Attempt to merge master into kaldi_52; making it a PR for easier review. #1628
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- mpe: backward compatibility is provided - ivec: the ivectors get stored in binary format (saves space)
This is a solution for creating ASR training data from long recordings with transcription but without segmentation information.
…rno team); changes RE verbose level in nnet1 scripts.
…; babel_multilang example.
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@pegahgh, I have resolved the conflicts and this is a candidate merge of master to kaldi_52.
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Sure, I will do that
…On May 18, 2017 12:19 AM, "Daniel Povey" ***@***.***> wrote:
@pegahgh <https://github.com/pegahgh>, I have resolved the conflicts and
this is a candidate merge of master to kaldi_52.
But can you please help with testing? This involves:
- testing the mini-librispeech setup (both chain and CE example
scripts)
- testing your multi-lingual stuff again.
There were enough non-trivial code conflicts to be resolved that I'm
not comfortable committing this without further testing.
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…eck-merge-master Conflicts: egs/wsj/s5/steps/libs/nnet3/train/frame_level_objf/common.py
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* [scripts] nnet1: minor update i-vector and mpe scripts (kaldi-asr#1607) - mpe: backward compatibility is provided - ivec: the ivectors get stored in binary format (saves space) * [src] cosmetic change to const-arpa-lm-building code; remove too-general template. (kaldi-asr#1610) * [src,scripts,egs] Segmenting long erroneous recordings (kaldi-asr#1167) This is a solution for creating ASR training data from long recordings with transcription but without segmentation information. * [egs] thchs30 cmd and stage bug fix (kaldi-asr#1619) * [src] Change to GPU synchronization, for speed (disables GPU stats by default) (kaldi-asr#1617) * [src] Fix template instantiation bug causing failure if DOUBLEPRECISION=1 * [egs,scripts] Updates to BUT-specific cmd.sh settings (affects only Brno team); changes RE verbose level in nnet1 scripts. * [src] fix a small bug: logging cuda elapsed time (kaldi-asr#1623) * [src,scripts,egs] Add capability for multilingual training with nnet3; babel_multilang example. * [scripts] Fix some merge problems I noticed on github review. * [src] fix problem in test code. * fixed some issues to merge kaldi_52 into master. * removed add_lda parameter and its dependency.
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I had to fix a lot of conflicts, esp. relating to Pegah's multilingual script changes.