vimalmanohar / old-kaldi-git Goto Github PK
View Code? Open in Web Editor NEWThis 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
old-kaldi-git's Introduction
*README* To build the toolkit: see ./INSTALL. These instructions are valid for UNIX systems including various flavors of Linux; Darwin; and Cygwin (has not been tested on more "exotic" varieties of UNIX). For Windows installation instructions (excluding Cygwin), see windows/INSTALL. To run the example system builds, see egs/README.txt If you encounter problems (and you probably will), please do not hesitate to contact the developers at https://groups.google.com/forum/#!forum/kaldi-help. In addition to specific questions, please let us know if there are specific aspects of the project that you feel could be improved, that you find confusing, etc., and which missing features you most wish it had. ** Kaldi information channels ** For HOT news about Kaldi see: http://kaldi-asr.org/ Documentation of Kaldi: http://kaldi-asr.org/doc/ - info about the project, description of techniques, tutorial for C++ coding - Doxygen reference of the C++ code Kaldi forum, mailing-lists: http://kaldi-asr.org/forums.html - User list : https://groups.google.com/forum/#!forum/kaldi-help ([email protected]). - Developer list : https://groups.google.com/forum/#!forum/kaldi-developers ([email protected]) - also try luck and search in SourceForge archives: https://sourceforge.net/p/kaldi/discussion/ Development pattern for contributors: A) create a personal fork of the kaldi-asr/kaldi repository in github, B) make your changes in a named branch different from "master", e.g. you create a branch "my-awesome-feature". C) generate a pull request through the web interface of github D) as a general rule, please follow Google C++ Style Guide. There are a few exceptions in Kaldi -- please consult http://kaldi-asr.org/doc/style.html You can use the Google's cpplint.py to verify that your code is free of some basic mistakes.
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janchorowski stevenlol pineking ufal-dsg hiyassat boxero meysam9323 jieluosc pbrakel weiwchu dr-dos-ok mfueller oplatek colingogo dmitriy-serdyuk zuiwufenghua fedorajzf rhiannonball cccse4 navneeth1990 tomkocse venkatarajasekhar aditay yh1008 aitorbajo shivakumar1393 shairoz light1726 ryuwondongold-kaldi-git's Issues
is there a version with easy installation of tools?
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 :
- clone this project
- go to folder tools and make
- go to folder and ./configure
nnet train tool for BLSTM
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
diarization with PLDA
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.
segmentation fault in rnnlm-hs
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.
How to download the dataset?
How to download the dataset LDC2013S08?
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