Input features for MarbleNet-VAD
I am performing VAD using examples/asr/vad_infer.py . I see that, from the code,  MarbleNet directly operates on raw audio data using convolution filters.  There is no separate feature extraction from the audio. 

But , when I see the published MarbleNet paper from Nvidia, looks like first MFCC is extracted from audio and then model operates on those MFCCs. 

Am I correct with this observation ?