elplaguister/DTS_pair_datasets · Datasets at Hugging Face

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Yeah. In fact , you could do something like keep exactly the same procedure and then add a fifth thing onto it	Mm - hmm.	that had more.	Exactly.	false	QMSum_120
Mm - hmm.	that had more.	Exactly.	Yeah.	false	QMSum_120
that had more.	Exactly.	Yeah.	Right. Right.	false	QMSum_120
Exactly.	Yeah.	Right. Right.	So at at the middle o where the arrows are showing , that 's you 're adding one more mixture per state ,	false	QMSum_120
Yeah.	Right. Right.	So at at the middle o where the arrows are showing , that 's you 're adding one more mixture per state ,	Uh - huh. Uh ,	false	QMSum_120
Right. Right.	So at at the middle o where the arrows are showing , that 's you 're adding one more mixture per state ,	Uh - huh. Uh ,	or ?	false	QMSum_120
So at at the middle o where the arrows are showing , that 's you 're adding one more mixture per state ,	Uh - huh. Uh ,	or ?	let 's see , uh. It goes from this uh , try to go it backwards this at this point it 's two mixtures per state. So this just adds one. Except that , uh , actually for the silence model , it 's six mixtures per state.	false	QMSum_120
Uh - huh. Uh ,	or ?	let 's see , uh. It goes from this uh , try to go it backwards this at this point it 's two mixtures per state. So this just adds one. Except that , uh , actually for the silence model , it 's six mixtures per state.	Mm - hmm.	false	QMSum_120
or ?	let 's see , uh. It goes from this uh , try to go it backwards this at this point it 's two mixtures per state. So this just adds one. Except that , uh , actually for the silence model , it 's six mixtures per state.	Mm - hmm.	Uh , so it goes to two.	false	QMSum_120
let 's see , uh. It goes from this uh , try to go it backwards this at this point it 's two mixtures per state. So this just adds one. Except that , uh , actually for the silence model , it 's six mixtures per state.	Mm - hmm.	Uh , so it goes to two.	OK.	false	QMSum_120
Mm - hmm.	Uh , so it goes to two.	OK.	Um. And I think what happens here is	false	QMSum_120
Uh , so it goes to two.	OK.	Um. And I think what happens here is	Might be between , uh , shared , uh shared variances or something ,	false	QMSum_120
OK.	Um. And I think what happens here is	Might be between , uh , shared , uh shared variances or something ,	Yeah. I think that 's what it is.	false	QMSum_120
Um. And I think what happens here is	Might be between , uh , shared , uh shared variances or something ,	Yeah. I think that 's what it is.	or	false	QMSum_120
Might be between , uh , shared , uh shared variances or something ,	Yeah. I think that 's what it is.	or	Uh , yeah. It 's , uh Shoot. I I I can't remember now what happens at that first one. Uh , I have to look it up and see.	false	QMSum_120
Yeah. I think that 's what it is.	or	Uh , yeah. It 's , uh Shoot. I I I can't remember now what happens at that first one. Uh , I have to look it up and see.	Oh , OK.	false	QMSum_120
or	Uh , yeah. It 's , uh Shoot. I I I can't remember now what happens at that first one. Uh , I have to look it up and see.	Oh , OK.	Um , there because they start off with , uh , an initial model which is just this global model , and then they split it to the individuals. And so , it may be that that 's what 's happening here. I I I have to look it up and see. I I don't exactly remember.	false	QMSum_120
Uh , yeah. It 's , uh Shoot. I I I can't remember now what happens at that first one. Uh , I have to look it up and see.	Oh , OK.	Um , there because they start off with , uh , an initial model which is just this global model , and then they split it to the individuals. And so , it may be that that 's what 's happening here. I I I have to look it up and see. I I don't exactly remember.	OK.	false	QMSum_120
Oh , OK.	Um , there because they start off with , uh , an initial model which is just this global model , and then they split it to the individuals. And so , it may be that that 's what 's happening here. I I I have to look it up and see. I I don't exactly remember.	OK.	OK.	false	QMSum_120
Um , there because they start off with , uh , an initial model which is just this global model , and then they split it to the individuals. And so , it may be that that 's what 's happening here. I I I have to look it up and see. I I don't exactly remember.	OK.	OK.	So. That 's it.	false	QMSum_120
OK.	OK.	So. That 's it.	Alright. So what else ?	false	QMSum_120
OK.	So. That 's it.	Alright. So what else ?	Um. Yeah. There was a conference call this Tuesday. Um. I don't know yet the what happened Tuesday , but the points that they were supposed to discuss is still , uh , things like the weights , uh	false	QMSum_120
So. That 's it.	Alright. So what else ?	Um. Yeah. There was a conference call this Tuesday. Um. I don't know yet the what happened Tuesday , but the points that they were supposed to discuss is still , uh , things like the weights , uh	Oh , this is a conference call for , uh , uh , Aurora participant sort of thing.	true	QMSum_120
Alright. So what else ?	Um. Yeah. There was a conference call this Tuesday. Um. I don't know yet the what happened Tuesday , but the points that they were supposed to discuss is still , uh , things like the weights , uh	Oh , this is a conference call for , uh , uh , Aurora participant sort of thing.	For	false	QMSum_120
Um. Yeah. There was a conference call this Tuesday. Um. I don't know yet the what happened Tuesday , but the points that they were supposed to discuss is still , uh , things like the weights , uh	Oh , this is a conference call for , uh , uh , Aurora participant sort of thing.	For	Yeah. Yeah.	false	QMSum_120
Oh , this is a conference call for , uh , uh , Aurora participant sort of thing.	For	Yeah. Yeah.	I see.	false	QMSum_120
For	Yeah. Yeah.	I see.	Mmm.	false	QMSum_120
Yeah. Yeah.	I see.	Mmm.	Do you know who was who was since we weren't in on it , uh , do you know who was in from OGI ? Was was was Hynek involved or was it Sunil	false	QMSum_120
I see.	Mmm.	Do you know who was who was since we weren't in on it , uh , do you know who was in from OGI ? Was was was Hynek involved or was it Sunil	I have no idea.	false	QMSum_120
Mmm.	Do you know who was who was since we weren't in on it , uh , do you know who was in from OGI ? Was was was Hynek involved or was it Sunil	I have no idea.	or ?	false	QMSum_120
Do you know who was who was since we weren't in on it , uh , do you know who was in from OGI ? Was was was Hynek involved or was it Sunil	I have no idea.	or ?	Mmm , I just	false	QMSum_120
I have no idea.	or ?	Mmm , I just	Oh , you don't know. OK.	false	QMSum_120
or ?	Mmm , I just	Oh , you don't know. OK.	Yeah.	false	QMSum_120
