topic_shift
bool 2
classes | utterance
stringlengths 1
7.9k
| session_id
stringlengths 7
14
|
|---|---|---|
false | OK. | QMSum_78 |
false | We 're running a little short here. | QMSum_78 |
false | That 's fine. | QMSum_78 |
false | We , uh , uh , cou trying to | QMSum_78 |
false | I 'm finished. | QMSum_78 |
false | eh , was p Well , you know , the thing I 'm concerned about is we wanted to do these digits | QMSum_78 |
false | Oh , yeah. | QMSum_78 |
false | and and I haven't heard , uh , from Jose yet. | QMSum_78 |
false | Oh , yes. | QMSum_78 |
false | OK. What do you want ? | QMSum_78 |
false | Mm - hmm. | QMSum_78 |
false | So | QMSum_78 |
false | We could skip the digits. | QMSum_78 |
false | Uh | QMSum_78 |
false | We don't have to read digits each time. | QMSum_78 |
false | Uh I I I think it you know , another another bunch of digits. More data is good. | QMSum_78 |
false | OK. | QMSum_78 |
false | Yeah. Sure. | QMSum_78 |
false | So so I 'd like to do that. But I think , do you , maybe , eh ? Did you prepare some whole thing you wanted us just to see ? | QMSum_78 |
false | Yeah. It 's it 's prepared. | QMSum_78 |
false | Or what was that ? Yeah. | QMSum_78 |
false | Oh , k Sorry. | QMSum_78 |
false | Uh , how long a ? | QMSum_78 |
false | I I think it 's it 's fast , because , uh , I have the results , eh , of the study of different energy without the law length. Eh , um , eh , in the in the measurement , uh , the average , uh , dividing by the by the , um , variance. Um , I th i | QMSum_78 |
false | Yeah. | QMSum_78 |
false | the other , uh the the last w uh , meeting eh , I don't know if you remain we have problem to with the with with the parameter with the representations of parameter , because the the valleys and the peaks in the signal , eh , look like , eh , it doesn't follow to the to the energy in the signal. | QMSum_78 |
false | Yes. Right. | QMSum_78 |
false | And it was a problem , uh , with the scale. | QMSum_78 |
false | With what ? | QMSum_78 |
false | Eh , the scale. | QMSum_78 |
false | Scale. | QMSum_78 |
false | Scale. | QMSum_78 |
false | Eh , and I I change the scale and we can see the the variance. | QMSum_78 |
false | OK. But the bottom line is it 's still not , uh , separating out very well. | QMSum_78 |
false | Yeah. Yeah. | QMSum_78 |
false | Right ? | QMSum_78 |
false | The distribution the distribution is is similar. | QMSum_78 |
false | OK. So that 's that 's that 's enough then. OK. | QMSum_78 |
false | Yeah. | QMSum_78 |
false | No , I mean , that there 's no point in going through all of that if that 's the bottom line , really. | QMSum_78 |
false | Yeah. | QMSum_78 |
false | Mm - hmm. | QMSum_78 |
false | Yeah. | QMSum_78 |
false | So , I I think we have to start Uh , I mean , there there 's two suggestions , really , which is , uh what we said before is that , | QMSum_78 |
false | Mmm , yeah. | QMSum_78 |
false | um , it looks like , at least that you haven't found an obvious way to normalize so that the energy is anything like a reliable , uh , indicator of the overlap. | QMSum_78 |
false | Yeah. Yeah. | QMSum_78 |
false | Um , I I 'm I 'm still a little f think that 's a little funny. These things l @ @ seems like there should be , | QMSum_78 |
false | Yeah. | QMSum_78 |
false | but but you don't want to keep , uh keep knocking at it if it 's if you 're not getting any any result with that. But , I mean , the other things that we talked about is , uh , pitch - related things and harmonicity - related things , | QMSum_78 |
false | Yeah. | QMSum_78 |
