[Kaldi-users] issues with decoding (self loops) in tri2a for 1-minute speech segments

[Mailing l. u. f. U. C. a. U. <kal...@li...>]

Hello,

I'm trying to decode long (1 minute) speech segments (multiple sentences) having trained on short (<15 second) corpuses.   For some reason I get random failures of the following(even longer logs below):

WARNING (gmm-latgen-simple:Close():kaldi-io.cc:444) Pipe compute-cmvn-stats scp:data/test_childspeech/feats.scp ark:- | apply-cmvn --norm-vars=false  ark:- scp:data/test_childspeech/feats.scp ark:- | add-deltas ark:- ark:- | had nonzero return status 36096
ERROR (gmm-latgen-simple:EpsilonClosure():fstext/determinize-lattice-pruned-inl.h:664) Lattice determinization aborted since looped more than 500000 times during epsilon closure.

I've had it decode 135 of these, but sometimes it will fail after 5-10 with this error.  

My training model is the LDC9763 child's speech corpus, of which I use about 4K sentences.  If I test on a subset (100 not int he training set) I get great results (using the tri2a method).   

The language model I use for testing is the target speakers' target sentence (45 speakers speaking the same 3 sentences).  

Next, I was going to try breaking up the decoding into smaller segments (those seem to work) as well as have a more accurate language model for the decoding phase.  

Any ideas?  

Thanks,

Nathan




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LOG (gmm-latgen-simple:RebuildRepository():fstext/determinize-lattice-pruned-inl.

Nathan Dunn, Ph.D.
Scientific Programer
College of Arts and Science IT
541-221-2418
nd...@ca...