Mmm , I just	Oh , you don't know. OK.	Yeah.	Alright.	false	QMSum_120
Oh , you don't know. OK.	Yeah.	Alright.	Um , yeah. So the points were the the weights how to weight the different error rates that are obtained from different language and and conditions. Um , it 's not clear that they will keep the same kind of weighting. Right now it 's a weighting on on improvement.	false	QMSum_120
Yeah.	Alright.	Um , yeah. So the points were the the weights how to weight the different error rates that are obtained from different language and and conditions. Um , it 's not clear that they will keep the same kind of weighting. Right now it 's a weighting on on improvement.	Mm - hmm.	false	QMSum_120
Alright.	Um , yeah. So the points were the the weights how to weight the different error rates that are obtained from different language and and conditions. Um , it 's not clear that they will keep the same kind of weighting. Right now it 's a weighting on on improvement.	Mm - hmm.	Some people are arguing that it would be better to have weights on uh well , to to combine error rates before computing improvement. Uh , and the fact is that for right now for the English , they have weights they they combine error rates , but for the other languages they combine improvement. So it 's not very consistent. Um	false	QMSum_120
Um , yeah. So the points were the the weights how to weight the different error rates that are obtained from different language and and conditions. Um , it 's not clear that they will keep the same kind of weighting. Right now it 's a weighting on on improvement.	Mm - hmm.	Some people are arguing that it would be better to have weights on uh well , to to combine error rates before computing improvement. Uh , and the fact is that for right now for the English , they have weights they they combine error rates , but for the other languages they combine improvement. So it 's not very consistent. Um	Mm - hmm.	false	QMSum_120
Mm - hmm.	Some people are arguing that it would be better to have weights on uh well , to to combine error rates before computing improvement. Uh , and the fact is that for right now for the English , they have weights they they combine error rates , but for the other languages they combine improvement. So it 's not very consistent. Um	Mm - hmm.	Yeah. The , um Yeah. And so Well , this is a point. And right now actually there is a thing also , uh , that happens with the current weight is that a very non - significant improvement on the well - matched case result in huge differences in in the final number.	false	QMSum_120
Some people are arguing that it would be better to have weights on uh well , to to combine error rates before computing improvement. Uh , and the fact is that for right now for the English , they have weights they they combine error rates , but for the other languages they combine improvement. So it 's not very consistent. Um	Mm - hmm.	Yeah. The , um Yeah. And so Well , this is a point. And right now actually there is a thing also , uh , that happens with the current weight is that a very non - significant improvement on the well - matched case result in huge differences in in the final number.	Mm - hmm.	false	QMSum_120
Mm - hmm.	Yeah. The , um Yeah. And so Well , this is a point. And right now actually there is a thing also , uh , that happens with the current weight is that a very non - significant improvement on the well - matched case result in huge differences in in the final number.	Mm - hmm.	And so , perhaps they will change the weights to	false	QMSum_120
Yeah. The , um Yeah. And so Well , this is a point. And right now actually there is a thing also , uh , that happens with the current weight is that a very non - significant improvement on the well - matched case result in huge differences in in the final number.	Mm - hmm.	And so , perhaps they will change the weights to	Hmm.	false	QMSum_120
Mm - hmm.	And so , perhaps they will change the weights to	Hmm.	Yeah.	false	QMSum_120
And so , perhaps they will change the weights to	Hmm.	Yeah.	How should that be done ? I mean , it it seems like there 's a simple way	false	QMSum_120
Hmm.	Yeah.	How should that be done ? I mean , it it seems like there 's a simple way	Mm - hmm.	false	QMSum_120
Yeah.	How should that be done ? I mean , it it seems like there 's a simple way	Mm - hmm.	Uh , this seems like an obvious mistake or something.	false	QMSum_120
How should that be done ? I mean , it it seems like there 's a simple way	Mm - hmm.	Uh , this seems like an obvious mistake or something.	Well , I mean , the fact that it 's inconsistent is an obvious mistake.	false	QMSum_120
Mm - hmm.	Uh , this seems like an obvious mistake or something.	Well , I mean , the fact that it 's inconsistent is an obvious mistake.	Th - they 're	false	QMSum_120
Uh , this seems like an obvious mistake or something.	Well , I mean , the fact that it 's inconsistent is an obvious mistake.	Th - they 're	But the but , um , the other thing	false	QMSum_120
Well , I mean , the fact that it 's inconsistent is an obvious mistake.	Th - they 're	But the but , um , the other thing	In	false	QMSum_120
Th - they 're	But the but , um , the other thing	In	I don't know I haven't thought it through , but one one would think that each It it 's like if you say what 's the what 's the best way to do an average , an arithmetic average or a geometric average ?	false	QMSum_120
But the but , um , the other thing	In	I don't know I haven't thought it through , but one one would think that each It it 's like if you say what 's the what 's the best way to do an average , an arithmetic average or a geometric average ?	Mm - hmm.	false	QMSum_120
In	I don't know I haven't thought it through , but one one would think that each It it 's like if you say what 's the what 's the best way to do an average , an arithmetic average or a geometric average ?	Mm - hmm.	It depends what you wanna show.	false	QMSum_120
I don't know I haven't thought it through , but one one would think that each It it 's like if you say what 's the what 's the best way to do an average , an arithmetic average or a geometric average ?	Mm - hmm.	It depends what you wanna show.	Mm - hmm.	false	QMSum_120
Mm - hmm.	It depends what you wanna show.	Mm - hmm.	Each each one is gonna have a different characteristic.	false	QMSum_120
It depends what you wanna show.	Mm - hmm.	Each each one is gonna have a different characteristic.	Yeah.	false	QMSum_120
Mm - hmm.	Each each one is gonna have a different characteristic.	Yeah.	So	false	QMSum_120
Each each one is gonna have a different characteristic.	Yeah.	So	Well , it seems like they should do , like , the percentage improvement or something , rather than the absolute improvement.	false	QMSum_120
