Moderate Cheers

We got the hang of the backpropagation formulas, with a little help of one of our professors, dr. W.A. Kosters, and were able to implement most of them. The one part we haven't implemented yet, updating of weights, we have a firm understanding of what we're supposed to put down.

Of course, our code is as yet mostly untested, and we won't be able to test it until the whole network is complete.

We've also selected a subset of 380 utterances from the TIMIT corpus and identified 341 of them which aren't corrupted after conversion.

Remaining tasks:

• Select files to use from TIMIT
  
• Convert WAV files
  
• Matlab code for extracting features from WAV files
• Matlab code for writing features into feature files
• C++ code for reading feature files
• C++ code for reading TIMIT annotation files
  
• C++ code object skeleton for BLSTM
• C++ code for forward propagation
• C++ code for back propagation
  
• C++ code for BLSTM trainer
• C++ code for BLSTM tester
• C++ code for serializing BLSTM
• Training the network on selected files
• Testing the network on selected files
• Write report