While most of the work in this direction has been devoted to learning the acoustic model directly from sequences of phonemes or characters without intermediate alignment step or phone-state/senome induction, the other end of the pipeline model -namely, learning directly from the waveform rather than from speech features such as mel-filterbanks or MFCC -has recently received attention [1, 2, 3, 4, 5, 6, 7,<cite> 8]</cite> , but the performances on the master task of speech recognition still seem to be lagging behind those of models trained on speech features [9, 10] .