Ah , yes. Mm - hmm.
and  uh , actually we did this before knowing the result of all the data , uh , so we have to to redo the uh  the experiment training the net with , uh PLP , but with delta. But
Mm - hmm.
um this  this net performed quite well. Well , it 's  it 's better than the net using French , Spanish , and English only. Uh. So , uh , yeah. We have also started feature combination experiments. Uh many experiments using features and net outputs together. And this is  The results are on the other document. Uh , we can discuss this after , perhaps  well , just , @ @. Yeah , so basically there are four  four kind of systems. The first one , yeah , is combining , um , two feature streams , uh using  and each feature stream has its own MPL. So it 's the  kind of similar to the tandem that was proposed for the first. The multi - stream tandem for the first proposal. The second is using features and KLT transformed MLP outputs. And the third one is to u use a single KLT trans transform features as well as MLP outputs. Um , yeah. Mmm. You know you can  you can comment these results ,