see the pitch contours and you and when you hit play like a line that goes through it you know and all aligned with like the t the Oh audio great Audio and the Yeah And the stylized features are pretty cool Hmm Yeah So these this does a linear and so normally if you look at an track it jumps all Yeah the place This is a nice smooth one Oh and neat really does something job like a median filter in it or something And Yeah uh combination Yeah a linear fit or whatever Yeah median filtering and then a linear fit Yeah based on some criteria OK Uh sure G Actually could you email me a reference to that paper If you have Yeah it sure Cuz sorta curious how I should email what Morgan criteria too has because he was asking about that And Yeah mean so obviously a between the number of knots y you pick and the best fit I mean so if doing a linear Yeah you have to figure out how many pieces you want Yeah And Sure a because the best the best mean squared fit would be with an infinite number of knots Right well then Yeah not a linear Yeah fit Yeah not sure fitting is anything then But Well Yeah So Yeah so you It a and wondering a what useless criteria they use Yeah I actually don't know off the top of my head Was this code that you downloaded to do this Or This was it um Kemal Sonmez at SRI Hmm com with uh Liz At SRI dot com Yeah Did I just No I you No said i SRI so I had to It add sounded dot a com URL Oh way you were saying it yeah Oh Sorry Um yeah but so Kamal has uh He did a paper on this for some v speech verification uh project and we basically e extrapolated what he what he did for that work and applied it to our files And how we do how we get our feature files and everything for all So the what prosody is like the implementation that you used was something that you coded up here Or you That code from somewhere No we grabbed most of it Like we grabbed Ah linear fitting stuff I see did all the alignments and all And matching and stuff but the actual coding of the And the the math was done somewhere else These are our candidates which supposed to use for the synthesis thing I suppose Uh so what you were working on right Right the same software I Yeah used OK get the data OK I I gave you a c couple examples Yeah I m didn't and have time to to look at that Hmm Right Yeah So other topic is uh the IBM transcription status stuff So sent a few to them gotten a few back Um I sorta wish Jane was were here because I think she gave Didn't she give one of them to one of the transcribers Yeah done now And how was it She said it was much faster Great really helped a lot to have that So um Much faster than doing Hand everything scratch OK Yeah end So to en Like from the beginning of the process to No process no So from the point where we s take it Well but faster we wanted Yeah Right We knew Ooo it would Yeah longer to have multiple groups u So sorta like doing things in parallel Yeah Right right know So if you know if they can be working Well on pipelined while working on the other things then when we get them in they don't have to do that one from scratch Right basically The idea is that taking less time of the linguists Right the transcribers So S now it is taking a bit of time to turn around the meetings from IBM part several problems One is um we were giving them these large files which they then had to split up and put onto cassette tapes So either ninety Oh minute or sixty minute tapes so they had to try to find an appropriate place to break this large file that we gave them So one of the things that we did is Adam made a modification to th his script that generates this so you can tell it that you want uh basically uh chunks that are no more than either thirty or minutes And then we can give those to IBM and make it easier for them to put them on tape Um then the other thing is that these pool of transcribers that using um sort of are not dedicated to to our project but are in use for all IBM projects and IBM has recently giving given them uh a whole bunch of stuff So gonna sort of delay We might wanna us revisit hiring our own external transcription company Because I think that would be cheaper than having our people do it but do it with the same process with these beep files Hmm an interesting idea I mean cuz originally I had disc discounted that because it was just gonna be too hard But now we have this procedure with the beep files worked Yeah out So the only difference maybe would would be OK we would be putting the stuff on tape versus Yeah IBM Yep And then we could send If if we had that process down of putting the audio onto tape we can send IBM the tapes or we can send this transcription might wanna place that tape anyway Because it seems like being a bottleneck and silly It shouldn't be a bottleneck Yeah I mean It would Once Well got u set up it w it So I don't know where the bottleneck was Was the bottleneck in breaking this large file up into the appropriate size chunks or was it actually putting it onto the tape may well have been partially that you know because they tried it and then they would have to listen to the tape and find out where it bleeps Exactly forward in the file et Yeah et cetera But uh Yeah it just seems like not hard for us to do and that would just make things go faster Yeah so how do we do that How would we Get put tape deck Yeah Yeah plug it in Plug to it computer sound card hit record on the tape Yeah deck and just do it all all uh So plug i So analog the headphone output in the back of the computer out Line out yeah into the on a tape player Hmm Oh Well that sounds pretty So I mean the easy way They might have a more complex at IBM seen digital digital analog tapes where controlled by the computer Yeah Mmm The But easy way is Yeah I know don't No to do that Yeah