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__init__.py

@@ -1 +1,2 @@
+#!/usr/bin/env python
 # allow local includes

bdlstm_utils.py

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+#!/usr/bin/env python
 import numpy as np
 import tensorflow as tf
 

densenet_layer.py

@@ -1,4 +1,5 @@
 #!/usr/bin/env python
+#!/usr/bin/env python
 #!/usr/bin/python
 import tensorflow as tf
 

generate_speech_data.py

@@ -1,3 +1,4 @@
+#!/usr/bin/env python
 import os
 
 import librosa #mfcc 1.st lib

lstm-tflearn.py

@@ -1,4 +1,5 @@
 #!/usr/bin/env python
+#!/usr/bin/env python
 import tensorflow as tf
 import tflearn
 

lstm_ctc_to_chars.py

@@ -1,3 +1,4 @@
+#!/usr/bin/env python
 #!/usr/local/bin/python
 from __future__ import print_function
 import numpy as np

lstm_mfcc_ctc_to_words.py

@@ -1,3 +1,4 @@
+#!/usr/bin/env python
 #!/usr/local/bin/python
 from __future__ import print_function
 import numpy as np

lstm_mfcc_to_chars.py

@@ -1,3 +1,4 @@
+#!/usr/bin/env python
 #!/usr/local/bin/python
 from __future__ import print_function
 import numpy as np

lstm_to_chars.py

@@ -1,4 +1,5 @@
 #!/usr/bin/env python
+#!/usr/bin/env python
 '''
 Example of a single-layer bidirectional long short-term memory network trained with
 connectionist temporal classification to predict character sequences from nFeatures x nFrames

mfcc_feature_classifier.py

@@ -1,4 +1,5 @@
 #!/usr/bin/env python
+#!/usr/bin/env python
 #!/usr/bin/python
 import numpy as np
 import tensorflow as tf

number_classifier_tflearn.py

@@ -1,3 +1,4 @@
+#!/usr/bin/env python
 #!/usr/bin/env PYTHONIOENCODING="utf-8" python
 import tflearn
 import pyaudio

number_gan_layer.py

@@ -1,3 +1,4 @@
+#!/usr/bin/env python
 #!/usr/bin/python
 import speech_data
 import layer

number_gan_tflearn.py

@@ -1,3 +1,4 @@
+#!/usr/bin/env python
 import tflearn
 import pyaudio
 import speech_data

record.py

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 #!/usr/bin/env python
+#!/usr/bin/env python
 import subprocess
 import skimage.io
 import traceback

speaker_classifier_tflearn.py

@@ -1,3 +1,4 @@
+#!/usr/bin/env python
 #!/usr/local/bin/python
 #!/usr/bin/env PYTHONIOENCODING="utf-8" python
 import os

spectro_gan.py

@@ -1,3 +1,4 @@
+#!/usr/bin/env python
 #!/usr/local/bin/python
 import numpy as np
 import tensorflow as tf

speech2text-seq2seq.py

@@ -1,3 +1,4 @@
+#!/usr/bin/env python
 #!/usr/local/bin/python
 
 

speech2text-tflearn.py

@@ -1,3 +1,4 @@
+#!/usr/bin/env python
 #!/usr/local/bin/python
 # -*- coding: utf-8 -*-
 from __future__ import division, print_function, absolute_import

speech_data.py

@@ -1,3 +1,4 @@
+#!/usr/bin/env python
 #!/usr/local/bin/python
 """Utilities for downloading and providing data from openslr.org, libriSpeech, Pannous, Gutenberg, WMT, tokenizing, vocabularies."""
 # TODO! see https://github.com/pannous/caffe-speech-recognition for some data sources

speech_encoder.py

@@ -1,3 +1,4 @@
+#!/usr/bin/env python
 """A simple speech classifer AND autoencoder
 
 1st step : classify+encode the spectogram of 10 spoken digits into one-hot-vector + 'flavor'-vector of size 10

wave_GANerate.py

@@ -1,3 +1,4 @@
+#!/usr/bin/env python
 #!/usr/bin/python 
 # PYTHONUNBUFFERED=1
 """A simple GAN network and classifer.