell type:code id: tags:
 
 ``` python
-spectrogram = np.load('test3.npy')[0]
+name = 'gen'
+```
+
+%% Cell type:code id: tags:
+
+``` python
+spectrogram = np.load('spectrograms/' + name + '.npy')
 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)
+librosa.output.write_wav('sounds/' + name + '.wav', audio, 16000)
 ```
 
 %%%% Output: stream
 
-    (128, 2400)
+    (128, 2401)