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Rewriting KWS document to make it easier to understand; also adding a brief walk through of Babel scripts.

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trunk: fix to tools/extras/check_dependencies.sh to exit with error if dependencies not met on non-(Debian/RedHat) systems.  Add more verbose output to raw-fmllr code

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trunk: change to kaldi-mutex.cc to be tolerant of the gcc/Haswell bug described at http://lists.opensuse.org/opensuse-bugs/2014-03/msg00137.html

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- removing --drop-frames from rbm-train-cd1-frmshuff,
- fixing code, so no utterance is used twice



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- steps/nnet/train_scheduler.sh : add option --keep-lr-iters, to delay learning-rate halving when requested
- utils/nnet/make_nnet_proto.py : add max-norm support
- timit/s5/local/score*.sh : faster scoring
- tedlium/s5/local/run_dnn.sh : bugfix, for sMBR step decode once



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trunk: various mostly cosmetic changes to nnet scripts; add scripts in RM setup to demonstrate conversion nnet1->nnet2 followed by training.

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trunk: compilation fix, put #if HAVE_CUDA == 1 around GPU-health checks Karel added in previous commit.

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- adding runtime ``GPU-health'' check
- modifying Dropout, adding MaxNorm
- extending log-prints in lattice decoding (can be used for confidence monitoring)



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trunk: minor change to RandGauss2() and similar functions, to use log,logf instead of std::log and similar functions (there was some performance issue in the past with functions like std::log).

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trunk: update SRE08 script to use larger subset for UBM training and to update results; adding results for domain-adaptation method.

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Rand() is equal to rand(), but thread-safe on unix, by means of a static mutex.
It takes an optional RandomState* argument, in order to avoid using the mutex in performance-critical code.
The functions RandInt, WithProb, RandUniform, RandGauss, RandPoisson and RandPrune now take an optional RandomState* argument.
Created the RandGauss2 function, which allows to create two random gaussian numbers in one shot (optimization of RandGauss).
Optimization of vector and matrix random set methods.



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For example, request a SLURM queue call 'long', specifiy 4 cores per job and
request 16G memory per job; run 4 parallel jobs, each running `echo foo`:

  slurm.pl -p long -c 4 --mem=2g JOB=1:4 some.JOB.log echo foo

Also, modified slurm.pl to use SLURM's salloc instead of srun. This allows
to execute parallel jobs from inside another SLURM job. This is good
if you are running an interactive bash shell inside a SLURM job, and want to
execute another parallel job from there.



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