Yeah.	So	Well , it seems like they should do , like , the percentage improvement or something , rather than the absolute improvement.	Tha - that 's what they do.	false	QMSum_120
So	Well , it seems like they should do , like , the percentage improvement or something , rather than the absolute improvement.	Tha - that 's what they do.	Well , they are doing that.	false	QMSum_120
Well , it seems like they should do , like , the percentage improvement or something , rather than the absolute improvement.	Tha - that 's what they do.	Well , they are doing that.	Yeah.	false	QMSum_120
Tha - that 's what they do.	Well , they are doing that.	Yeah.	No , that is relative. But the question is , do you average the relative improvements or do you average the error rates and take the relative improvement maybe of that ?	false	QMSum_120
Well , they are doing that.	Yeah.	No , that is relative. But the question is , do you average the relative improvements or do you average the error rates and take the relative improvement maybe of that ?	Yeah. Yeah.	false	QMSum_120
Yeah.	No , that is relative. But the question is , do you average the relative improvements or do you average the error rates and take the relative improvement maybe of that ?	Yeah. Yeah.	And the thing is it 's not just a pure average because there are these weightings.	false	QMSum_120
No , that is relative. But the question is , do you average the relative improvements or do you average the error rates and take the relative improvement maybe of that ?	Yeah. Yeah.	And the thing is it 's not just a pure average because there are these weightings.	Oh.	false	QMSum_120
Yeah. Yeah.	And the thing is it 's not just a pure average because there are these weightings.	Oh.	It 's a weighted average. Um.	false	QMSum_120
And the thing is it 's not just a pure average because there are these weightings.	Oh.	It 's a weighted average. Um.	Yeah. And so when you average the the relative improvement it tends to to give a lot of of , um , importance to the well - matched case because the baseline is already very good and , um , i it 's	false	QMSum_120
Oh.	It 's a weighted average. Um.	Yeah. And so when you average the the relative improvement it tends to to give a lot of of , um , importance to the well - matched case because the baseline is already very good and , um , i it 's	Why don't they not look at improvements but just look at your av your scores ? You know , figure out how to combine the scores	false	QMSum_120
It 's a weighted average. Um.	Yeah. And so when you average the the relative improvement it tends to to give a lot of of , um , importance to the well - matched case because the baseline is already very good and , um , i it 's	Why don't they not look at improvements but just look at your av your scores ? You know , figure out how to combine the scores	Mm - hmm.	false	QMSum_120
Yeah. And so when you average the the relative improvement it tends to to give a lot of of , um , importance to the well - matched case because the baseline is already very good and , um , i it 's	Why don't they not look at improvements but just look at your av your scores ? You know , figure out how to combine the scores	Mm - hmm.	with a weight or whatever , and then give you a score here 's your score. And then they can do the same thing for the baseline system and here 's its score. And then you can look at	false	QMSum_120
Why don't they not look at improvements but just look at your av your scores ? You know , figure out how to combine the scores	Mm - hmm.	with a weight or whatever , and then give you a score here 's your score. And then they can do the same thing for the baseline system and here 's its score. And then you can look at	Mm - hmm.	false	QMSum_120
Mm - hmm.	with a weight or whatever , and then give you a score here 's your score. And then they can do the same thing for the baseline system and here 's its score. And then you can look at	Mm - hmm.	Well , that 's what he 's seeing as one of the things they could do.	false	QMSum_120
with a weight or whatever , and then give you a score here 's your score. And then they can do the same thing for the baseline system and here 's its score. And then you can look at	Mm - hmm.	Well , that 's what he 's seeing as one of the things they could do.	Yeah.	false	QMSum_120
Mm - hmm.	Well , that 's what he 's seeing as one of the things they could do.	Yeah.	It 's just when you when you get all done , I think that they pro I m I I wasn't there but I think they started off this process with the notion that you should be significantly better than the previous standard.	false	QMSum_120
Well , that 's what he 's seeing as one of the things they could do.	Yeah.	It 's just when you when you get all done , I think that they pro I m I I wasn't there but I think they started off this process with the notion that you should be significantly better than the previous standard.	Mm - hmm.	false	QMSum_120
Yeah.	It 's just when you when you get all done , I think that they pro I m I I wasn't there but I think they started off this process with the notion that you should be significantly better than the previous standard.	Mm - hmm.	And , um , so they said " how much is significantly better ? what do you ? " And and so they said " well , you know , you should have half the errors , " or something , " that you had before ".	false	QMSum_120
It 's just when you when you get all done , I think that they pro I m I I wasn't there but I think they started off this process with the notion that you should be significantly better than the previous standard.	Mm - hmm.	And , um , so they said " how much is significantly better ? what do you ? " And and so they said " well , you know , you should have half the errors , " or something , " that you had before ".	Mm - hmm. Hmm.	false	QMSum_120
Mm - hmm.	And , um , so they said " how much is significantly better ? what do you ? " And and so they said " well , you know , you should have half the errors , " or something , " that you had before ".	Mm - hmm. Hmm.	Mm - hmm.	false	QMSum_120
And , um , so they said " how much is significantly better ? what do you ? " And and so they said " well , you know , you should have half the errors , " or something , " that you had before ".	Mm - hmm. Hmm.	Mm - hmm.	Yeah.	false	QMSum_120
Mm - hmm. Hmm.	Mm - hmm.	Yeah.	So it 's , uh , But it does seem like	false	QMSum_120
Mm - hmm.	Yeah.	So it 's , uh , But it does seem like	Hmm.	false	QMSum_120
Yeah.	So it 's , uh , But it does seem like	Hmm.	i i it does seem like it 's more logical to combine them first and then do the	false	QMSum_120
So it 's , uh , But it does seem like	Hmm.	i i it does seem like it 's more logical to combine them first and then do the	Combine error rates and then	false	QMSum_120
