Rename sad_tf/segmenter_for_tf2_16.py to sad_tf/segmenter.py

sad_tf/{segmenter_for_tf2_16.py → segmenter.py}

@@ -32,8 +32,7 @@ import math
 from iman import Audio
 import numpy as np
 from tensorflow import keras
-# from tensorflow.compat.v1.keras.backend import set_session
-import tensorflow.python.keras.backend as K
+
 from .thread_returning import ThreadReturning
 
 import shutil
@@ -366,8 +365,6 @@ class Segmenter:
         config = tf.compat.v1.ConfigProto()
         config.gpu_options.allow_growth = True 
         config.log_device_placement = True 
-        sess = tf.compat.v1.Session(config=config)
-        sess = K.get_session()   
 
         
         self.complete_output = complete_output
@@ -418,7 +415,7 @@ class Segmenter:
                 vadseg.append(('speech', start, stop))
             lseg.append((lab, start, stop))
         if (self.vad_type == 'vad'):
-           return [(lab, start_sec + start * .02, start_sec + stop * .02 , stop-start) for lab, start, stop in vadseg]
+           return [(lab, start_sec + start * .02, start_sec + stop * .02 , (stop-start) * .02) for lab, start, stop in vadseg]
         # perform voice activity detection
         lseg = self.vad(mspec, lseg, difflen)