Title: Noise Reduction Using GRU(RNN).
This is my graduation project in BIT, 2018.
Based on Python3.5 and TensorFlow.
This project learning from adityatb, https://github.com/adityatb/noise-reduction-using-rnn. adityatb uses LSTM to build noise reduction model.
With the development of RNN, GRU may be a better method to do.
This graduation project will use the database builded by myself and try to use GRU to build noise reduction model.