Hmm.	i i it does seem like it 's more logical to combine them first and then do the	Combine error rates and then	Yeah.	false	QMSum_120
i i it does seem like it 's more logical to combine them first and then do the	Combine error rates and then	Yeah.	Yeah. Well	false	QMSum_120
Combine error rates and then	Yeah.	Yeah. Well	Yeah.	false	QMSum_120
Yeah.	Yeah. Well	Yeah.	But there is this this is this still this problem of weights. When when you combine error rate it tends to give more importance to the difficult cases , and some people think that	false	QMSum_120
Yeah. Well	Yeah.	But there is this this is this still this problem of weights. When when you combine error rate it tends to give more importance to the difficult cases , and some people think that	Oh , yeah ?	false	QMSum_120
Yeah.	But there is this this is this still this problem of weights. When when you combine error rate it tends to give more importance to the difficult cases , and some people think that	Oh , yeah ?	well , they have different , um , opinions about this. Some people think that it 's more important to look at to have ten percent imp relative improvement on well - matched case than to have fifty percent on the m mismatched , and other people think that it 's more important to improve a lot on the mismatch and So , bu	false	QMSum_120
But there is this this is this still this problem of weights. When when you combine error rate it tends to give more importance to the difficult cases , and some people think that	Oh , yeah ?	well , they have different , um , opinions about this. Some people think that it 's more important to look at to have ten percent imp relative improvement on well - matched case than to have fifty percent on the m mismatched , and other people think that it 's more important to improve a lot on the mismatch and So , bu	It sounds like they don't really have a good idea about what the final application is gonna be.	false	QMSum_120
Oh , yeah ?	well , they have different , um , opinions about this. Some people think that it 's more important to look at to have ten percent imp relative improvement on well - matched case than to have fifty percent on the m mismatched , and other people think that it 's more important to improve a lot on the mismatch and So , bu	It sounds like they don't really have a good idea about what the final application is gonna be.	l de fff ! Mmm.	false	QMSum_120
well , they have different , um , opinions about this. Some people think that it 's more important to look at to have ten percent imp relative improvement on well - matched case than to have fifty percent on the m mismatched , and other people think that it 's more important to improve a lot on the mismatch and So , bu	It sounds like they don't really have a good idea about what the final application is gonna be.	l de fff ! Mmm.	Well , you know , the the thing is that if you look at the numbers on the on the more difficult cases , um , if you really believe that was gonna be the predominant use , none of this would be good enough.	false	QMSum_120
It sounds like they don't really have a good idea about what the final application is gonna be.	l de fff ! Mmm.	Well , you know , the the thing is that if you look at the numbers on the on the more difficult cases , um , if you really believe that was gonna be the predominant use , none of this would be good enough.	Yeah. Mmm. Yeah.	false	QMSum_120
l de fff ! Mmm.	Well , you know , the the thing is that if you look at the numbers on the on the more difficult cases , um , if you really believe that was gonna be the predominant use , none of this would be good enough.	Yeah. Mmm. Yeah.	Nothing anybody 's	false	QMSum_120
Well , you know , the the thing is that if you look at the numbers on the on the more difficult cases , um , if you really believe that was gonna be the predominant use , none of this would be good enough.	Yeah. Mmm. Yeah.	Nothing anybody 's	Mm - hmm.	false	QMSum_120
Yeah. Mmm. Yeah.	Nothing anybody 's	Mm - hmm.	whereas you sort of with some reasonable error recovery could imagine in the better cases that these these systems working. So , um , I think the hope would be that it would uh , it would work well for the good cases and , uh , it would have reasonable reas soft degradation as you got to worse and worse conditions. Um.	false	QMSum_120
Nothing anybody 's	Mm - hmm.	whereas you sort of with some reasonable error recovery could imagine in the better cases that these these systems working. So , um , I think the hope would be that it would uh , it would work well for the good cases and , uh , it would have reasonable reas soft degradation as you got to worse and worse conditions. Um.	Yeah. I I guess what I 'm I mean , I I was thinking about it in terms of , if I were building the final product and I was gonna test to see which front - end I 'd I wanted to use , I would try to weight things depending on the exact environment that I was gonna be using the system in.	false	QMSum_120
Mm - hmm.	whereas you sort of with some reasonable error recovery could imagine in the better cases that these these systems working. So , um , I think the hope would be that it would uh , it would work well for the good cases and , uh , it would have reasonable reas soft degradation as you got to worse and worse conditions. Um.	Yeah. I I guess what I 'm I mean , I I was thinking about it in terms of , if I were building the final product and I was gonna test to see which front - end I 'd I wanted to use , I would try to weight things depending on the exact environment that I was gonna be using the system in.	But but No.	false	QMSum_120
whereas you sort of with some reasonable error recovery could imagine in the better cases that these these systems working. So , um , I think the hope would be that it would uh , it would work well for the good cases and , uh , it would have reasonable reas soft degradation as you got to worse and worse conditions. Um.	Yeah. I I guess what I 'm I mean , I I was thinking about it in terms of , if I were building the final product and I was gonna test to see which front - end I 'd I wanted to use , I would try to weight things depending on the exact environment that I was gonna be using the system in.	But but No.	If I	false	QMSum_120
Yeah. I I guess what I 'm I mean , I I was thinking about it in terms of , if I were building the final product and I was gonna test to see which front - end I 'd I wanted to use , I would try to weight things depending on the exact environment that I was gonna be using the system in.	But but No.	If I	Well , no well , no. I mean , it isn't the operating theater. I mean , they don they they don't they don't really know , I think.	false	QMSum_120

