elplaguister/DTS_pair_datasets · Datasets at Hugging Face

prev1 stringlengths 1 7.9k	prev2 stringlengths 1 7.9k ⌀	next1 stringlengths 1 7.9k	next2 stringlengths 1 7.9k ⌀	is_boundary bool 2 classes	session_id stringlengths 7 14
So , I	A week ,	Huh. I I guessed that they were gonna do it some time during the semester	week and a half.	false	QMSum_194
A week ,	Huh. I I guessed that they were gonna do it some time during the semester	week and a half.	but they 'll do it any time , huh ?	false	QMSum_194
Huh. I I guessed that they were gonna do it some time during the semester	week and a half.	but they 'll do it any time , huh ?	They seem to be Well , the semester actually is starting up.	false	QMSum_194
week and a half.	but they 'll do it any time , huh ?	They seem to be Well , the semester actually is starting up.	Is it already ?	false	QMSum_194
but they 'll do it any time , huh ?	They seem to be Well , the semester actually is starting up.	Is it already ?	Yeah , the semester 's late late August they start here.	false	QMSum_194
They seem to be Well , the semester actually is starting up.	Is it already ?	Yeah , the semester 's late late August they start here.	Yikes.	false	QMSum_194
Is it already ?	Yeah , the semester 's late late August they start here.	Yikes.	So they do it right at the beginning of the semester.	false	QMSum_194
Yeah , the semester 's late late August they start here.	Yikes.	So they do it right at the beginning of the semester.	Yeah.	false	QMSum_194
Yikes.	So they do it right at the beginning of the semester.	Yeah.	Yeah. So , uh Yep. I mean , that that was sort of one I mean , the overall results seemed to be first place in in in the case of either , um , artificial reverberation or a modest sized training set. Uh , either way , uh , i uh , it helped a lot. And But if you had a a really big training set , a recognizer , uh , system that was capable of taking advantage of a really large training set I thought that One thing with the HTK is that is has the as we 're using the configuration we 're using is w s is being bound by the terms of Aurora , we have all those parameters just set as they are. So even if we had a hundred times as much data , we wouldn't go out to , you know , ten or t or a hundred times as many Gaussians or anything. So , um , it 's kind of hard to take advantage of of of big chunks of data. Uh , whereas the other one does sort of expand as you have more training data.	false	QMSum_194
So they do it right at the beginning of the semester.	Yeah.	Yeah. So , uh Yep. I mean , that that was sort of one I mean , the overall results seemed to be first place in in in the case of either , um , artificial reverberation or a modest sized training set. Uh , either way , uh , i uh , it helped a lot. And But if you had a a really big training set , a recognizer , uh , system that was capable of taking advantage of a really large training set I thought that One thing with the HTK is that is has the as we 're using the configuration we 're using is w s is being bound by the terms of Aurora , we have all those parameters just set as they are. So even if we had a hundred times as much data , we wouldn't go out to , you know , ten or t or a hundred times as many Gaussians or anything. So , um , it 's kind of hard to take advantage of of of big chunks of data. Uh , whereas the other one does sort of expand as you have more training data.	Mm - hmm.	false	QMSum_194
Yeah.	Yeah. So , uh Yep. I mean , that that was sort of one I mean , the overall results seemed to be first place in in in the case of either , um , artificial reverberation or a modest sized training set. Uh , either way , uh , i uh , it helped a lot. And But if you had a a really big training set , a recognizer , uh , system that was capable of taking advantage of a really large training set I thought that One thing with the HTK is that is has the as we 're using the configuration we 're using is w s is being bound by the terms of Aurora , we have all those parameters just set as they are. So even if we had a hundred times as much data , we wouldn't go out to , you know , ten or t or a hundred times as many Gaussians or anything. So , um , it 's kind of hard to take advantage of of of big chunks of data. Uh , whereas the other one does sort of expand as you have more training data.	Mm - hmm.	Mmm , yeah.	false	QMSum_194
Yeah. So , uh Yep. I mean , that that was sort of one I mean , the overall results seemed to be first place in in in the case of either , um , artificial reverberation or a modest sized training set. Uh , either way , uh , i uh , it helped a lot. And But if you had a a really big training set , a recognizer , uh , system that was capable of taking advantage of a really large training set I thought that One thing with the HTK is that is has the as we 're using the configuration we 're using is w s is being bound by the terms of Aurora , we have all those parameters just set as they are. So even if we had a hundred times as much data , we wouldn't go out to , you know , ten or t or a hundred times as many Gaussians or anything. So , um , it 's kind of hard to take advantage of of of big chunks of data. Uh , whereas the other one does sort of expand as you have more training data.	Mm - hmm.	Mmm , yeah.	It does it automatically , actually. And so , um , uh , that one really benefited from the larger set. And it was also a diverse set with different noises and so forth. Uh , so , um , that , uh that seemed to be So , if you have that that better recognizer that can that can build up more parameters , and if you , um , have the natural room , which in this case has a p a pretty bad signal - to - noise ratio , then in that case , um , the right thing to do is just do u use speaker adaptation. And and not bother with with this acoustic , uh , processing. But I think that that would not be true if we did some explicit noise - processing as well as , uh , the convolutional kind of things we were doing.	false	QMSum_194
Mm - hmm.	Mmm , yeah.	It does it automatically , actually. And so , um , uh , that one really benefited from the larger set. And it was also a diverse set with different noises and so forth. Uh , so , um , that , uh that seemed to be So , if you have that that better recognizer that can that can build up more parameters , and if you , um , have the natural room , which in this case has a p a pretty bad signal - to - noise ratio , then in that case , um , the right thing to do is just do u use speaker adaptation. And and not bother with with this acoustic , uh , processing. But I think that that would not be true if we did some explicit noise - processing as well as , uh , the convolutional kind of things we were doing.	Mm - hmm.	false	QMSum_194
