PhD C: When is the next , um , Aurora deadline ?
PhD A: and It 's , um , in June . Yeah .
PhD C: June .
Professor B: Early June , late June , middle June ?
PhD A: I don't know w
Professor B: Hmm .
Grad E: Hmm .
Professor B: OK . Um , and he 's been doing all the talking but but these  he 's he 's , uh PhD F: Yeah .
Professor B: This is this by the way a bad thing . We 're trying to get , um , m more female voices in this record as well . So . Make sur make sure Carmen talks as well . Uh , but has he pretty much been talking about what you 're doing also , and ?
PhD F: Oh , I I am doing this .
Professor B: Yes .
PhD F: Yeah , yeah . I don't know . I 'm sorry , but I think that for the recognizer for the meeting recorder that it 's better that I don't speak .
Professor B: Yeah , well .
PhD F: Because Professor B: You know , uh , we 'll get we 'll get to , uh , Spanish voices sometime , and we do we want to recognize , uh , you too .
PhD F: After the after , uh , the result for the TI - digits on the meeting record there will be foreigns people .
PhD A: Yeah , but Professor B: Oh , no .
PhD C: Y
Professor B: We like we we 're we 're w we are we 're in the , uh , Bourlard - Hermansky - Morgan , uh , frame of mind . Yeah , we like high error rates . It 's PhD A: Yeah .
Professor B: That way there 's lots of work to do . So it 's Uh , anything to talk about ?
Grad D: N um , not not not much is new . So when I talked about what I 'm planning to do last time , I said I was , um , going to use Avendano 's method of , um , using a transformation , um , to map from long analysis frames which are used for removing reverberation to short analysis frames for feature calculation . He has a trick for doing that involving viewing the DFT as a matrix . Um , but , uh , um , I decided not to do that after all because I I realized to use it I 'd need to have these short analysis frames get plugged directly into the feature computation somehow
Professor B: Mm - hmm .
Grad D: and right now I think our feature computation is set to up to , um , take , um , audio as input , in general . So I decided that I I 'll do the reverberation removal on the long analysis windows and then just re - synthesize audio and then send that .
Professor B: This is in order to use the SRI system or something . Right ?
Grad D: Um , or or even if I 'm using our system , I was thinking it might be easier to just re - synthesize the audio ,
Professor B: Yeah ?
Grad D: because then I could just feacalc as is and I wouldn't have to change the code .
Professor B: Oh , OK . Yeah . I mean , it 's um , certainly in a short short - term this just sounds easier .
Grad D: Uh - huh .
Professor B: Yeah . I mean , longer - term if it 's  if it turns out to be useful , one one might want to do something else ,
Grad D: Right . That 's true .
Professor B: but Uh , uh , I mean , in in other words , you you may be putting other kinds of errors in from the re - synthesis process .
Grad D: But e u From the re - synthesis ? Um ,
Professor B: Yeah .
Grad D: O - OK . I don't know anything about re - synthesis . Uh , how likely do you think that is ?
Professor B: Uh , it depends what you what you do . I mean , it 's it 's it 's , uh , um Don't know . But anyway it sounds like a reasonable way to go for a for an initial thing , and we can look at  at exactly what you end up doing and and then figure out if there 's some  something that could be be hurt by the end part of the process .
Grad D: OK .
Professor B: OK . So that 's That was it , huh ?
Grad D: That Yeah , e That 's it , that 's it .
Professor B: OK . OK .
Grad D: Uh - huh .
Professor B: Um , anything to add ?
Grad E: Um . Well , I 've been continuing reading . I went off on a little tangent this past week , um , looking at , uh , uh , modulation s spectrum stuff , um , and and learning a bit about what what , um what it is , and , uh , the importance of it in speech recognition . And I found some  some , uh , neat papers , um , historical papers from , um , Kanedera , Hermansky , and Arai .
Professor B: Yeah .
Grad E: And they they did a lot of experiments where th where , um , they take speech and , um , e they modify the , uh they they they measure the relative importance of having different , um , portions of the modulation spectrum intact .
Professor B: Yeah .
Grad E: And they find that the the spectrum between one and sixteen hertz in the modulation is , uh is im important for speech recognition .
Professor B: Sure . I mean , this sort of goes back to earlier stuff by Drullman .
Grad E: Um .
Professor B: And and , uh , the the MSG features were sort of built up with this notion Grad E: Yeah . Right .
Professor B: But , I guess , I thought you had brought this up in the context of , um , targets somehow .
Grad E: Right .
Professor B: But i m
Grad E: Um Professor B: i it 's not I mean , they 're sort of not in the same kind of category as , say , a phonetic target or a syllabic target
Grad E: Mmm . Mm - hmm .
Professor B: or a Grad E: Um , I was thinking more like using them as as the inputs to to the detectors .
Professor B: or a feature or something . Oh , I see . Well , that 's sort of what MSG does .
Grad E: Yeah . Yeah .
Professor B: Right ? So it 's Grad E: Mm - hmm .
Professor B: But but , uh Grad E: S
Professor B: Yeah .
Grad E: Yeah .
Professor B: Anyway , we 'll talk more about it later .