galv

6 ms·

1. 1.▲
   by galv 10y ago

   This guide was written by a user who thought the learning curve was too high: http://kaldi-asr.org/doc/kaldi_for_dummies.html The reality is that you will have to study a lot to truly understand the toolkit though. Spe
2. 2.▲
   by galv 10y ago

   Every dataset has scripts to run reproducible baselines. Look at the RESULTS file for each dataset to see the results of various models. e.g., https://github.com/kaldi-asr/kaldi/blob/master/egs/tedli
3. 3.▲
   by galv 10y ago

   It is state of the art in speech recognition exactly because it uses neural networks. I helped develop its nnet3 neural network library and have published based on work I've done on it. No other open source toolkit is better than it ri