pytorch-kaldi
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mravanelli
pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are...
Hello! Here in this image you have the procedure to follow when using fmllr features. But if I want to use FBANK for example do I follow also this steps...
I'm getting this error. I checked the for path errors like [this](https://github.com/mravanelli/pytorch-kaldi/issues/185#issuecomment-559138107) . But getting this error. Please help. My CFG: `[cfg_proto] cfg_proto = proto/global.proto cfg_proto_chunk = proto/global_chunk.proto [exp] cmd...
I use my dataset and in training i am getting test error 100%,how can I fix this problem? res.res is shown as following : epoch 0, loss_tr=8.295877 err_tr=0.996953 loss_te=12.132339 err_te=1.000000...
Hi, I know we have new framework SpeechBrain now (which is very fantastic), but I still have old model trained with pytorch-kaldi. I would like to use it in Pytorch...
Hi, my computer's power was down and the experiment was interrupted at epoch 13. Can we resume the training from where it was interrupted? Thank you.
I'm running the TIMIT LSTM on custom features, and was able to successfully train a model. Now I'm testing the model using a custom test set, but I'm experiencing an...
Hi, nice work! May I ask where can I find the x-vector DNN structure in your project? Didn't find it in the neural_networks.py file.
Hi! There still some problems when running `run_exp.py` with `cfg/TIMIT_baslines/TIMIT_liGRU_fmllr.cfg`. I delete the `mfcc `and `fbank `fea_lst section and only change the path of `fmllr `feats.scp, as well as specify...
I'd like to train a model on reverberant speech using the alignments generated from the corresponding anechoic data. Currently, I'm doing something similar to TIMIT_joint_training_liGRU_fbank.cfg, where I am using the...
Does pytorch-kaldi support chain model training?
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pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are...