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From: Zibo M. <mzb...@gm...> - 2014-07-11 15:24:54
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Hi, I got another problem. When I tried make_mfcc.sh to create the feats.scp files it did not work. I checked the log file where it said some thing like: compute-mfcc-feats --verbose=2 --config=conf/mfcc.conf scp,p:exp/make_mfcc/train/wav_data.1.scp ark:- ERROR (compute-mfcc-feats:Read():wave-reader.cc:144) WaveData: can read only PCM data, audio_format is not 1: 65534 WARNING (compute-mfcc-feats:Read():feat/wave-reader.h:148) Exception caught in WaveHolder object (reading). WARNING (compute-mfcc-feats:LoadCurrent():util/kaldi-table-inl.h:232) TableReader: failed to load object from 'test.wav' Then I checked the attributes of my test.wav file which were as follows: Input File : 'test.wav' Channels : 1 Sample Rate : 48000 Precision : 24-bit Duration : 00:03:30.09 = 10084224 samples ~ 15756.6 CDDA sectors File Size : 30.3M Bit Rate : 1.15M Sample Encoding: 24-bit Signed Integer PCM Can you tell me what should I modify to my audio files. Thank you so much! Best, Zibo On Thu, Jul 10, 2014 at 3:37 PM, Zibo Meng <mzb...@gm...> wrote: > Hi, > > I am preparing the data for dnn training using my own data set. I followed > the instruction on http://kaldi.sourceforge.net/data_prep.html. > > I created the file "text" as the first 3 lines: > S002-U-000300-000470 OH > S002-U-000470-000630 I'D > S002-U-000630-000870 LIKE > > the wav.scp file: > S002-U <path to the corresponding wav file> > S002-O <path to the corresponding wav file> > S003-U <path to the corresponding wav file> > > and the utt2spk file: > S002-U-000300-000470 002-U > S002-U-000470-000630 002-U > S002-U-000630-000870 002-U > > Then I used utt2spk_to_spk2utt.pl to create the spk2utt file. Everything > went well until I tried to use the mak_mfcc.sh to create the feats.scp file > where I got the error message like: > > utils/validate_data_dir.sh: file data/utt2spk is not in sorted order or > has duplicates > > seems like my utt2spk file could not pass through the validation. > > Can any body help me out of here? Thank you so much. > > Best, > > Zibo > |