Mmm , yeah.	It does it automatically , actually. And so , um , uh , that one really benefited from the larger set. And it was also a diverse set with different noises and so forth. Uh , so , um , that , uh that seemed to be So , if you have that that better recognizer that can that can build up more parameters , and if you , um , have the natural room , which in this case has a p a pretty bad signal - to - noise ratio , then in that case , um , the right thing to do is just do u use speaker adaptation. And and not bother with with this acoustic , uh , processing. But I think that that would not be true if we did some explicit noise - processing as well as , uh , the convolutional kind of things we were doing.	Mm - hmm.	So. That 's sort of what we found.	false	QMSum_194
It does it automatically , actually. And so , um , uh , that one really benefited from the larger set. And it was also a diverse set with different noises and so forth. Uh , so , um , that , uh that seemed to be So , if you have that that better recognizer that can that can build up more parameters , and if you , um , have the natural room , which in this case has a p a pretty bad signal - to - noise ratio , then in that case , um , the right thing to do is just do u use speaker adaptation. And and not bother with with this acoustic , uh , processing. But I think that that would not be true if we did some explicit noise - processing as well as , uh , the convolutional kind of things we were doing.	Mm - hmm.	So. That 's sort of what we found.	Hmm.	false	QMSum_194
Mm - hmm.	So. That 's sort of what we found.	Hmm.	I , um uh , started working on the uh Mississippi State recognizer. So , I got in touch with Joe and and , uh , from your email and things like that.	false	QMSum_194
So. That 's sort of what we found.	Hmm.	I , um uh , started working on the uh Mississippi State recognizer. So , I got in touch with Joe and and , uh , from your email and things like that.	Oh , OK.	false	QMSum_194
Hmm.	I , um uh , started working on the uh Mississippi State recognizer. So , I got in touch with Joe and and , uh , from your email and things like that.	Oh , OK.	And , uh , they added me to the list uh , the mailing list.	false	QMSum_194
I , um uh , started working on the uh Mississippi State recognizer. So , I got in touch with Joe and and , uh , from your email and things like that.	Oh , OK.	And , uh , they added me to the list uh , the mailing list.	OK , great.	false	QMSum_194
Oh , OK.	And , uh , they added me to the list uh , the mailing list.	OK , great.	And he gave me all of the pointers and everything that I needed. And so I downloaded the , um There were two things , uh , that they had to download. One was the , uh , I guess the software. And another wad was a , um , sort of like a sample a sample run. So I downloaded the software and compiled all of that. And it compiled fine.	false	QMSum_194
And , uh , they added me to the list uh , the mailing list.	OK , great.	And he gave me all of the pointers and everything that I needed. And so I downloaded the , um There were two things , uh , that they had to download. One was the , uh , I guess the software. And another wad was a , um , sort of like a sample a sample run. So I downloaded the software and compiled all of that. And it compiled fine.	Eight.	false	QMSum_194
OK , great.	And he gave me all of the pointers and everything that I needed. And so I downloaded the , um There were two things , uh , that they had to download. One was the , uh , I guess the software. And another wad was a , um , sort of like a sample a sample run. So I downloaded the software and compiled all of that. And it compiled fine.	Eight.	No problems.	false	QMSum_194
And he gave me all of the pointers and everything that I needed. And so I downloaded the , um There were two things , uh , that they had to download. One was the , uh , I guess the software. And another wad was a , um , sort of like a sample a sample run. So I downloaded the software and compiled all of that. And it compiled fine.	Eight.	No problems.	Oh , eh , great.	false	QMSum_194
Eight.	No problems.	Oh , eh , great.	And , um , I grabbed the sample stuff but I haven't , uh , compiled it.	false	QMSum_194
No problems.	Oh , eh , great.	And , um , I grabbed the sample stuff but I haven't , uh , compiled it.	That sample was released only yesterday or the day before , right ?	false	QMSum_194
Oh , eh , great.	And , um , I grabbed the sample stuff but I haven't , uh , compiled it.	That sample was released only yesterday or the day before , right ?	No Well , I haven't grabbed that one yet. So there 's two.	false	QMSum_194
And , um , I grabbed the sample stuff but I haven't , uh , compiled it.	That sample was released only yesterday or the day before , right ?	No Well , I haven't grabbed that one yet. So there 's two.	Oh , there is another short sample set	false	QMSum_194
That sample was released only yesterday or the day before , right ?	No Well , I haven't grabbed that one yet. So there 's two.	Oh , there is another short sample set	There was another short one , yeah.	false	QMSum_194
No Well , I haven't grabbed that one yet. So there 's two.	Oh , there is another short sample set	There was another short one , yeah.	o o sample.	false	QMSum_194
Oh , there is another short sample set	There was another short one , yeah.	o o sample.	And so I haven't grabbed the latest one that he just , uh , put out yet.	false	QMSum_194
There was another short one , yeah.	o o sample.	And so I haven't grabbed the latest one that he just , uh , put out yet.	OK. Oh , OK. F Yeah , OK.	false	QMSum_194
o o sample.	And so I haven't grabbed the latest one that he just , uh , put out yet.	OK. Oh , OK. F Yeah , OK.	So. Um , but , the software seemed to compile fine and everything , so. And , um , So.	false	QMSum_194
And so I haven't grabbed the latest one that he just , uh , put out yet.	OK. Oh , OK. F Yeah , OK.	So. Um , but , the software seemed to compile fine and everything , so. And , um , So.	Is there any word yet about the issues about , um , adjustments for different feature sets or anything ?	false	QMSum_194
OK. Oh , OK. F Yeah , OK.	So. Um , but , the software seemed to compile fine and everything , so. And , um , So.	Is there any word yet about the issues about , um , adjustments for different feature sets or anything ?	No , I I d You asked me to write to him and I think I forgot to ask him about that. Or if I did ask him , he didn't reply.	false	QMSum_194
So. Um , but , the software seemed to compile fine and everything , so. And , um , So.	Is there any word yet about the issues about , um , adjustments for different feature sets or anything ?	No , I I d You asked me to write to him and I think I forgot to ask him about that. Or if I did ask him , he didn't reply.	Yeah.	false	QMSum_194
