open the filesdata/train/wav.scp,data/dev/wav.scp,data/test/wav.scpand delete the part aboutSPHEREreading (e.g.,/home/mirco/kaldi-trunk/tools/sph2pipe_v2.5/sph2pipe -f wav). You also have to change the paths from the standard TIMIT to the reverberated one (e.g. replace /TIMIT/...
Remember to change the KALDI_ROOT variable using your path. As a first test to check the installation, open a bash shell, type "copy-feats" or "hmm-info" and make sure no errors appear. If not already done, install PyTorch (http://pytorch.org/). We tested our codes on PyTorch 1.0 ...
Themes 12, x FOR PEER REVIEW Sample codes Sample definitions Educ. ScUgil.no2db0ae2lr2lsy,ta1n2,dxinFgOcRonPdEiEtiRonRsEVIEWDtcoheatmhlleoennhgsutemrsa.atinngasepmecptasthoyf ginlorbeaglard Sample quotes "I think all the statistics I learned on how many people are struggling related to ...
Quite often we leveraged script commands to transfer data from our local machines by zipping also to the server using the server copy (scp) command: scp<local_file_path>telugu_nlp@10.0.62.212:<file_path_on_server> MinHashLSH Algorithm Source:https://leons.im/posts/a-python-implementation-of...
Set “fea_lst” with the path of your mfcc training list (that should be in $KALDI_ROOT/egs/timit/s5/data/train/feats.scp) Add your path (e.g., $KALDI_ROOT/egs/timit/s5/data/train/utt2spk) into “--utt2spk=ark:” Add your CMVN transformation e.g.,$KALDI_ROOT/egs/timit/s5/...
[dataset1] data_name = TIMIT_tr fea = fea_name=mfcc fea_lst=quick_test/data/train/feats_mfcc.scp fea_opts=apply-cmvn --utt2spk=ark:quick_test/data/train/utt2spk ark:quick_test/mfcc/train_cmvn_speaker.ark ark:- ark:- | add-deltas --delta-order=2 ark:- ark:- | cw_left=5 ...