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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.

QMSum_120

Mm - hmm.

that had more.

Exactly.

Yeah.

QMSum_120

that had more.

Exactly.

Yeah.

Right. Right.

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 ,

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 ,

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 ?

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.

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.

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.

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.

QMSum_120

Mm - hmm.

Uh , so it goes to two.

OK.

Um. And I think what happens here is

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 ,

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.

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

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.

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.

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.

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.

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.

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.

QMSum_120

OK.

OK.

So. That 's it.

Alright. So what else ?

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

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.

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

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.

QMSum_120

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

For

Yeah. Yeah.

I see.

QMSum_120

For

Yeah. Yeah.

I see.

Mmm.

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

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.

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 ?

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

QMSum_120

I have no idea.

or ?

Mmm , I just

Oh , you don't know. OK.

QMSum_120

or ?

Mmm , I just

Oh , you don't know. OK.

Yeah.

QMSum_120

Mmm , I just

Oh , you don't know. OK.

Yeah.

Alright.

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.

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.

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

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.

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.

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.

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

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.

QMSum_120

Mm - hmm.

And so , perhaps they will change the weights to

Hmm.

Yeah.

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

QMSum_120

Hmm.

Yeah.

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

Mm - hmm.

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.

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.

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

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

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

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 ?

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.

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.

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.

QMSum_120

Mm - hmm.

It depends what you wanna show.

Mm - hmm.

Each each one is gonna have a different characteristic.

QMSum_120

It depends what you wanna show.

Mm - hmm.

Each each one is gonna have a different characteristic.

Yeah.

QMSum_120

Mm - hmm.

Each each one is gonna have a different characteristic.

Yeah.

So

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.

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.

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.

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.

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 ?

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.

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.

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.

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.

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

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

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.

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

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.

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.

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.

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.

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.

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 ".

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.

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.

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.

QMSum_120

Mm - hmm. Hmm.

Mm - hmm.

Yeah.

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

QMSum_120

Mm - hmm.

Yeah.

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

Hmm.

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

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

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.

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

QMSum_120

Combine error rates and then

Yeah.

Yeah. Well

Yeah.

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

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 ?

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

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.

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.

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.

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.

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

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.

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.

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.

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.

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

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.

QMSum_120