Is there any word yet about the issues about , um , adjustments for different feature sets or anything ?	No , I I d You asked me to write to him and I think I forgot to ask him about that. Or if I did ask him , he didn't reply.	Yeah.	I I don't remember yet. Uh , I 'll I 'll d I 'll double check that and ask him again.	false	QMSum_194
No , I I d You asked me to write to him and I think I forgot to ask him about that. Or if I did ask him , he didn't reply.	Yeah.	I I don't remember yet. Uh , I 'll I 'll d I 'll double check that and ask him again.	Yeah. Yeah , it 's like that that could r turn out to be an important issue for us.	false	QMSum_194
Yeah.	I I don't remember yet. Uh , I 'll I 'll d I 'll double check that and ask him again.	Yeah. Yeah , it 's like that that could r turn out to be an important issue for us.	Hmm. Mmm.	false	QMSum_194
I I don't remember yet. Uh , I 'll I 'll d I 'll double check that and ask him again.	Yeah. Yeah , it 's like that that could r turn out to be an important issue for us.	Hmm. Mmm.	Yeah. Yeah.	false	QMSum_194
Yeah. Yeah , it 's like that that could r turn out to be an important issue for us.	Hmm. Mmm.	Yeah. Yeah.	Yeah.	false	QMSum_194
Hmm. Mmm.	Yeah. Yeah.	Yeah.	Cuz they have it	false	QMSum_194
Yeah. Yeah.	Yeah.	Cuz they have it	Maybe I 'll send it to the list. Yeah.	false	QMSum_194
Yeah.	Cuz they have it	Maybe I 'll send it to the list. Yeah.	Cuz they have , uh , already frozen those in i insertion penalties and all those stuff is what I feel. Because they have this document explaining the recognizer.	false	QMSum_194
Cuz they have it	Maybe I 'll send it to the list. Yeah.	Cuz they have , uh , already frozen those in i insertion penalties and all those stuff is what I feel. Because they have this document explaining the recognizer.	Uh - huh.	false	QMSum_194
Maybe I 'll send it to the list. Yeah.	Cuz they have , uh , already frozen those in i insertion penalties and all those stuff is what I feel. Because they have this document explaining the recognizer.	Uh - huh.	And they have these tables with , uh , various language model weights , insertion penalties.	false	QMSum_194
Cuz they have , uh , already frozen those in i insertion penalties and all those stuff is what I feel. Because they have this document explaining the recognizer.	Uh - huh.	And they have these tables with , uh , various language model weights , insertion penalties.	OK , I haven't seen that one yet.	false	QMSum_194
Uh - huh.	And they have these tables with , uh , various language model weights , insertion penalties.	OK , I haven't seen that one yet.	So.	false	QMSum_194
And they have these tables with , uh , various language model weights , insertion penalties.	OK , I haven't seen that one yet.	So.	Uh , it 's th it 's there on that web.	false	QMSum_194
OK , I haven't seen that one yet.	So.	Uh , it 's th it 's there on that web.	OK.	false	QMSum_194
So.	Uh , it 's th it 's there on that web.	OK.	And , uh , on that , I mean , they have run some experiments using various insertion penalties and all those	false	QMSum_194
Uh , it 's th it 's there on that web.	OK.	And , uh , on that , I mean , they have run some experiments using various insertion penalties and all those	And so they 've picked the values.	false	QMSum_194
OK.	And , uh , on that , I mean , they have run some experiments using various insertion penalties and all those	And so they 've picked the values.	Yeah , I think they pi p	false	QMSum_194
And , uh , on that , I mean , they have run some experiments using various insertion penalties and all those	And so they 've picked the values.	Yeah , I think they pi p	Oh , OK.	false	QMSum_194
And so they 've picked the values.	Yeah , I think they pi p	Oh , OK.	yeah , they picked the values from	false	QMSum_194
Yeah , I think they pi p	Oh , OK.	yeah , they picked the values from	OK.	false	QMSum_194
Oh , OK.	yeah , they picked the values from	OK.	For r w what test set ?	false	QMSum_194
yeah , they picked the values from	OK.	For r w what test set ?	Uh , p the one that they have reported is a NIST evaluation , Wall Street Journal.	false	QMSum_194
OK.	For r w what test set ?	Uh , p the one that they have reported is a NIST evaluation , Wall Street Journal.	But that has nothing to do with what we 're testing on , right ?	false	QMSum_194
For r w what test set ?	Uh , p the one that they have reported is a NIST evaluation , Wall Street Journal.	But that has nothing to do with what we 're testing on , right ?	Mm - hmm.	false	QMSum_194
Uh , p the one that they have reported is a NIST evaluation , Wall Street Journal.	But that has nothing to do with what we 're testing on , right ?	Mm - hmm.	You know. No. So they 're , like um So they are actually trying to , uh , fix that those values using the clean , uh , training part of the Wall Street Journal. Which is I mean , the Aurora. Aurora has a clean subset.	false	QMSum_194
But that has nothing to do with what we 're testing on , right ?	Mm - hmm.	You know. No. So they 're , like um So they are actually trying to , uh , fix that those values using the clean , uh , training part of the Wall Street Journal. Which is I mean , the Aurora. Aurora has a clean subset.	Right.	false	QMSum_194
Mm - hmm.	You know. No. So they 're , like um So they are actually trying to , uh , fix that those values using the clean , uh , training part of the Wall Street Journal. Which is I mean , the Aurora. Aurora has a clean subset.	Right.	I mean , they want to train it and then this they 're going to run some evaluations.	false	QMSum_194
You know. No. So they 're , like um So they are actually trying to , uh , fix that those values using the clean , uh , training part of the Wall Street Journal. Which is I mean , the Aurora. Aurora has a clean subset.	Right.	I mean , they want to train it and then this they 're going to run some evaluations.	So they 're set they 're setting it based on that ?	false	QMSum_194
Right.	I mean , they want to train it and then this they 're going to run some evaluations.	So they 're set they 're setting it based on that ?	Yeah.	false	QMSum_194
I mean , they want to train it and then this they 're going to run some evaluations.	So they 're set they 're setting it based on that ?	Yeah.	OK. So now , we may come back to the situation where we may be looking for a modification of the features to account for the fact that we can't modify these parameters.	false	QMSum_194
So they 're set they 're setting it based on that ?	Yeah.	OK. So now , we may come back to the situation where we may be looking for a modification of the features to account for the fact that we can't modify these parameters.	Yeah.	false	QMSum_194
Yeah.	OK. So now , we may come back to the situation where we may be looking for a modification of the features to account for the fact that we can't modify these parameters.	Yeah.	But , um ,	false	QMSum_194
