remove fillers model from the framework to focus on keyword recognition
rename mirlMain.m to main.m
According to Cesar from www.crsouza.com, nonpos def matrices are caused by too-high dim variables. Variable dim reduction might be helpful
play around with the system: reduce the dim of observation variables does help indeed. Adding noise increase accuracy in distiguishing between words in the training dataset
back up trainKWR with simple dataset before moving on to TIMIT