Specified dimension not compatible with data
See original GitHub issueHi, I am implementing a base-model for DNN based TTS system using merlin frontend. Currently I’m using 50 wav files from arctic database and I have 280 binary features. However, I’m unable to proceed with output feature composition with the following error-
2016-09-17 13:32:25,526 INFO acoustic_comp: processing file 1 of 50 : /home/neo/work/speech_iiitd/dnn_test2/data/nn_mgc_lf0_vuv_bap_199/arctic_a0001.cmp
Traceback (most recent call last):
File "../dnn/dnn_tts/run_dnn.py", line 970, in <module>
main_function(cfg)
File "../dnn/dnn_tts/run_dnn.py", line 635, in main_function
acoustic_worker.prepare_nn_data(in_file_list_dict, nn_cmp_file_list, cfg.in_dimension_dict, cfg.out_dimension_dict)
File "/home/neo/work/speech_iiitd/dnn/dnn_tts/frontend/acoustic_base.py", line 122, in prepare_nn_data
self.prepare_data(in_file_list_dict, out_file_list, in_dimension_dict, out_dimension_dict)
File "/home/neo/work/speech_iiitd/dnn/dnn_tts/frontend/acoustic_composition.py", line 126, in prepare_data
features, frame_number = io_funcs.load_binary_file_frame(in_file_name, in_feature_dim)
File "/home/neo/work/speech_iiitd/dnn/dnn_tts/io_funcs/binary_io.py", line 67, in load_binary_file_frame
assert features.size % float(dimension) == 0.0,'specified dimension %s not compatible with data'%(dimension)
AssertionError: specified dimension 5 not compatible with data
I’m new to dnn based speech synthesis. Kindly give some suggestions. Also, why do we normalize the features with [0,1]. Thanks.
My conf file-
[Labels]
question_file_name:path/to/data/resources/questions_dnn_unilex-rpx_quinphone.hed
[Outputs]
mgc : 60
dmgc : 180
bap : 5
dbap : 15
lf0 : 1
dlf0 : 3
[Data]
train_file_number: 30
valid_file_number: 10
test_file_number : 10
buffer_size: 200000
[Processes]
NORMLAB : False
MAKECMP : True
NORMCMP : True
TRAINDNN : False
DNNGEN : False
GENWAV : False
CALMCD : False
Issue Analytics
- State:
- Created 7 years ago
- Comments:15 (9 by maintainers)
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