OK. So now , we may come back to the situation where we may be looking for a modification of the features to account for the fact that we can't modify these parameters.	Yeah.	But , um ,	Yeah.	false	QMSum_194
Yeah.	But , um ,	Yeah.	uh but it 's still worth , I think , just since you know , just chatting with Joe about the issue.	false	QMSum_194
But , um ,	Yeah.	uh but it 's still worth , I think , just since you know , just chatting with Joe about the issue.	Yeah , OK. Do you think that 's something I should just send to him	false	QMSum_194
Yeah.	uh but it 's still worth , I think , just since you know , just chatting with Joe about the issue.	Yeah , OK. Do you think that 's something I should just send to him	Um	false	QMSum_194
uh but it 's still worth , I think , just since you know , just chatting with Joe about the issue.	Yeah , OK. Do you think that 's something I should just send to him	Um	or do you think I should send it to this there 's an a m a mailing list.	false	QMSum_194
Yeah , OK. Do you think that 's something I should just send to him	Um	or do you think I should send it to this there 's an a m a mailing list.	Well , it 's not a secret. I mean , we 're , you know , certainly willing to talk about it with everybody , but I think I think that , um um , it 's probably best to start talking with him just to	false	QMSum_194
Um	or do you think I should send it to this there 's an a m a mailing list.	Well , it 's not a secret. I mean , we 're , you know , certainly willing to talk about it with everybody , but I think I think that , um um , it 's probably best to start talking with him just to	OK.	false	QMSum_194
or do you think I should send it to this there 's an a m a mailing list.	Well , it 's not a secret. I mean , we 're , you know , certainly willing to talk about it with everybody , but I think I think that , um um , it 's probably best to start talking with him just to	OK.	Uh @ @ you know , it 's a dialogue between two of you about what you know , what does he think about this and what what you know what could be done about it.	false	QMSum_194
Well , it 's not a secret. I mean , we 're , you know , certainly willing to talk about it with everybody , but I think I think that , um um , it 's probably best to start talking with him just to	OK.	Uh @ @ you know , it 's a dialogue between two of you about what you know , what does he think about this and what what you know what could be done about it.	Yeah. OK.	false	QMSum_194
OK.	Uh @ @ you know , it 's a dialogue between two of you about what you know , what does he think about this and what what you know what could be done about it.	Yeah. OK.	Um , if you get ten people in involved in it there 'll be a lot of perspectives based on , you know , how	false	QMSum_194
Uh @ @ you know , it 's a dialogue between two of you about what you know , what does he think about this and what what you know what could be done about it.	Yeah. OK.	Um , if you get ten people in involved in it there 'll be a lot of perspectives based on , you know , how	Yeah.	false	QMSum_194
Yeah. OK.	Um , if you get ten people in involved in it there 'll be a lot of perspectives based on , you know , how	Yeah.	you know.	false	QMSum_194
Um , if you get ten people in involved in it there 'll be a lot of perspectives based on , you know , how	Yeah.	you know.	Right.	false	QMSum_194
Yeah.	you know.	Right.	Uh But , I mean , I think it all should come up eventually ,	false	QMSum_194
you know.	Right.	Uh But , I mean , I think it all should come up eventually ,	OK.	false	QMSum_194
Right.	Uh But , I mean , I think it all should come up eventually ,	OK.	but if if if there is any , uh , uh , way to move in a way that would that would , you know , be more open to different kinds of features. But if if , uh if there isn't , and it 's just kind of shut down and and then also there 's probably not worthwhile bringing it into a larger forum where where political issues will come in.	false	QMSum_194
Uh But , I mean , I think it all should come up eventually ,	OK.	but if if if there is any , uh , uh , way to move in a way that would that would , you know , be more open to different kinds of features. But if if , uh if there isn't , and it 's just kind of shut down and and then also there 's probably not worthwhile bringing it into a larger forum where where political issues will come in.	Yeah. OK.	false	QMSum_194
OK.	but if if if there is any , uh , uh , way to move in a way that would that would , you know , be more open to different kinds of features. But if if , uh if there isn't , and it 's just kind of shut down and and then also there 's probably not worthwhile bringing it into a larger forum where where political issues will come in.	Yeah. OK.	Oh. So this is now it 's it 's compiled under Solaris ?	false	QMSum_194
but if if if there is any , uh , uh , way to move in a way that would that would , you know , be more open to different kinds of features. But if if , uh if there isn't , and it 's just kind of shut down and and then also there 's probably not worthwhile bringing it into a larger forum where where political issues will come in.	Yeah. OK.	Oh. So this is now it 's it 's compiled under Solaris ?	Yeah.	false	QMSum_194
Yeah. OK.	Oh. So this is now it 's it 's compiled under Solaris ?	Yeah.	Yeah , OK.	false	QMSum_194
Oh. So this is now it 's it 's compiled under Solaris ?	Yeah.	Yeah , OK.	Yep.	false	QMSum_194
Yeah.	Yeah , OK.	Yep.	Because he there was some mail r saying that it 's may not be stable for Linux and all those.	false	QMSum_194
Yeah , OK.	Yep.	Because he there was some mail r saying that it 's may not be stable for Linux and all those.	Yeah. Yeah , i that was a particular version.	false	QMSum_194
Yep.	Because he there was some mail r saying that it 's may not be stable for Linux and all those.	Yeah. Yeah , i that was a particular version.	SUSI	false	QMSum_194
Because he there was some mail r saying that it 's may not be stable for Linux and all those.	Yeah. Yeah , i that was a particular version.	SUSI	Yeah , SUSI or whatever it was	false	QMSum_194
Yeah. Yeah , i that was a particular version.	SUSI	Yeah , SUSI or whatever it was	yeah. Yeah , yeah.	false	QMSum_194
SUSI	Yeah , SUSI or whatever it was	yeah. Yeah , yeah.	but we don't have that.	false	QMSum_194
Yeah , SUSI or whatever it was	yeah. Yeah , yeah.	but we don't have that.	Yeah , OK.	false	QMSum_194
yeah. Yeah , yeah.	but we don't have that.	Yeah , OK.	So. Should be OK.	false	QMSum_194
but we don't have that.	Yeah , OK.	So. Should be OK.	OK , that 's fine.	false	QMSum_194
Yeah , OK.	So. Should be OK.	OK , that 's fine.	Yeah , it compiled fine actually.	false	QMSum_194
So. Should be OK.	OK , that 's fine.	Yeah , it compiled fine actually.	Yeah.	false	QMSum_194
OK , that 's fine.	Yeah , it compiled fine actually.	Yeah.	No no errors. Nothing. So.	false	QMSum_194

