Training with multiple features

[abnerLing]

I've used some pretrained models (MLP, LiGRU) using my own data and results are fine when just using fmllr features, but when I try using multiple features (fbank,mfcc,fmllr) results worsen. Does anyone have an idea why single features would outperform multiple features?