elplaguister/DTS_line_datasets · Datasets at Hugging Face

topic_shift bool 2 classes	utterance stringlengths 1 7.9k	session_id stringlengths 7 14
false	Yeah.	QMSum_135
false	But , uh but I but but I don't know that you need to	QMSum_135
false	Open wide !	QMSum_135
false	but I don't need you know if you need to get rid of it. I mean that 'd that 'd be nice but I don't know if it 's ess if it 's essential. Um , I mean cuz I think the main thing is that , uh , you 're trying	QMSum_135
false	Uh - huh.	QMSum_135
false	wha what are you doing this for ? You 're trying distinguish between the case where there is , uh where where there are more than uh , where there 's more than one speaker and the case where there 's only one speaker.	QMSum_135
false	Sorry.	QMSum_135
false	So if there 's more than one speaker , um yeah I guess you could I guess yeah you 're so you 're not distinguished between voiced and unvoiced , so so , i if you don't if you don't care about that	QMSum_135
false	Yeah.	QMSum_135
false	See , if you also wanna just determine if you also wanna determine whether it 's unvoiced , then I think you want to look look at high frequencies also , because the f the fact that there 's more energy in the high frequencies is gonna be an ob sort of obvious cue that it 's unvoiced.	QMSum_135
false	Yeah.	QMSum_135
false	But , i i uh I mean i i but , um , other than that I guess as far as the one person versus two persons , it would be primarily a low frequency phenomenon. And if you looked at the low frequencies , yes the higher frequencies are gonna there 's gonna be a spectral slope. The higher frequencies will be lower energy. But so what. I mean that 's that 's w	QMSum_135
false	I will prepare for the next week eh , all my results about the harmonicity and will will try to come in and to discuss here , because , eh , I haven't enough feeling to to u many time to to understand what happened with the with , eh , so many peaks , eh , eh , and I I see the harmonics there many time but , eh , there are a lot of peaks , eh , that , eh , they are not harmonics.	QMSum_135
false	Yeah.	QMSum_135
false	Um , I have to discover what what is the the w the best way to to to c to use them	QMSum_135
false	Well , but yeah I don't think you can I mean you 're not gonna be able to look at every frame , so I mean I I mean I I really I I really thought that the best way to do it , and I 'm speaking with no experience on this particular point , but , my impression was that the best way to do it was however you You 've used instantaneous frequency , whatever. However you 've come up you with your candidates , you wanna see how much of the energy is in that	QMSum_135
false	Yeah. Yeah.	QMSum_135
false	as coppo as opposed to all of the all the total energy. And , um , if it 's voiced , I guess so so y I think maybe you do need a voiced - unvoiced determination too. But if it 's voiced ,	QMSum_135
false	Yeah.	QMSum_135
false	um , and the , uh e the fraction of the energy that 's in the harmonic sequence that you 're looking at is relatively low , then it should be then it 's more likely to be an overlap.	QMSum_135
false	Is height. Yeah. This this is the idea the idea I I I had to to compare the the ratio of the the energy of the harmonics with the eh , with the , eh , total energy in the spectrum and try to get a ratio to to distinguish between overlapping and speech. Mmm.	QMSum_135
false	But you 're looking a y you 're looking at Let 's take a second with this. Uh , uh , you 're looking at f at the phase derivative , um , in in , uh , what domain ? I mean this is this is in in in in bands ? Or or	QMSum_135
false	No , no , no.	QMSum_135
false	Just just overall	QMSum_135
false	It 's a it 's a o i w the band the band is , eh , from zero to to four kilohertz. And I I ot I	QMSum_135
false	And you just take the instantaneous frequency ?	QMSum_135
false	Yeah. I u m t I I used two m two method two methods. Eh , one , eh , based on the F eh , FTT. to FFT to to obtain the or to study the harmonics from from the spectrum directly ,	QMSum_135
false	Yeah.	QMSum_135
false	and to study the energy and the multiples of	QMSum_135
false	Yeah.	QMSum_135
false	frequency. And another another algorithm I have is the in the instantaneous frequency , based on on on the FFT to to to calculate the the phase derivate in the time. Eh , uh n the d I mean I I have two two algorithms.	QMSum_135