Yeah. In fact , you could do something like keep exactly the same procedure and then add a fifth thing onto it

Mm - hmm.

that had more.

Exactly.

false

QMSum_120

Mm - hmm.

that had more.

Exactly.

Yeah.

false

QMSum_120

that had more.

Exactly.

Yeah.

Right. Right.

false

QMSum_120

Exactly.

Yeah.

Right. Right.

So at at the middle o where the arrows are showing , that 's you 're adding one more mixture per state ,

false

QMSum_120

Yeah.

Right. Right.

So at at the middle o where the arrows are showing , that 's you 're adding one more mixture per state ,

Uh - huh. Uh ,

false

QMSum_120

Right. Right.

So at at the middle o where the arrows are showing , that 's you 're adding one more mixture per state ,

Uh - huh. Uh ,

or ?

false

QMSum_120

So at at the middle o where the arrows are showing , that 's you 're adding one more mixture per state ,

Uh - huh. Uh ,

or ?

let 's see , uh. It goes from this uh , try to go it backwards this at this point it 's two mixtures per state. So this just adds one. Except that , uh , actually for the silence model , it 's six mixtures per state.

false

QMSum_120

Uh - huh. Uh ,

or ?

let 's see , uh. It goes from this uh , try to go it backwards this at this point it 's two mixtures per state. So this just adds one. Except that , uh , actually for the silence model , it 's six mixtures per state.

Mm - hmm.

false

QMSum_120

or ?

let 's see , uh. It goes from this uh , try to go it backwards this at this point it 's two mixtures per state. So this just adds one. Except that , uh , actually for the silence model , it 's six mixtures per state.

Mm - hmm.

Uh , so it goes to two.

false

QMSum_120

let 's see , uh. It goes from this uh , try to go it backwards this at this point it 's two mixtures per state. So this just adds one. Except that , uh , actually for the silence model , it 's six mixtures per state.

Mm - hmm.

Uh , so it goes to two.

OK.

false

QMSum_120

Mm - hmm.

Uh , so it goes to two.

OK.

Um. And I think what happens here is

false

QMSum_120

Uh , so it goes to two.

OK.

Um. And I think what happens here is

Might be between , uh , shared , uh shared variances or something ,

false

QMSum_120

OK.

Um. And I think what happens here is

Might be between , uh , shared , uh shared variances or something ,

Yeah. I think that 's what it is.

false

QMSum_120

Um. And I think what happens here is

Might be between , uh , shared , uh shared variances or something ,

Yeah. I think that 's what it is.

or

false

QMSum_120

Might be between , uh , shared , uh shared variances or something ,

Yeah. I think that 's what it is.

or

Uh , yeah. It 's , uh Shoot. I I I can't remember now what happens at that first one. Uh , I have to look it up and see.

false

QMSum_120

Yeah. I think that 's what it is.

or

Uh , yeah. It 's , uh Shoot. I I I can't remember now what happens at that first one. Uh , I have to look it up and see.

Oh , OK.

false

QMSum_120

or

Uh , yeah. It 's , uh Shoot. I I I can't remember now what happens at that first one. Uh , I have to look it up and see.

Oh , OK.

Um , there because they start off with , uh , an initial model which is just this global model , and then they split it to the individuals. And so , it may be that that 's what 's happening here. I I I have to look it up and see. I I don't exactly remember.

false

QMSum_120

Uh , yeah. It 's , uh Shoot. I I I can't remember now what happens at that first one. Uh , I have to look it up and see.

Oh , OK.

Um , there because they start off with , uh , an initial model which is just this global model , and then they split it to the individuals. And so , it may be that that 's what 's happening here. I I I have to look it up and see. I I don't exactly remember.

OK.

false

QMSum_120

Oh , OK.

Um , there because they start off with , uh , an initial model which is just this global model , and then they split it to the individuals. And so , it may be that that 's what 's happening here. I I I have to look it up and see. I I don't exactly remember.

OK.

false

QMSum_120

Um , there because they start off with , uh , an initial model which is just this global model , and then they split it to the individuals. And so , it may be that that 's what 's happening here. I I I have to look it up and see. I I don't exactly remember.

OK.

So. That 's it.

false

QMSum_120

OK.

So. That 's it.

Alright. So what else ?

false

QMSum_120

OK.

So. That 's it.

Alright. So what else ?

Um. Yeah. There was a conference call this Tuesday. Um. I don't know yet the what happened Tuesday , but the points that they were supposed to discuss is still , uh , things like the weights , uh

false

QMSum_120

So. That 's it.

Alright. So what else ?

Um. Yeah. There was a conference call this Tuesday. Um. I don't know yet the what happened Tuesday , but the points that they were supposed to discuss is still , uh , things like the weights , uh

Oh , this is a conference call for , uh , uh , Aurora participant sort of thing.

true

QMSum_120

Alright. So what else ?

Um. Yeah. There was a conference call this Tuesday. Um. I don't know yet the what happened Tuesday , but the points that they were supposed to discuss is still , uh , things like the weights , uh

Oh , this is a conference call for , uh , uh , Aurora participant sort of thing.

For

false

QMSum_120

Um. Yeah. There was a conference call this Tuesday. Um. I don't know yet the what happened Tuesday , but the points that they were supposed to discuss is still , uh , things like the weights , uh

Oh , this is a conference call for , uh , uh , Aurora participant sort of thing.

For

Yeah. Yeah.

false

QMSum_120

Oh , this is a conference call for , uh , uh , Aurora participant sort of thing.

For

Yeah. Yeah.

I see.

false

QMSum_120

For

Yeah. Yeah.

I see.

Mmm.

false

QMSum_120

Yeah. Yeah.

I see.

Mmm.

Do you know who was who was since we weren't in on it , uh , do you know who was in from OGI ? Was was was Hynek involved or was it Sunil

false

QMSum_120

I see.

Mmm.

