G: Because uh , uh , the the SpeechDat databases are not telephone speech .
G: They are downsampled to eight kilohertz
G: but but they are not uh with telephone bandwidth .
F: Yeah .
F: That 's really funny
F: isn't it ?
F: I mean cuz th this whole thing is for developing new standards for the telephone .
C: Telephone .
F: Yeah .
G: Yeah , but the the idea is to compute the feature before the before sending them to the G: Well , you don't do not send speech , you send features , computed on th the  the device ,
F: Mm - hmm .
F: Yeah , I know ,
F: but the reason G: or Well .
F: Oh I see ,
F: so your point is that it 's it 's it 's uh the features are computed locally , and so they aren't necessarily telephone bandwidth , uh or telephone distortions .
G: So you G: Yeah .
G: Yeah .
A: Did you happen to find out anything about the OGI multilingual database ?
F: Yeah , that 's wh that 's wh that 's what I meant .
G: Yeah , it 's F: I said @ @ , there 's there 's there 's an OGI language ID , not the not the , uh F: the CallFriend is a is a , uh , LDC w thing , right ?
G: Yea - Yeah , there are also two other databases .
G: One they call the multi - language database , and another one is a twenty - two language , something like that .
G: But it 's also telephone speech .
A: Oh , they are ?
A: OK .
G: Uh .
G: Well , nnn .
F: But I 'm not sure G: So F: I mean , we ' r e e The bandwidth shouldn't be such an issue
F: right ?
F: Because e e this is downsampled and and filtered ,
F: right ?
F: So it 's just the fact that it 's not telephone .
F: And there are so many other differences between these different databases .
F: I mean some of this stuff 's recorded in the car ,
F: and some of it 's F: I mean there 's there 's many different acoustic differences .
G: Yeah .
F: So I 'm not sure if . I mean , unless we 're going to include a bunch of car recordings in the in the training database , I 'm not sure if it 's completely rules it out
F: if our if we if our major goal is to have phonetic context and you figure that there 's gonna be a mismatch in acoustic conditions does it make it much worse f to sort of add another mismatch , if you will .
G: Mmm .
F: Uh , i i I I guess the question is how important is it to for us to get multiple languages uh , in there .
G: Yeah , but Mm - hmm . Um .
G: Yeah .
G: Well , actually , for the moment if we w do not want to use these phone databases , we we already have uh English , Spanish and French uh , with microphone speech .
F: Mm - hmm .
F: Yeah .
G: So .
F: So that 's what you 're thinking of using is sort of the multi the equivalent of the multiple ?
G: Well .
G: Yeah ,
G: for the multilingual part we were thinking of using these three databases .
F: And for the difference in phonetic context that you ? Provide that .
G: Well , this G: Uh , actually , these three databases are um generic databases .
E: Yeah .
G: So w f for for uh Italian , which is close to Spanish , French and , i i uh , TI - digits we have both uh , digits training data and also more general training data .
G: So . Mmm .
F: Well , we also have this Broadcast News that we were talking about taking off the disk , which is  is microphone data for for English .
G: Yeah .
G: Yeah , perhaps yeah , there is also TIMIT .
G: We could use TIMIT .
F: Yeah .
F: Right .
F: Yeah , so there 's plenty of stuff around .
F: OK , so anyway , th the basic plan is to , uh , test this cube .
G: Yeah .
F: Yes .
E: To fill in the cube .
F: To fill i fill it in ,
F: yeah .
F: OK .
G: Yeah , and perhaps , um  We were thinking that perhaps the cross - language issue is not , uh , so big of a issue .
G: Well , w w we perhaps we should not focus too much on that cross - language stuff .
G: I mean , uh , training training a net on a language and testing a for another language .
F: Uh - huh .
F: But that 's G: Mmm . Perhaps the most important is to have neural networks trained on the target languages . But , uh , with a general database general databases .
G: u So that th Well , the the guy who has to develop an application with one language can use the net trained o on that language , or a generic net ,
F: Uh , depen it depen it depends how you mean " using the net " .
G: but not trained on a F: So , if you 're talking about for producing these discriminative features that we 're talking about you can't do that .