So , I

A week ,

Huh. I I guessed that they were gonna do it some time during the semester

week and a half.

false

QMSum_194

A week ,

Huh. I I guessed that they were gonna do it some time during the semester

week and a half.

but they 'll do it any time , huh ?

false

QMSum_194

Huh. I I guessed that they were gonna do it some time during the semester

week and a half.

but they 'll do it any time , huh ?

They seem to be Well , the semester actually is starting up.

false

QMSum_194

week and a half.

but they 'll do it any time , huh ?

They seem to be Well , the semester actually is starting up.

Is it already ?

false

QMSum_194

but they 'll do it any time , huh ?

They seem to be Well , the semester actually is starting up.

Is it already ?

Yeah , the semester 's late late August they start here.

false

QMSum_194

They seem to be Well , the semester actually is starting up.

Is it already ?

Yeah , the semester 's late late August they start here.

Yikes.

false

QMSum_194

Is it already ?

Yeah , the semester 's late late August they start here.

Yikes.

So they do it right at the beginning of the semester.

false

QMSum_194

Yeah , the semester 's late late August they start here.

Yikes.

So they do it right at the beginning of the semester.

Yeah.

false

QMSum_194

Yikes.

So they do it right at the beginning of the semester.

Yeah.

Yeah. So , uh Yep. I mean , that that was sort of one I mean , the overall results seemed to be first place in in in the case of either , um , artificial reverberation or a modest sized training set. Uh , either way , uh , i uh , it helped a lot. And But if you had a a really big training set , a recognizer , uh , system that was capable of taking advantage of a really large training set I thought that One thing with the HTK is that is has the as we 're using the configuration we 're using is w s is being bound by the terms of Aurora , we have all those parameters just set as they are. So even if we had a hundred times as much data , we wouldn't go out to , you know , ten or t or a hundred times as many Gaussians or anything. So , um , it 's kind of hard to take advantage of of of big chunks of data. Uh , whereas the other one does sort of expand as you have more training data.

false

QMSum_194

So they do it right at the beginning of the semester.

Yeah.

Yeah. So , uh Yep. I mean , that that was sort of one I mean , the overall results seemed to be first place in in in the case of either , um , artificial reverberation or a modest sized training set. Uh , either way , uh , i uh , it helped a lot. And But if you had a a really big training set , a recognizer , uh , system that was capable of taking advantage of a really large training set I thought that One thing with the HTK is that is has the as we 're using the configuration we 're using is w s is being bound by the terms of Aurora , we have all those parameters just set as they are. So even if we had a hundred times as much data , we wouldn't go out to , you know , ten or t or a hundred times as many Gaussians or anything. So , um , it 's kind of hard to take advantage of of of big chunks of data. Uh , whereas the other one does sort of expand as you have more training data.

Mm - hmm.

false

QMSum_194

Yeah.

Yeah. So , uh Yep. I mean , that that was sort of one I mean , the overall results seemed to be first place in in in the case of either , um , artificial reverberation or a modest sized training set. Uh , either way , uh , i uh , it helped a lot. And But if you had a a really big training set , a recognizer , uh , system that was capable of taking advantage of a really large training set I thought that One thing with the HTK is that is has the as we 're using the configuration we 're using is w s is being bound by the terms of Aurora , we have all those parameters just set as they are. So even if we had a hundred times as much data , we wouldn't go out to , you know , ten or t or a hundred times as many Gaussians or anything. So , um , it 's kind of hard to take advantage of of of big chunks of data. Uh , whereas the other one does sort of expand as you have more training data.

Mm - hmm.

Mmm , yeah.

false

QMSum_194

Yeah. So , uh Yep. I mean , that that was sort of one I mean , the overall results seemed to be first place in in in the case of either , um , artificial reverberation or a modest sized training set. Uh , either way , uh , i uh , it helped a lot. And But if you had a a really big training set , a recognizer , uh , system that was capable of taking advantage of a really large training set I thought that One thing with the HTK is that is has the as we 're using the configuration we 're using is w s is being bound by the terms of Aurora , we have all those parameters just set as they are. So even if we had a hundred times as much data , we wouldn't go out to , you know , ten or t or a hundred times as many Gaussians or anything. So , um , it 's kind of hard to take advantage of of of big chunks of data. Uh , whereas the other one does sort of expand as you have more training data.

Mm - hmm.

Mmm , yeah.

It does it automatically , actually. And so , um , uh , that one really benefited from the larger set. And it was also a diverse set with different noises and so forth. Uh , so , um , that , uh that seemed to be So , if you have that that better recognizer that can that can build up more parameters , and if you , um , have the natural room , which in this case has a p a pretty bad signal - to - noise ratio , then in that case , um , the right thing to do is just do u use speaker adaptation. And and not bother with with this acoustic , uh , processing. But I think that that would not be true if we did some explicit noise - processing as well as , uh , the convolutional kind of things we were doing.

false

QMSum_194

Mm - hmm.

Mmm , yeah.

It does it automatically , actually. And so , um , uh , that one really benefited from the larger set. And it was also a diverse set with different noises and so forth. Uh , so , um , that , uh that seemed to be So , if you have that that better recognizer that can that can build up more parameters , and if you , um , have the natural room , which in this case has a p a pretty bad signal - to - noise ratio , then in that case , um , the right thing to do is just do u use speaker adaptation. And and not bother with with this acoustic , uh , processing. But I think that that would not be true if we did some explicit noise - processing as well as , uh , the convolutional kind of things we were doing.

Mm - hmm.

false

QMSum_194

Mmm , yeah.

It does it automatically , actually. And so , um , uh , that one really benefited from the larger set. And it was also a diverse set with different noises and so forth. Uh , so , um , that , uh that seemed to be So , if you have that that better recognizer that can that can build up more parameters , and if you , um , have the natural room , which in this case has a p a pretty bad signal - to - noise ratio , then in that case , um , the right thing to do is just do u use speaker adaptation. And and not bother with with this acoustic , uh , processing. But I think that that would not be true if we did some explicit noise - processing as well as , uh , the convolutional kind of things we were doing.

Mm - hmm.

