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Specified dimension not compatible with data

See original GitHub issue

Hi, 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/", line 970, in <module>
  File "../dnn/dnn_tts/", 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/", 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/", 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/", 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-


mgc    : 60
dmgc   : 180
bap    : 5  
dbap   : 15
lf0    : 1  
dlf0   : 3  

train_file_number: 30
valid_file_number: 10
test_file_number : 10
buffer_size: 200000

NORMLAB  : False
DNNGEN   : False
GENWAV   : False
CALMCD   : False

Issue Analytics

  • State:closed
  • Created 7 years ago
  • Comments:15 (9 by maintainers)

github_iconTop GitHub Comments

ronankicommented, Sep 29, 2016

If you specify the order 5, while extracting the coefficients with the given scripts, you will end up with extracting 6 (5+1) coefficients. So, either use 6 in configuration file or change the order to 4 while extraction.

gillesdegottexcommented, Sep 26, 2016

Did you clear the data folder before ? There are nasty codes that skip the computation of files if the file already exists …

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