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Re: [Kaldi-users] issues with decoding (self loops) in tri2a for 1-minute speech segments
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From: Mailing l. u. f. U. C. a. U. <kal...@li...> - 2013-07-01 05:40:54
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That's what I thought. Thanks for the help. We've been very happy with the results. Will try to post back any recipes we get. Thanks, Nathan On Jun 30, 2013, at 10:34 PM, Daniel Povey wrote: > Lowering the beam will make it faster and somewhat less accurate, > that's the main effect. > Dan > > > On Mon, Jul 1, 2013 at 1:32 AM, Nathan Dunn <nd...@ca...> wrote: >> >> This seemed to do the trick. >> >> Would you also recommend lower the beam, as well. >> >> Thanks, >> >> Nathan >> >> >> On Jun 30, 2013, at 9:44 PM, Daniel Povey wrote: >> >> You could try gmm-latgen-faster which should be faster. >> You can set the lattice beam using e.g. --lattice-beam=5.0 >> That should stop this error. >> Dan >> >> >> On Mon, Jul 1, 2013 at 12:40 AM, Nathan Dunn <nd...@ca...> wrote: >> >> >> Dan, >> >> >> Thanks for quick reply. I am using an updated resource management script. >> The beam is 20 and an acoustic scale of 0.1. I'm not sure how I would >> specify the lattice-beam. I am in the stable branch. >> >> >> gmm-latgen-simple --beam=20.0 --acoustic-scale=0.1 >> --word-symbol-table=$lang/words.txt \ >> >> $srcdir/final.mdl $graphdir/HCLG.fst "$feats" "ark:|gzip -c > $dir/lat.gz" >> \ >> >> ark,t:$dir/test.tra ark,t:$dir/test.ali \ >> >> 2> $dir/decode.log || exit 1; >> >> >> I generated the language model using the CMU toolkit (not sure if that is >> best practices). For decoding its a little unusual. >> >> >> The language model is (currently) a set of the same 3 canonical passages. >> Each reader (100) reads the same 3 passages. We use these to build the >> language model, which is not ideal as it would be better to use the correct >> transcript (we are currently in the process of getting this), though it >> would surprise me if it failed because of this (and it works surprisingly >> well when it doesn't fail). >> >> >> So, after reading the script and taking your advice, I'm trying going to >> reduce the beam to 13 and an acoustic value of 0.07 (though I think it tries >> to fit this anyway). However, if gives me a similar failure. >> >> >> So, here are a few observations: >> >> 1 - it looks like I am getting this from poor quality audio (reader max's >> out input gain) >> >> 2 - should I use another method other than: gmm-latgen-simple . . . looked >> like there were quite a few other options >> >> 3 - are there other good parameters you would recommend? >> >> >> Thanks, >> >> >> Nathan >> >> >> >> On Jun 30, 2013, at 12:37 PM, Daniel Povey wrote: >> >> >> In case you are not on the list or did not get the reply. >> >> Please cc the list if you reply. >> >> >> >> ---------- Forwarded message ---------- >> >> From: Daniel Povey <dp...@gm...> >> >> Date: Sun, Jun 30, 2013 at 3:37 PM >> >> Subject: Re: [Kaldi-users] issues with decoding (self loops) in tri2a >> >> for 1-minute speech segments >> >> To: kal...@li... >> >> >> >> Can you describe the language model you use for the decoding phase? >> >> I'd like to know in order to understand what scenarios this is most >> >> likely to happen in. >> >> What values did you use for "beam" and "lattice-beam"? Typically you >> >> should be able to solve these problems by reducing "lattice-beam". >> >> >> >> Dan >> >> >> >> On Sun, Jun 30, 2013 at 3:26 PM, Mailing list used for User >> >> Communication and Updates <kal...@li...> wrote: >> >> >> 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 >> >> >> >> >> >> LOG >> >> (gmm-latgen-simple:RebuildRepository():fstext/determinize-lattice-pruned-inl.h:285) >> >> Rebuilding repository. >> >> LOG >> >> (gmm-latgen-simple:RebuildRepository():fstext/determinize-lattice-pruned-inl.h:285) >> >> Rebuilding repository. >> >> LOG >> >> (gmm-latgen-simple:RebuildRepository():fstext/determinize-lattice-pruned-inl.h:285) >> >> Rebuilding repository. >> >> LOG >> >> (gmm-latgen-simple:RebuildRepository():fstext/determinize-lattice-pruned-inl.h:285) >> >> Rebuilding repository. >> >> LOG >> >> (gmm-latgen-simple:RebuildRepository():fstext/determinize-lattice-pruned-inl.h:285) >> >> Rebuilding repository. >> >> LOG >> >> (gmm-latgen-simple:RebuildRepository():fstext/determinize-lattice-pruned-inl.h:285) >> >> Rebuilding repository. >> >> 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... >> >> >> >> >> >> ------------------------------------------------------------------------------ >> >> This SF.net email is sponsored by Windows: >> >> >> Build for Windows Store. >> >> >> http://p.sf.net/sfu/windows-dev2dev >> >> _______________________________________________ >> >> Kaldi-users mailing list >> >> Kal...@li... >> >> https://lists.sourceforge.net/lists/listinfo/kaldi-users >> >> >> >> |