So. That 's sort of what we found.

false

QMSum_194

It does it automatically , actually. And so , um , uh , that one really benefited from the larger set. And it was also a diverse set with different noises and so forth. Uh , so , um , that , uh that seemed to be So , if you have that that better recognizer that can that can build up more parameters , and if you , um , have the natural room , which in this case has a p a pretty bad signal - to - noise ratio , then in that case , um , the right thing to do is just do u use speaker adaptation. And and not bother with with this acoustic , uh , processing. But I think that that would not be true if we did some explicit noise - processing as well as , uh , the convolutional kind of things we were doing.

Mm - hmm.

So. That 's sort of what we found.

Hmm.

false

QMSum_194

Mm - hmm.

So. That 's sort of what we found.

Hmm.

I , um uh , started working on the uh Mississippi State recognizer. So , I got in touch with Joe and and , uh , from your email and things like that.

false

QMSum_194

So. That 's sort of what we found.

Hmm.

I , um uh , started working on the uh Mississippi State recognizer. So , I got in touch with Joe and and , uh , from your email and things like that.

Oh , OK.

false

QMSum_194

Hmm.

I , um uh , started working on the uh Mississippi State recognizer. So , I got in touch with Joe and and , uh , from your email and things like that.

Oh , OK.

And , uh , they added me to the list uh , the mailing list.

false

QMSum_194

I , um uh , started working on the uh Mississippi State recognizer. So , I got in touch with Joe and and , uh , from your email and things like that.

Oh , OK.

And , uh , they added me to the list uh , the mailing list.

OK , great.

false

QMSum_194

Oh , OK.

And , uh , they added me to the list uh , the mailing list.

OK , great.

And he gave me all of the pointers and everything that I needed. And so I downloaded the , um There were two things , uh , that they had to download. One was the , uh , I guess the software. And another wad was a , um , sort of like a sample a sample run. So I downloaded the software and compiled all of that. And it compiled fine.

false

QMSum_194

And , uh , they added me to the list uh , the mailing list.

OK , great.

And he gave me all of the pointers and everything that I needed. And so I downloaded the , um There were two things , uh , that they had to download. One was the , uh , I guess the software. And another wad was a , um , sort of like a sample a sample run. So I downloaded the software and compiled all of that. And it compiled fine.

Eight.

false

QMSum_194

OK , great.

And he gave me all of the pointers and everything that I needed. And so I downloaded the , um There were two things , uh , that they had to download. One was the , uh , I guess the software. And another wad was a , um , sort of like a sample a sample run. So I downloaded the software and compiled all of that. And it compiled fine.

Eight.

No problems.

false

QMSum_194

And he gave me all of the pointers and everything that I needed. And so I downloaded the , um There were two things , uh , that they had to download. One was the , uh , I guess the software. And another wad was a , um , sort of like a sample a sample run. So I downloaded the software and compiled all of that. And it compiled fine.

Eight.

No problems.

Oh , eh , great.

false

QMSum_194

Eight.

No problems.

Oh , eh , great.

And , um , I grabbed the sample stuff but I haven't , uh , compiled it.

false

QMSum_194

No problems.

Oh , eh , great.

And , um , I grabbed the sample stuff but I haven't , uh , compiled it.

That sample was released only yesterday or the day before , right ?

false

QMSum_194

Oh , eh , great.

And , um , I grabbed the sample stuff but I haven't , uh , compiled it.

That sample was released only yesterday or the day before , right ?

No Well , I haven't grabbed that one yet. So there 's two.

false

QMSum_194

And , um , I grabbed the sample stuff but I haven't , uh , compiled it.

That sample was released only yesterday or the day before , right ?

No Well , I haven't grabbed that one yet. So there 's two.

Oh , there is another short sample set

false

QMSum_194

That sample was released only yesterday or the day before , right ?

No Well , I haven't grabbed that one yet. So there 's two.

Oh , there is another short sample set

There was another short one , yeah.

false

QMSum_194

No Well , I haven't grabbed that one yet. So there 's two.

Oh , there is another short sample set

There was another short one , yeah.

o o sample.

false

QMSum_194

Oh , there is another short sample set

There was another short one , yeah.

o o sample.

And so I haven't grabbed the latest one that he just , uh , put out yet.

false

QMSum_194

There was another short one , yeah.

o o sample.

And so I haven't grabbed the latest one that he just , uh , put out yet.

OK. Oh , OK. F Yeah , OK.

false

QMSum_194

o o sample.

And so I haven't grabbed the latest one that he just , uh , put out yet.

OK. Oh , OK. F Yeah , OK.

So. Um , but , the software seemed to compile fine and everything , so. And , um , So.

false

QMSum_194

And so I haven't grabbed the latest one that he just , uh , put out yet.

OK. Oh , OK. F Yeah , OK.

So. Um , but , the software seemed to compile fine and everything , so. And , um , So.

Is there any word yet about the issues about , um , adjustments for different feature sets or anything ?

false

QMSum_194

OK. Oh , OK. F Yeah , OK.

So. Um , but , the software seemed to compile fine and everything , so. And , um , So.

Is there any word yet about the issues about , um , adjustments for different feature sets or anything ?

No , I I d You asked me to write to him and I think I forgot to ask him about that. Or if I did ask him , he didn't reply.

false

QMSum_194

So. Um , but , the software seemed to compile fine and everything , so. And , um , So.

Is there any word yet about the issues about , um , adjustments for different feature sets or anything ?

No , I I d You asked me to write to him and I think I forgot to ask him about that. Or if I did ask him , he didn't reply.

Yeah.

false

QMSum_194

Is there any word yet about the issues about , um , adjustments for different feature sets or anything ?

No , I I d You asked me to write to him and I think I forgot to ask him about that. Or if I did ask him , he didn't reply.

Yeah.

I I don't remember yet. Uh , I 'll I 'll d I 'll double check that and ask him again.

false

QMSum_194

No , I I d You asked me to write to him and I think I forgot to ask him about that. Or if I did ask him , he didn't reply.

Yeah.

I I don't remember yet. Uh , I 'll I 'll d I 'll double check that and ask him again.

Yeah. Yeah , it 's like that that could r turn out to be an important issue for us.

false

QMSum_194

Yeah.

I I don't remember yet. Uh , I 'll I 'll d I 'll double check that and ask him again.