false | so which we thought also should be some kind of a reasonable indicator. Um But , uh , a completely different tack on it wou is the one that was suggested , uh , by your colleagues in Spain , | QMSum_78 |
false | Yeah. | QMSum_78 |
false | which is to say , don't worry so much about the , uh , features. | QMSum_78 |
false | Yeah. | QMSum_78 |
false | That is to say , use , you know , as as you 're doing with the speech , uh , nonspeech , use some very general features. | QMSum_78 |
false | Yeah. | QMSum_78 |
false | Yeah. | QMSum_78 |
false | And , uh , then , uh , look at it more from the aspect of modeling. | QMSum_78 |
false | Yeah. | QMSum_78 |
false | You know , have a have a couple Markov models and and , uh , try to indi try to determine , you know , w when is th when are you in an overlap , when are you not in an overlap. | QMSum_78 |
false | Hmm. | QMSum_78 |
false | And let the , uh , uh , statistical system determine what 's the right way to look at the data. | QMSum_78 |
false | Yeah. | QMSum_78 |
false | I I , um , I think it would be interesting to find individual features and put them together. I think that you 'd end up with a better system overall. | QMSum_78 |
false | Yeah. | QMSum_78 |
false | But given the limitation in time and given the fact that Javier 's system already exists doing this sort of thing , | QMSum_78 |
false | Yeah. | QMSum_78 |
false | uh , but , uh , its main limitation is that , again , it 's only looking at silences which would | QMSum_78 |
false | Yeah. Yeah. | QMSum_78 |
false | maybe that 's a better place to go. | QMSum_78 |
false | Yeah. | QMSum_78 |
false | Mm - hmm. | QMSum_78 |
false | So. | QMSum_78 |
false | I I I think that , eh , the possibility , eh , can be that , eh , Thilo , eh , working , eh , with a new class , not only , eh , nonspeech and speech , but , eh , in in in the speech class , | QMSum_78 |
false | Mm - hmm. Mm - hmm. | QMSum_78 |
false | dividing , eh , speech , eh , of from a speaker and overlapping , to try to to do , eh , eh , a fast a fast , eh , experiment to to prove that , nnn , this fea eh , general feature , eh , can solve the the the problem , | QMSum_78 |
false | Yeah. | QMSum_78 |
false | and wh what nnn , how far is | QMSum_78 |
false | Maybe. Yeah. | QMSum_78 |
false | And , I I have prepared the the pitch tracker now. | QMSum_78 |
false | Mm - hmm. | QMSum_78 |
false | And I hope the the next week I will have , eh , some results and we we will show we will see , eh , the the parameter the pitch , eh , tracking in with the program. | QMSum_78 |
false | I see. | QMSum_78 |
false | And , nnn , nnn | QMSum_78 |
false | Ha - h have you ever looked at the , uh , uh Javier 's , uh , speech segmenter ? | QMSum_78 |
false | No. No. | QMSum_78 |
false | No. | QMSum_78 |
false | Oh. Maybe m you could , you kn uh show Thilo that. | QMSum_78 |
false | Yeah. | QMSum_78 |
false | Yeah. Sure. | QMSum_78 |
false | Yeah. | QMSum_78 |
false | Cuz again the idea is there the limitation there again was that he was he was only using it to look at silence as a as a as a as a p putative split point between speakers. | QMSum_78 |
false | Yeah. | QMSum_78 |
false | But if you included , uh , broadened classes then in principle maybe you can cover the overlap cases. | QMSum_78 |
false | OK. | QMSum_78 |
false | Yeah. | QMSum_78 |
false | Yeah , but I 'm not too sure if if we can really represent overlap with with the s detector I I I used up to now , | QMSum_78 |
false | Mmm , yeah. | QMSum_78 |
false | Uh | QMSum_78 |
Subsets and Splits
No saved queries yet
Save your SQL queries to embed, download, and access them later. Queries will appear here once saved.