From: Daniel P. <dp...@gm...> - 2015-06-30 18:05:42
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It is still useful. i-vector adaptation does not need very much data to be effective. Dan On Tue, Jun 30, 2015 at 1:19 AM, Kirill Katsnelson <kir...@sm...> wrote: > In my scenario, I am processing multiple short (1-5 words typical) utterances by new unfamiliar speakers. This is a phone conversation between the system and a random caller. The caller connects, chats for a while (10 these short utterances is already a lot) and disappears forever. Do you find i-vector adaptation useful in such a scenario for nnet2-online models? Is the fact that training utterances are typically much longer will be rather detrimental? > > -kkm > ------------------------------------------------------------------------------ > Don't Limit Your Business. Reach for the Cloud. > GigeNET's Cloud Solutions provide you with the tools and support that > you need to offload your IT needs and focus on growing your business. > Configured For All Businesses. Start Your Cloud Today. > https://www.gigenetcloud.com/ > _______________________________________________ > Kaldi-users mailing list > Kal...@li... > https://lists.sourceforge.net/lists/listinfo/kaldi-users |