Yeah. Yeah , it 's like that that could r turn out to be an important issue for us.

Hmm. Mmm.

false

QMSum_194

I I don't remember yet. Uh , I 'll I 'll d I 'll double check that and ask him again.

Yeah. Yeah , it 's like that that could r turn out to be an important issue for us.

Hmm. Mmm.

Yeah. Yeah.

false

QMSum_194

Yeah. Yeah , it 's like that that could r turn out to be an important issue for us.

Hmm. Mmm.

Yeah. Yeah.

Yeah.

false

QMSum_194

Hmm. Mmm.

Yeah. Yeah.

Yeah.

Cuz they have it

false

QMSum_194

Yeah. Yeah.

Yeah.

Cuz they have it

Maybe I 'll send it to the list. Yeah.

false

QMSum_194

Yeah.

Cuz they have it

Maybe I 'll send it to the list. Yeah.

Cuz they have , uh , already frozen those in i insertion penalties and all those stuff is what I feel. Because they have this document explaining the recognizer.

false

QMSum_194

Cuz they have it

Maybe I 'll send it to the list. Yeah.

Cuz they have , uh , already frozen those in i insertion penalties and all those stuff is what I feel. Because they have this document explaining the recognizer.

Uh - huh.

false

QMSum_194

Maybe I 'll send it to the list. Yeah.

Cuz they have , uh , already frozen those in i insertion penalties and all those stuff is what I feel. Because they have this document explaining the recognizer.

Uh - huh.

And they have these tables with , uh , various language model weights , insertion penalties.

false

QMSum_194

Cuz they have , uh , already frozen those in i insertion penalties and all those stuff is what I feel. Because they have this document explaining the recognizer.

Uh - huh.

And they have these tables with , uh , various language model weights , insertion penalties.

OK , I haven't seen that one yet.

false

QMSum_194

Uh - huh.

And they have these tables with , uh , various language model weights , insertion penalties.

OK , I haven't seen that one yet.

So.

false

QMSum_194

And they have these tables with , uh , various language model weights , insertion penalties.

OK , I haven't seen that one yet.

So.

Uh , it 's th it 's there on that web.

false

QMSum_194

OK , I haven't seen that one yet.

So.

Uh , it 's th it 's there on that web.

OK.

false

QMSum_194

So.

Uh , it 's th it 's there on that web.

OK.

And , uh , on that , I mean , they have run some experiments using various insertion penalties and all those

false

QMSum_194

Uh , it 's th it 's there on that web.

OK.

And , uh , on that , I mean , they have run some experiments using various insertion penalties and all those

And so they 've picked the values.

false

QMSum_194

OK.

And , uh , on that , I mean , they have run some experiments using various insertion penalties and all those

And so they 've picked the values.

Yeah , I think they pi p

false

QMSum_194

And , uh , on that , I mean , they have run some experiments using various insertion penalties and all those

And so they 've picked the values.

Yeah , I think they pi p

Oh , OK.

false

QMSum_194

And so they 've picked the values.

Yeah , I think they pi p

Oh , OK.

yeah , they picked the values from

false

QMSum_194

Yeah , I think they pi p

Oh , OK.

yeah , they picked the values from

OK.

false

QMSum_194

Oh , OK.

yeah , they picked the values from

OK.

For r w what test set ?

false

QMSum_194

yeah , they picked the values from

OK.

For r w what test set ?

Uh , p the one that they have reported is a NIST evaluation , Wall Street Journal.

false

QMSum_194

OK.

For r w what test set ?

Uh , p the one that they have reported is a NIST evaluation , Wall Street Journal.

But that has nothing to do with what we 're testing on , right ?

false

QMSum_194

For r w what test set ?

Uh , p the one that they have reported is a NIST evaluation , Wall Street Journal.

But that has nothing to do with what we 're testing on , right ?

Mm - hmm.

false

QMSum_194

Uh , p the one that they have reported is a NIST evaluation , Wall Street Journal.

But that has nothing to do with what we 're testing on , right ?

Mm - hmm.

You know. No. So they 're , like um So they are actually trying to , uh , fix that those values using the clean , uh , training part of the Wall Street Journal. Which is I mean , the Aurora. Aurora has a clean subset.

false

QMSum_194

But that has nothing to do with what we 're testing on , right ?

Mm - hmm.

You know. No. So they 're , like um So they are actually trying to , uh , fix that those values using the clean , uh , training part of the Wall Street Journal. Which is I mean , the Aurora. Aurora has a clean subset.

Right.

false

QMSum_194

Mm - hmm.

You know. No. So they 're , like um So they are actually trying to , uh , fix that those values using the clean , uh , training part of the Wall Street Journal. Which is I mean , the Aurora. Aurora has a clean subset.

Right.

I mean , they want to train it and then this they 're going to run some evaluations.

false

QMSum_194

You know. No. So they 're , like um So they are actually trying to , uh , fix that those values using the clean , uh , training part of the Wall Street Journal. Which is I mean , the Aurora. Aurora has a clean subset.

Right.

I mean , they want to train it and then this they 're going to run some evaluations.

So they 're set they 're setting it based on that ?

false

QMSum_194

Right.

I mean , they want to train it and then this they 're going to run some evaluations.

So they 're set they 're setting it based on that ?

Yeah.

false

QMSum_194

I mean , they want to train it and then this they 're going to run some evaluations.

So they 're set they 're setting it based on that ?

Yeah.

OK. So now , we may come back to the situation where we may be looking for a modification of the features to account for the fact that we can't modify these parameters.

false

QMSum_194

So they 're set they 're setting it based on that ?

Yeah.

OK. So now , we may come back to the situation where we may be looking for a modification of the features to account for the fact that we can't modify these parameters.

Yeah.

false

QMSum_194

Yeah.

OK. So now , we may come back to the situation where we may be looking for a modification of the features to account for the fact that we can't modify these parameters.

Yeah.

But , um ,

false

QMSum_194

OK. So now , we may come back to the situation where we may be looking for a modification of the features to account for the fact that we can't modify these parameters.

Yeah.

But , um ,

Yeah.

false

QMSum_194

Yeah.

But , um ,

Yeah.

uh but it 's still worth , I think , just since you know , just chatting with Joe about the issue.

false

QMSum_194

But , um ,

Yeah.

uh but it 's still worth , I think , just since you know , just chatting with Joe about the issue.

