Asr-language-processing-research-rnng-mn

People

Yang Feng, Shiyue Zhang, Andi Zhang

Time Table

Date	Work Plan	Work Done	Completion Rate
2016/10/31	implement rnng+static memory discriminative model fix the unexpected action rerun the original discriminative model rerun the centred memory rnng model get wrong instances of original trained model, and get statistics run the wrong memory rnng model run the sampled memory rnng model update experiment report	implementation is done, but result is not satisfied. fixed the unexpected action reran the original discriminative model reran the centred memory rnng model got wrong instances of original trained model, and get statistics ran the sampled memory rnng model ran the wrong memory rnng model updated experiment report [1]	100%
2016/11/7	modify discriminative model, try to prove the positive function of static memory change train set add parameter before cos modify model structure read the code of Teacher Feng understand and run how to use GPU in rnng learn to use it	modify discriminative model, try to prove the positive function of static memory changed train set added parameter before cos modified model structure read the code of Teacher Feng understood but did't run how to use GPU in rnng the result is rnng cannot run fast on GPU update the report report	90%
2016/11/14	try to run rnng on multi cpu cores refine the models tried before and give the result report finish the code of dynamic memory model
2016/11/21	modify model try to prove the positive function of dynamic memory
2016/11/28	modify model try to prove the positive function of dynamic memory
2016/12/5	get the first final rnng+mm discriminative model
2016/12/12	give a plan to transfer to generative model
2016/12/19	implement rnng+mm generative model
2016/12/26	modify model try to prove the positive function of memory