From: Daniel P. <dp...@gm...> - 2015-06-23 04:30:57
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By a lot of context I mean left-context and right-context, in the splicing. But I guess you are using one of the standard types of model. Dan On Tue, Jun 23, 2015 at 12:24 AM, Kirill Katsnelson <kir...@sm...> wrote: > The majority of the WER comes from subs, so this part looks pretty normal. > > A lot of acoustic context--probably, depending on the definition of "a lot." :-) Not sure I understand this part. How can I tell? It makes sense, looking at the base dev set figures that I got training the model from the first 500 hr of the librispeech corpus (best range of 16-17). Which are still higher than the reference in the RESULTS for the full 1Khr corpus, which is rather in the 12-15 range. > > -kkm > >> -----Original Message----- >> From: Daniel Povey [mailto:dp...@gm...] >> Sent: 2015-06-22 2059 >> To: Kirill Katsnelson >> Cc: Nagendra Goel; kal...@li... >> Subject: Re: [Kaldi-users] LM weight >> >> Usually if there is a lot of acoustic context in your model you will >> require a larger LM weight. >> Also, if for some reason there tend to be a lot of insertions in >> decoding (e.g. something weird went wrong in training, or there is some >> kind of normalization problem), a large LM weight can help reduce >> insertions and so improve the WER. >> >> Dan >> >> >> On Mon, Jun 22, 2015 at 11:36 PM, Kirill Katsnelson >> <kir...@sm...> wrote: >> > I am getting the same ratio on both small and more targeted, and a >> quite large general LM. I do not understand what to make out if it! >> > >> > -kkm >> > >> >> -----Original Message----- >> >> From: Nagendra Goel [mailto:nag...@go...] >> >> Sent: 2015-06-22 2032 >> >> To: Kirill Katsnelson; kal...@li... >> >> Subject: RE: [Kaldi-users] LM weight >> >> >> >> Or maybe your domain is limited and LM very nicely matched to the >> >> task at hand? >> >> >> >> -----Original Message----- >> >> From: Kirill Katsnelson [mailto:kir...@sm...] >> >> Sent: Monday, June 22, 2015 11:29 PM >> >> To: kal...@li... >> >> Subject: [Kaldi-users] LM weight >> >> >> >> I my test sets I am getting the best WER at LM/acoustic weight in >> the >> >> range of 18-19, with multiple LMs of different size and origin. I >> was >> >> usually thinking the usual ballpark figure about 10, give or take. >> >> From your experience, does this larger LM weight mean anything, and >> >> what if it does? I am guessing an inadequate acoustic model, >> >> requiring more LM "pull"--am I making sense? >> >> >> >> -kkm >> >> >> >> -------------------------------------------------------------------- >> - >> >> -- >> >> ----- >> >> -- >> >> Monitor 25 network devices or servers for free with OpManager! >> >> OpManager is web-based network management software that monitors >> >> network devices and physical & virtual servers, alerts via email & >> >> sms for fault. >> >> Monitor 25 devices for free with no restriction. Download now >> >> http://ad.doubleclick.net/ddm/clk/292181274;119417398;o >> >> _______________________________________________ >> >> Kaldi-users mailing list >> >> Kal...@li... >> >> https://lists.sourceforge.net/lists/listinfo/kaldi-users >> > >> > --------------------------------------------------------------------- >> - >> > -------- Monitor 25 network devices or servers for free with >> > OpManager! >> > OpManager is web-based network management software that monitors >> > network devices and physical & virtual servers, alerts via email & >> sms >> > for fault. Monitor 25 devices for free with no restriction. Download >> > now http://ad.doubleclick.net/ddm/clk/292181274;119417398;o >> > _______________________________________________ >> > Kaldi-users mailing list >> > Kal...@li... >> > https://lists.sourceforge.net/lists/listinfo/kaldi-users |