Yeah , OK. Do you think that 's something I should just send to him

false

QMSum_194

Yeah.

uh but it 's still worth , I think , just since you know , just chatting with Joe about the issue.

Yeah , OK. Do you think that 's something I should just send to him

Um

false

QMSum_194

uh but it 's still worth , I think , just since you know , just chatting with Joe about the issue.

Yeah , OK. Do you think that 's something I should just send to him

Um

or do you think I should send it to this there 's an a m a mailing list.

false

QMSum_194

Yeah , OK. Do you think that 's something I should just send to him

Um

or do you think I should send it to this there 's an a m a mailing list.

Well , it 's not a secret. I mean , we 're , you know , certainly willing to talk about it with everybody , but I think I think that , um um , it 's probably best to start talking with him just to

false

QMSum_194

Um

or do you think I should send it to this there 's an a m a mailing list.

Well , it 's not a secret. I mean , we 're , you know , certainly willing to talk about it with everybody , but I think I think that , um um , it 's probably best to start talking with him just to

OK.

false

QMSum_194

or do you think I should send it to this there 's an a m a mailing list.

Well , it 's not a secret. I mean , we 're , you know , certainly willing to talk about it with everybody , but I think I think that , um um , it 's probably best to start talking with him just to

OK.

Uh @ @ you know , it 's a dialogue between two of you about what you know , what does he think about this and what what you know what could be done about it.

false

QMSum_194

Well , it 's not a secret. I mean , we 're , you know , certainly willing to talk about it with everybody , but I think I think that , um um , it 's probably best to start talking with him just to

OK.

Uh @ @ you know , it 's a dialogue between two of you about what you know , what does he think about this and what what you know what could be done about it.

Yeah. OK.

false

QMSum_194

OK.

Uh @ @ you know , it 's a dialogue between two of you about what you know , what does he think about this and what what you know what could be done about it.

Yeah. OK.

Um , if you get ten people in involved in it there 'll be a lot of perspectives based on , you know , how

false

QMSum_194

Uh @ @ you know , it 's a dialogue between two of you about what you know , what does he think about this and what what you know what could be done about it.

Yeah. OK.

Um , if you get ten people in involved in it there 'll be a lot of perspectives based on , you know , how

Yeah.

false

QMSum_194

Yeah. OK.

Um , if you get ten people in involved in it there 'll be a lot of perspectives based on , you know , how

Yeah.

you know.

false

QMSum_194

Um , if you get ten people in involved in it there 'll be a lot of perspectives based on , you know , how

Yeah.

you know.

Right.

false

QMSum_194

Yeah.

you know.

Right.

Uh But , I mean , I think it all should come up eventually ,

false

QMSum_194

you know.

Right.

Uh But , I mean , I think it all should come up eventually ,

OK.

false

QMSum_194

Right.

Uh But , I mean , I think it all should come up eventually ,

OK.

but if if if there is any , uh , uh , way to move in a way that would that would , you know , be more open to different kinds of features. But if if , uh if there isn't , and it 's just kind of shut down and and then also there 's probably not worthwhile bringing it into a larger forum where where political issues will come in.

false

QMSum_194

Uh But , I mean , I think it all should come up eventually ,

OK.

but if if if there is any , uh , uh , way to move in a way that would that would , you know , be more open to different kinds of features. But if if , uh if there isn't , and it 's just kind of shut down and and then also there 's probably not worthwhile bringing it into a larger forum where where political issues will come in.

Yeah. OK.

false

QMSum_194

OK.

but if if if there is any , uh , uh , way to move in a way that would that would , you know , be more open to different kinds of features. But if if , uh if there isn't , and it 's just kind of shut down and and then also there 's probably not worthwhile bringing it into a larger forum where where political issues will come in.

Yeah. OK.

Oh. So this is now it 's it 's compiled under Solaris ?

false

QMSum_194

but if if if there is any , uh , uh , way to move in a way that would that would , you know , be more open to different kinds of features. But if if , uh if there isn't , and it 's just kind of shut down and and then also there 's probably not worthwhile bringing it into a larger forum where where political issues will come in.

Yeah. OK.

Oh. So this is now it 's it 's compiled under Solaris ?

Yeah.

false

QMSum_194

Yeah. OK.

Oh. So this is now it 's it 's compiled under Solaris ?

Yeah.

Yeah , OK.

false

QMSum_194

Oh. So this is now it 's it 's compiled under Solaris ?

Yeah.

Yeah , OK.

Yep.

false

QMSum_194

Yeah.

Yeah , OK.

Yep.

Because he there was some mail r saying that it 's may not be stable for Linux and all those.

false

QMSum_194

Yeah , OK.

Yep.

Because he there was some mail r saying that it 's may not be stable for Linux and all those.

Yeah. Yeah , i that was a particular version.

false

QMSum_194

Yep.

Because he there was some mail r saying that it 's may not be stable for Linux and all those.

Yeah. Yeah , i that was a particular version.

SUSI

false

QMSum_194

Because he there was some mail r saying that it 's may not be stable for Linux and all those.

Yeah. Yeah , i that was a particular version.

SUSI

Yeah , SUSI or whatever it was

false

QMSum_194

Yeah. Yeah , i that was a particular version.

SUSI

Yeah , SUSI or whatever it was

yeah. Yeah , yeah.

false

QMSum_194

SUSI

Yeah , SUSI or whatever it was

yeah. Yeah , yeah.

but we don't have that.

false

QMSum_194

Yeah , SUSI or whatever it was

yeah. Yeah , yeah.

but we don't have that.

Yeah , OK.

false

QMSum_194

yeah. Yeah , yeah.

but we don't have that.

Yeah , OK.

So. Should be OK.

false

QMSum_194

but we don't have that.

Yeah , OK.

So. Should be OK.

OK , that 's fine.

false

QMSum_194

Yeah , OK.

So. Should be OK.

OK , that 's fine.

Yeah , it compiled fine actually.

false

QMSum_194

So. Should be OK.

OK , that 's fine.

Yeah , it compiled fine actually.

Yeah.

false

QMSum_194

OK , that 's fine.

Yeah , it compiled fine actually.

Yeah.

No no errors. Nothing. So.

false

QMSum_194