• The training could be started simply by running train.sh

• SS.pdf is the essay for this assignments.
  Other pdf files are the referenced literature in this research.
• data_process.py is used to preprocess the data used in the CNN.
  data_process_for_open_test.py is used for preprocess data out of the dataset.
  dataCount.py is used to count the time and frames of the dataset.
• list_produce.py / tvlist_produce.py / tvtlist_produce.py are used to produce lists / train-val lists / train-val-test lists for the CNN.
• spv(= Speaker Verification)_cnn.py is used to formulate the network under keras, in which 3 models are included.
• spv_cnn_trainv0.py / spv_cnn_trainv1.py / spv_cnn_trainvf.py train the 3 models respectively.
• spv_cnn_test.py is used to test one clip of processed data.
  spv_cnn_batch_test.py tests the data in test list.
  spv_cnn_open_batch_test tests a batch of processed data from out of the dataset.

FINISHED on June 25th, 2017