trunk: Removing binary lattice-to-ngram-counts.cc from latbin that was accidently added along with merge from sandbox/language_id

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trunk: Merging in i-Vector language identification updates from sandbox/language_id. Missing egs/lre07/v1 in Previous commit.

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sandbox/language_id: Merging trunk into sandbox again. Trying to fix mergeinfo problems, when merging this sandbox into trunk.

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sandbox/language_id: Removing change to egs/lre07/v3/run.sh used for testing that shouldn't have been committed.

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sandbox/language_id: Changing phonotactic example in egs/lre07/v3 to use the LRE07 closed-set criteria

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trunk: a lot of minor fixes, cosmetic changes and revisions (most significantly: making conjugate gradient more robust.)

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trunk: modifying gpu-based nnet2 training code to do the I/O and input-data formatting in a separate thread from the main training thread (substantial speed improvement).

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trunk,nnet1: adding tool 'feat-to-post', Converts features into posterior format, is used to specify NN training targets when training autoencoder.



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trunk: add the example script local/online/run_nnet2_perturb_speed.sh in egs/swbd/s5b which tries to perturb the data in the nnet training.



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Removing the egs/rm/s4 recipe. It's based on the older generation 's3' recipes, and now there are better examples using free data in Kaldi

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The change is in how the PER is computed. Previously there was optional silence with no output symbol, and forgiving of silence deletions. This was however slight cheating (Traditionally in TIMIT, the silence is scored).

The change consists of:
- removing the optional silence from he lexicon (see call of utils/prepare_lang.sh in run.sh)
- removing the forgiving of 'sil' deletions from scoring (see change in local/score.sh)
- updating the RESULTS

From now on the PER scores will involve no cheating and will be comparable to experiments in the literature.



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trunk: add the example script which demonstrates how speed perturbation of the data helps the nnet training

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