Do you know who was who was since we weren't in on it , uh , do you know who was in from OGI ? Was was was Hynek involved or was it Sunil

I have no idea.

false

QMSum_120

Mmm.

Do you know who was who was since we weren't in on it , uh , do you know who was in from OGI ? Was was was Hynek involved or was it Sunil

I have no idea.

or ?

false

QMSum_120

Do you know who was who was since we weren't in on it , uh , do you know who was in from OGI ? Was was was Hynek involved or was it Sunil

I have no idea.

or ?

Mmm , I just

false

QMSum_120

I have no idea.

or ?

Mmm , I just

Oh , you don't know. OK.

false

QMSum_120

or ?

Mmm , I just

Oh , you don't know. OK.

Yeah.

false

QMSum_120

Mmm , I just

Oh , you don't know. OK.

Yeah.

Alright.

false

QMSum_120

Oh , you don't know. OK.

Yeah.

Alright.

Um , yeah. So the points were the the weights how to weight the different error rates that are obtained from different language and and conditions. Um , it 's not clear that they will keep the same kind of weighting. Right now it 's a weighting on on improvement.

false

QMSum_120

Yeah.

Alright.

Um , yeah. So the points were the the weights how to weight the different error rates that are obtained from different language and and conditions. Um , it 's not clear that they will keep the same kind of weighting. Right now it 's a weighting on on improvement.

Mm - hmm.

false

QMSum_120

Alright.

Um , yeah. So the points were the the weights how to weight the different error rates that are obtained from different language and and conditions. Um , it 's not clear that they will keep the same kind of weighting. Right now it 's a weighting on on improvement.

Mm - hmm.

Some people are arguing that it would be better to have weights on uh well , to to combine error rates before computing improvement. Uh , and the fact is that for right now for the English , they have weights they they combine error rates , but for the other languages they combine improvement. So it 's not very consistent. Um

false

QMSum_120

Um , yeah. So the points were the the weights how to weight the different error rates that are obtained from different language and and conditions. Um , it 's not clear that they will keep the same kind of weighting. Right now it 's a weighting on on improvement.

Mm - hmm.

Some people are arguing that it would be better to have weights on uh well , to to combine error rates before computing improvement. Uh , and the fact is that for right now for the English , they have weights they they combine error rates , but for the other languages they combine improvement. So it 's not very consistent. Um

Mm - hmm.

false

QMSum_120

Mm - hmm.

Some people are arguing that it would be better to have weights on uh well , to to combine error rates before computing improvement. Uh , and the fact is that for right now for the English , they have weights they they combine error rates , but for the other languages they combine improvement. So it 's not very consistent. Um

Mm - hmm.

Yeah. The , um Yeah. And so Well , this is a point. And right now actually there is a thing also , uh , that happens with the current weight is that a very non - significant improvement on the well - matched case result in huge differences in in the final number.

false

QMSum_120

Some people are arguing that it would be better to have weights on uh well , to to combine error rates before computing improvement. Uh , and the fact is that for right now for the English , they have weights they they combine error rates , but for the other languages they combine improvement. So it 's not very consistent. Um

Mm - hmm.

Yeah. The , um Yeah. And so Well , this is a point. And right now actually there is a thing also , uh , that happens with the current weight is that a very non - significant improvement on the well - matched case result in huge differences in in the final number.

Mm - hmm.

false

QMSum_120

Mm - hmm.

Yeah. The , um Yeah. And so Well , this is a point. And right now actually there is a thing also , uh , that happens with the current weight is that a very non - significant improvement on the well - matched case result in huge differences in in the final number.

Mm - hmm.

And so , perhaps they will change the weights to

false

QMSum_120

Yeah. The , um Yeah. And so Well , this is a point. And right now actually there is a thing also , uh , that happens with the current weight is that a very non - significant improvement on the well - matched case result in huge differences in in the final number.

Mm - hmm.

And so , perhaps they will change the weights to

Hmm.

false

QMSum_120

Mm - hmm.

And so , perhaps they will change the weights to

Hmm.

Yeah.

false

QMSum_120

And so , perhaps they will change the weights to

Hmm.

Yeah.

How should that be done ? I mean , it it seems like there 's a simple way

false

QMSum_120

Hmm.

Yeah.

How should that be done ? I mean , it it seems like there 's a simple way

Mm - hmm.

false

QMSum_120

Yeah.

How should that be done ? I mean , it it seems like there 's a simple way

Mm - hmm.

Uh , this seems like an obvious mistake or something.

false

QMSum_120

How should that be done ? I mean , it it seems like there 's a simple way

Mm - hmm.

Uh , this seems like an obvious mistake or something.

Well , I mean , the fact that it 's inconsistent is an obvious mistake.

false

QMSum_120

Mm - hmm.

Uh , this seems like an obvious mistake or something.

Well , I mean , the fact that it 's inconsistent is an obvious mistake.

Th - they 're

false

QMSum_120

Uh , this seems like an obvious mistake or something.

Well , I mean , the fact that it 's inconsistent is an obvious mistake.

Th - they 're

But the but , um , the other thing

false

QMSum_120

Well , I mean , the fact that it 's inconsistent is an obvious mistake.

Th - they 're

But the but , um , the other thing

In

false

QMSum_120

Th - they 're

But the but , um , the other thing

In

I don't know I haven't thought it through , but one one would think that each It it 's like if you say what 's the what 's the best way to do an average , an arithmetic average or a geometric average ?

false

QMSum_120

But the but , um , the other thing

In

I don't know I haven't thought it through , but one one would think that each It it 's like if you say what 's the what 's the best way to do an average , an arithmetic average or a geometric average ?

Mm - hmm.

false

QMSum_120

In

I don't know I haven't thought it through , but one one would think that each It it 's like if you say what 's the what 's the best way to do an average , an arithmetic average or a geometric average ?

Mm - hmm.

It depends what you wanna show.

false

QMSum_120

I don't know I haven't thought it through , but one one would think that each It it 's like if you say what 's the what 's the best way to do an average , an arithmetic average or a geometric average ?

Mm - hmm.

