D: But even after that it 's still , you know , so poor that that , uh , no one could really use it .
D: So , um
D: I think that 's great that because and y also because again , it 's not something D: sometimes we 've gotten terrible results by taking some data , and artificially , you know , convolving it with some room response , or something D: we take a very D: Uh , at one point , uh , Brian and I went downstairs into the the basement where it was it was in a hallway where it was very reverberant
D: and we we made some recordings there .
D: And then we  we , uh uh , made a simulation of the of the room acoustics there and and applied it to other things ,
A: Mm - hmm .
D: and uh
D: But it was all pretty artificial ,
D: and and , you know , how often would you really try to have your most crucial conversations in this very reverberant hallway ?
D: Um So ,
D: uh This is what 's nice about the Aurora data and the data here , is that is that it 's sort of a realistic room situation uh , acoustics acoustic situation , both terms in noise and reflections , and so on
D: and n n And , uh ,
D: uh , with something that 's still relatively realistic , it 's still very very hard to do very well .
D: So
D: Yeah .
A: Yeah ,
A: so d
A: well
A: Actually , this is tha that 's why we A: well , it 's a different kind of data .
A: We 're not we 're not used to work with this kind of data .
D: Yeah .
A: That 's why we should have a loo more closer look at what 's going on .
E: Mm - hmm .
A: Um
A: Yeah .
A: So this would be the first thing ,
A: and then , of course , try to well , kind of debug what was wrong , eh , when we do Aurora test on the MSG particularly , and on the multi - band .
D: Yeah .
D: Yeah .
D: Yeah .
A: Uh
D: Yeah .
D: Yeah .
D: No , I I think there 's lots of lots of good things to do with this .
D: So
D: Um
D: So let 's D: I guess You were gonna say something else ?
D: Oh , OK .
D: What do you think ?
C: About
D: Anything
C: About other experiments ?
C: Uh , now , I 'm interested in , um , uh looking at the experiments where you use , um uh , data from multiple languages to train the neural net .
C: And I don't know how far , or if you guys even had a chance to try that , but that would be some it 'd be interesting to me .
A: Yeah , but
D: S b
A: Again , it 's the kind of of thing that , uh , we were thin thinking thinking that it would work , but it didn't work .
A: And , eh , so there is kind of of not a bug , but something wrong in what we are doing , perhaps .
D: Yeah .
C: Right .
C: Right .
C: Right .
A: Uh , something wrong , perhaps in the just in the the fact that the labels are A: well
C: Mm - hmm .
A: What worked best is the hand - labeled data .
C: Mm - hmm .
A: Um
A: Uh , so , yeah .
A: I don't know if we can get some hand - labeled data from other languages .
C: Yeah .
A: It 's not so easy to find .
C: Right .
A: But that would be something interesting t to to see .
C: Yeah ,
C: yeah .
D: Yeah .
D: Also , uh , I mean , there was just the whole notion of having multiple nets that were trained on different data .
D: So one form of different data was is from different languages , but the other
D: Well , i in fact , uh , m in those experiments it wasn't so much combining multiple nets , it was a single net that had different
A: Yeah .
D: So , first thing is would it be better if they were multiple nets , for some reason ?
D: Second thing is , never mind the different languages , just having acoustic conditions rather than training them all up in one ,
D: would it be helpful to have different ones ?
D: So , um
D: That was a question that was kind of raised by Mike Shire 's thesis , and on in that case in terms of reverberation .
D: Right ?
D: That that sometimes it might be better to do that .
D: But , um , I don't think we know for sure .
D: So , um
D: Right .
D: So , next week , we , uh , won't meet because you 'll be in Europe .
D: Whe - when are you two getting back ?
E: Um , I 'm
A: You on Friday or S on Saturday
E: Sunday
A: or ?
E: because it 's it 's less expensive , the price the price the ticket .
A: S oh yeah , Sunday , yeah .
D: Yeah , that 's right .
D: You 've gotta S have a Saturday overnight ,
D: right ?
A: I 'll be back on Tuesday .
D: Tuesday .
C: Where where 's the meeting ?
D: Uh , Amsterdam , I think ,
A: Yeah , Amsterdam .
D: yeah ?
C: Uh - huh .
D: Yeah .
D: Yeah , yeah .
D: Yep .
D: Um So , we 'll skip next week , and we 'll meet two weeks from now .
D: And , uh , I guess the main topic will be , uh , you telling us what happened .
A: Yeah .
E: Yeah .
D: Uh , so
D: Yeah ,
D: well , if we don't have an anything else to discuss , we should , uh , turn off the machine and then say the real nasty things .
C: Should we do digits first ?
B: Oh , yeah , digits .
D: Oh yeah , digits !
A: Yeah .
D: Yeah .
D: Good point .
D: Yeah ,
D: good thinking .
D: Why don't you go ahead .
C: OK .
C: OK .