data parser doesn't work #4
Description
the example from README.md python -m extras.make_dataset --parser brsp \ --input_parser mfcc --label_parser simple_char_parser returns the following error:
File "/home/zparcheta/anaconda2/lib/python2.7/runpy.py", line 174, in _run_module_as_main
"main", fname, loader, pkg_name)
File "/home/zparcheta/anaconda2/lib/python2.7/runpy.py", line 72, in _run_code
exec code in run_globals
File "/data/forked/asr-study/extras/make_dataset.py", line 32, in
regex=True)
File "utils/generic_utils.py", line 62, in get_from_module
(name, module, ', '.join(members.keys())))
KeyError: 'brsp not found in datasets*.\n Valid values are: dummy, sid, brsd, voxforge, lapsbm, cslu, datasetparser'
If I change brsp for brsd (which is the available parser in dataset folder) then
datasets.dataset_parser.BRSD: WARNING File /data/forked/asr-study/data/lapsbm/LapsBM-F019/LapsBM_0378.wav has a forbidden label: "acertou o alvo em quarenta e três por cento das suas chances". Skipping
Traceback (most recent call last):
File "/home/zparcheta/anaconda2/lib/python2.7/runpy.py", line 174, in _run_module_as_main
"main", fname, loader, pkg_name)
File "/home/zparcheta/anaconda2/lib/python2.7/runpy.py", line 72, in _run_code
exec code in run_globals
File "/data/forked/asr-study/extras/make_dataset.py", line 46, in
override=args.override)
File "datasets/dataset_parser.py", line 128, in to_h5
group = f.create_group(dataset)
File "/home/zparcheta/anaconda2/lib/python2.7/site-packages/h5py/_hl/group.py", line 52, in create_group
gid = h5g.create(self.id, name, lcpl=lcpl)
File "h5py/_objects.pyx", line 54, in h5py._objects.with_phil.wrapper (/home/ilan/minonda/conda-bld/h5py_1490028130695/work/h5py/_objects.c:2846)
File "h5py/_objects.pyx", line 55, in h5py._objects.with_phil.wrapper (/home/ilan/minonda/conda-bld/h5py_1490028130695/work/h5py/_objects.c:2804)
File "h5py/h5g.pyx", line 151, in h5py.h5g.create (/home/ilan/minonda/conda-bld/h5py_1490028130695/work/h5py/h5g.c:2929)
ValueError: Unable to create group (Name already exists)
The warning appears for each line of text and is skipping it.
How can I prepare data to training? I have already downloaded the data in data folder.