It depends what you wanna show.

Mm - hmm.

false

QMSum_120

Mm - hmm.

It depends what you wanna show.

Mm - hmm.

Each each one is gonna have a different characteristic.

false

QMSum_120

It depends what you wanna show.

Mm - hmm.

Each each one is gonna have a different characteristic.

Yeah.

false

QMSum_120

Mm - hmm.

Each each one is gonna have a different characteristic.

Yeah.

So

false

QMSum_120

Each each one is gonna have a different characteristic.

Yeah.

So

Well , it seems like they should do , like , the percentage improvement or something , rather than the absolute improvement.

false

QMSum_120

Yeah.

So

Well , it seems like they should do , like , the percentage improvement or something , rather than the absolute improvement.

Tha - that 's what they do.

false

QMSum_120

So

Well , it seems like they should do , like , the percentage improvement or something , rather than the absolute improvement.

Tha - that 's what they do.

Well , they are doing that.

false

QMSum_120

Well , it seems like they should do , like , the percentage improvement or something , rather than the absolute improvement.

Tha - that 's what they do.

Well , they are doing that.

Yeah.

false

QMSum_120

Tha - that 's what they do.

Well , they are doing that.

Yeah.

No , that is relative. But the question is , do you average the relative improvements or do you average the error rates and take the relative improvement maybe of that ?

false

QMSum_120

Well , they are doing that.

Yeah.

No , that is relative. But the question is , do you average the relative improvements or do you average the error rates and take the relative improvement maybe of that ?

Yeah. Yeah.

false

QMSum_120

Yeah.

No , that is relative. But the question is , do you average the relative improvements or do you average the error rates and take the relative improvement maybe of that ?

Yeah. Yeah.

And the thing is it 's not just a pure average because there are these weightings.

false

QMSum_120

No , that is relative. But the question is , do you average the relative improvements or do you average the error rates and take the relative improvement maybe of that ?

Yeah. Yeah.

And the thing is it 's not just a pure average because there are these weightings.

Oh.

false

QMSum_120

Yeah. Yeah.

And the thing is it 's not just a pure average because there are these weightings.

Oh.

It 's a weighted average. Um.

false

QMSum_120

And the thing is it 's not just a pure average because there are these weightings.

Oh.

It 's a weighted average. Um.

Yeah. And so when you average the the relative improvement it tends to to give a lot of of , um , importance to the well - matched case because the baseline is already very good and , um , i it 's

false

QMSum_120

Oh.

It 's a weighted average. Um.

Yeah. And so when you average the the relative improvement it tends to to give a lot of of , um , importance to the well - matched case because the baseline is already very good and , um , i it 's

Why don't they not look at improvements but just look at your av your scores ? You know , figure out how to combine the scores

false

QMSum_120

It 's a weighted average. Um.

Yeah. And so when you average the the relative improvement it tends to to give a lot of of , um , importance to the well - matched case because the baseline is already very good and , um , i it 's

Why don't they not look at improvements but just look at your av your scores ? You know , figure out how to combine the scores

Mm - hmm.

false

QMSum_120

Yeah. And so when you average the the relative improvement it tends to to give a lot of of , um , importance to the well - matched case because the baseline is already very good and , um , i it 's

Why don't they not look at improvements but just look at your av your scores ? You know , figure out how to combine the scores

Mm - hmm.

with a weight or whatever , and then give you a score here 's your score. And then they can do the same thing for the baseline system and here 's its score. And then you can look at

false

QMSum_120

Why don't they not look at improvements but just look at your av your scores ? You know , figure out how to combine the scores

Mm - hmm.

with a weight or whatever , and then give you a score here 's your score. And then they can do the same thing for the baseline system and here 's its score. And then you can look at

Mm - hmm.

false

QMSum_120

Mm - hmm.

with a weight or whatever , and then give you a score here 's your score. And then they can do the same thing for the baseline system and here 's its score. And then you can look at

Mm - hmm.

Well , that 's what he 's seeing as one of the things they could do.

false

QMSum_120

with a weight or whatever , and then give you a score here 's your score. And then they can do the same thing for the baseline system and here 's its score. And then you can look at

Mm - hmm.

Well , that 's what he 's seeing as one of the things they could do.

Yeah.

false

QMSum_120

Mm - hmm.

Well , that 's what he 's seeing as one of the things they could do.

Yeah.

It 's just when you when you get all done , I think that they pro I m I I wasn't there but I think they started off this process with the notion that you should be significantly better than the previous standard.

false

QMSum_120

Well , that 's what he 's seeing as one of the things they could do.

Yeah.

It 's just when you when you get all done , I think that they pro I m I I wasn't there but I think they started off this process with the notion that you should be significantly better than the previous standard.

Mm - hmm.

false

QMSum_120

Yeah.

It 's just when you when you get all done , I think that they pro I m I I wasn't there but I think they started off this process with the notion that you should be significantly better than the previous standard.

Mm - hmm.

And , um , so they said " how much is significantly better ? what do you ? " And and so they said " well , you know , you should have half the errors , " or something , " that you had before ".

false

QMSum_120

It 's just when you when you get all done , I think that they pro I m I I wasn't there but I think they started off this process with the notion that you should be significantly better than the previous standard.

Mm - hmm.

And , um , so they said " how much is significantly better ? what do you ? " And and so they said " well , you know , you should have half the errors , " or something , " that you had before ".

Mm - hmm. Hmm.

false

QMSum_120

Mm - hmm.

And , um , so they said " how much is significantly better ? what do you ? " And and so they said " well , you know , you should have half the errors , " or something , " that you had before ".

Mm - hmm. Hmm.

Mm - hmm.

false

QMSum_120

And , um , so they said " how much is significantly better ? what do you ? " And and so they said " well , you know , you should have half the errors , " or something , " that you had before ".

Mm - hmm. Hmm.

Mm - hmm.

Yeah.

false

QMSum_120

Mm - hmm. Hmm.

Mm - hmm.

Yeah.

So it 's , uh , But it does seem like

false

QMSum_120

Mm - hmm.

