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License: Other
This is not the official kaldi repository. It is better to fork https://github.com/kaldi-asr/kaldi or https://github.com/vimalmanohar/kaldi instead.
License: Other
How to download the dataset LDC2013S08?
Hello!!
I am testing with rnnlm-hs, and encountered a segmentation fault.
Here's the error message, which I get from using gdb.
Alpha: 0.100000 ME-alpha: 0.100000 Progress: 99.94% Words/thread/sec: 2.58k
Program received signal SIGSEGV, Segmentation fault.
[Switching to Thread 0x7fffa5ffb700 (LWP 17818)]
TrainModelThread (id=) at rnnlm.c:495
495 l2 = vocab[word].point[d] * layer1_size;
My data is maybe somewhat large, (It was successfully done when I used smaller sized data)
Vocab size: 52722
Words in train file: 285559160
And here's my setting for the test.
./rnnlm -train data/train -valid data/valid -hidden 300 -bptt 6 -threads 20 -alpha 0.1 -maxent-order 5 -maxent-size 1000 -rnnlm ./model.rnnlm -debug 2
The following is the constant settings in the code (rnnlm.c)
define MAX_STRING 1024
define MAX_SENTENCE_LENGTH 10000
define MAX_CODE_LENGTH 40
How could I avoid or debug this error?
Please help if anybody could.
Thank you very much.
I am trying to adopt your diarization recipe from asr-diarization branch
kaldi-git/egs/aspire/s5/local/run_diarization.sh
Just curious is there some specific reason PLDA and automatic number of speakers detection was not used?
The code says about speaker-diarization_v2 to be used with that, but not sure if there is a corresponding binary.
Should the "nnet-train-blstm-streams" be included as a train-tool in local/run_blstm.sh ? Because we face error with nnet-train-lstm-streams tool
In folder src:
./configure
**configure failed: Could not find file /include/fst/fst.h:
you may not have installed OpenFst. See ../tools/INSTALL **
To repeat this error :
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