Yeah.

So it 's , uh , But it does seem like

Hmm.

false

QMSum_120

Yeah.

So it 's , uh , But it does seem like

Hmm.

i i it does seem like it 's more logical to combine them first and then do the

false

QMSum_120

So it 's , uh , But it does seem like

Hmm.

i i it does seem like it 's more logical to combine them first and then do the

Combine error rates and then

false

QMSum_120

Hmm.

i i it does seem like it 's more logical to combine them first and then do the

Combine error rates and then

Yeah.

false

QMSum_120

i i it does seem like it 's more logical to combine them first and then do the

Combine error rates and then

Yeah.

Yeah. Well

false

QMSum_120

Combine error rates and then

Yeah.

Yeah. Well

Yeah.

false

QMSum_120

Yeah.

Yeah. Well

Yeah.

But there is this this is this still this problem of weights. When when you combine error rate it tends to give more importance to the difficult cases , and some people think that

false

QMSum_120

Yeah. Well

Yeah.

But there is this this is this still this problem of weights. When when you combine error rate it tends to give more importance to the difficult cases , and some people think that

Oh , yeah ?

false

QMSum_120

Yeah.

But there is this this is this still this problem of weights. When when you combine error rate it tends to give more importance to the difficult cases , and some people think that

Oh , yeah ?

well , they have different , um , opinions about this. Some people think that it 's more important to look at to have ten percent imp relative improvement on well - matched case than to have fifty percent on the m mismatched , and other people think that it 's more important to improve a lot on the mismatch and So , bu

false

QMSum_120

But there is this this is this still this problem of weights. When when you combine error rate it tends to give more importance to the difficult cases , and some people think that

Oh , yeah ?

well , they have different , um , opinions about this. Some people think that it 's more important to look at to have ten percent imp relative improvement on well - matched case than to have fifty percent on the m mismatched , and other people think that it 's more important to improve a lot on the mismatch and So , bu

It sounds like they don't really have a good idea about what the final application is gonna be.

false

QMSum_120

Oh , yeah ?

well , they have different , um , opinions about this. Some people think that it 's more important to look at to have ten percent imp relative improvement on well - matched case than to have fifty percent on the m mismatched , and other people think that it 's more important to improve a lot on the mismatch and So , bu

It sounds like they don't really have a good idea about what the final application is gonna be.

l de fff ! Mmm.

false

QMSum_120

well , they have different , um , opinions about this. Some people think that it 's more important to look at to have ten percent imp relative improvement on well - matched case than to have fifty percent on the m mismatched , and other people think that it 's more important to improve a lot on the mismatch and So , bu

It sounds like they don't really have a good idea about what the final application is gonna be.

l de fff ! Mmm.

Well , you know , the the thing is that if you look at the numbers on the on the more difficult cases , um , if you really believe that was gonna be the predominant use , none of this would be good enough.

false

QMSum_120

It sounds like they don't really have a good idea about what the final application is gonna be.

l de fff ! Mmm.

Well , you know , the the thing is that if you look at the numbers on the on the more difficult cases , um , if you really believe that was gonna be the predominant use , none of this would be good enough.

Yeah. Mmm. Yeah.

false

QMSum_120

l de fff ! Mmm.

Well , you know , the the thing is that if you look at the numbers on the on the more difficult cases , um , if you really believe that was gonna be the predominant use , none of this would be good enough.

Yeah. Mmm. Yeah.

Nothing anybody 's

false

QMSum_120

Well , you know , the the thing is that if you look at the numbers on the on the more difficult cases , um , if you really believe that was gonna be the predominant use , none of this would be good enough.

Yeah. Mmm. Yeah.

Nothing anybody 's

Mm - hmm.

false

QMSum_120

Yeah. Mmm. Yeah.

Nothing anybody 's

Mm - hmm.

whereas you sort of with some reasonable error recovery could imagine in the better cases that these these systems working. So , um , I think the hope would be that it would uh , it would work well for the good cases and , uh , it would have reasonable reas soft degradation as you got to worse and worse conditions. Um.

false

QMSum_120

Nothing anybody 's

Mm - hmm.

whereas you sort of with some reasonable error recovery could imagine in the better cases that these these systems working. So , um , I think the hope would be that it would uh , it would work well for the good cases and , uh , it would have reasonable reas soft degradation as you got to worse and worse conditions. Um.

Yeah. I I guess what I 'm I mean , I I was thinking about it in terms of , if I were building the final product and I was gonna test to see which front - end I 'd I wanted to use , I would try to weight things depending on the exact environment that I was gonna be using the system in.

false

QMSum_120

Mm - hmm.

whereas you sort of with some reasonable error recovery could imagine in the better cases that these these systems working. So , um , I think the hope would be that it would uh , it would work well for the good cases and , uh , it would have reasonable reas soft degradation as you got to worse and worse conditions. Um.

Yeah. I I guess what I 'm I mean , I I was thinking about it in terms of , if I were building the final product and I was gonna test to see which front - end I 'd I wanted to use , I would try to weight things depending on the exact environment that I was gonna be using the system in.

But but No.

false

QMSum_120

whereas you sort of with some reasonable error recovery could imagine in the better cases that these these systems working. So , um , I think the hope would be that it would uh , it would work well for the good cases and , uh , it would have reasonable reas soft degradation as you got to worse and worse conditions. Um.

Yeah. I I guess what I 'm I mean , I I was thinking about it in terms of , if I were building the final product and I was gonna test to see which front - end I 'd I wanted to use , I would try to weight things depending on the exact environment that I was gonna be using the system in.

But but No.

If I

false

QMSum_120

Yeah. I I guess what I 'm I mean , I I was thinking about it in terms of , if I were building the final product and I was gonna test to see which front - end I 'd I wanted to use , I would try to weight things depending on the exact environment that I was gonna be using the system in.

But but No.

If I

Well , no well , no. I mean , it isn't the operating theater. I mean , they don they they don't they don't really know , I think.

false

QMSum_120