false	Right.	QMSum_135
false	But , eh , in m i in my opinion the the the instantaneous frequency , the the the behavior , eh , was th it was very interesting. Because I I saw eh , how the spectrum concentrate , eh ,	QMSum_135
false	Oh !	QMSum_135
false	around the the harmonic. But then when I apply the the rule , eh , of the in the the instantaneous frequency of the ne of the continuous filter in the the near filter , the the rule that , eh , people propose in the paper doesn't work. And I don't know why.	QMSum_135
false	But the instantaneous frequency , wouldn't that give you something more like the central frequency of the you know , of the where most of the energy is ? I mean , I think if you Does i does it Why would it correspond to pitch ?	QMSum_135
false	Yeah. I I I not sure. I I I try to to	QMSum_135
false	Yeah.	QMSum_135
false	When first I I calculate , eh , using the FFT ,	QMSum_135
false	Di - digital camera.	QMSum_135
false	the the	QMSum_135
false	Keep forgetting.	QMSum_135
false	I get the the spectrum ,	QMSum_135
false	Yeah.	QMSum_135
false	and I represent all the frequency.	QMSum_135
false	Yeah.	QMSum_135
false	And when ou I obtained the instantaneous frequency. And I change the the the @ @ , using the instantaneous frequency , here.	QMSum_135
false	Oh , so you scale you s you do a a scaling along that axis according to instantaneous	QMSum_135
false	I use Yeah.	QMSum_135
false	It 's a kinda normalization.	QMSum_135
false	Yeah. Yeah. Because when when	QMSum_135
false	OK.	QMSum_135
false	eh , when i I I use these these frequency , eh , the range is different , and the resolution is different.	QMSum_135
false	Yeah.	QMSum_135
false	And I observe more more or less , thing like this. And the paper said that , eh , these frequencies are probably , eh , harmonics.	QMSum_135
false	I see. Huh.	QMSum_135
false	But , eh , they used , eh , a rule , eh , based in the in the because to to calculate the instantaneous frequency , they use a Hanning window.	QMSum_135
false	Yeah.	QMSum_135
true	And , they said that , eh , if these peak are , eh , harmonics , the f instantaneous frequency , of the contiguous , eh w eh eh , filters are very near , or have to be very near. But , eh , phh ! I don't I I I I don I I and I don't know what is the what is the distance. And I tried to to put different distance , eh , to put difference , eh eh , length of the window , eh , different front sieve , Pfff ! and I I not sure what happened.	QMSum_135
false	OK , yeah well I I guess I 'm not following it enough. I 'll probably gonna hafta look at the paper , but which I 'm not gonna have time to do in the next few days , but but I 'm I 'm curious about it.	QMSum_135
false	Yeah.	QMSum_135
false	Um , uh , OK.	QMSum_135
false	I I did i it did occur to me that this is uh , the return to the transcription , that there 's one third thing I wanted to to ex raise as a to as an issue which is , um , how to handle breaths. So , I wanted to raise the question of whether people in speech recognition want to know where the breaths are. And the reason I ask the question is , um , aside from the fact that they 're obviously very time - consuming to encode , uh , the fact that there was some I had the indication from Dan Ellis in the email that I sent to you ,	QMSum_135
false	Yeah.	QMSum_135
false	and you know about , that in principle we might be able to , um , handle breaths by accessi by using cross - talk from the other things , be able that in principle , maybe we could get rid of them , so maybe And I was I I don't know , I mean we had this an and I didn't couldn't get back to you ,	QMSum_135
false	Yeah.	QMSum_135
false	but the question of whether it 'd be possible to eliminate them from the audio signal , which would be the ideal situation ,	QMSum_135
false	I don't know think it 'd be ideal.	QMSum_135
false	cuz	QMSum_135
false	Uh - uh.	QMSum_135
false	We - See , we 're we 're dealing with real speech and we 're trying to have it be as real as possible	QMSum_135
false	Yeah.	QMSum_135
false	and breaths are part of real speech.	QMSum_135
false	Well , except that these are really truly I mean , ther there 's a segment in o the one I did n the first one that I did for i for this ,	QMSum_135
false	Yeah.	QMSum_135
false	where truly w we 're hearing you breathing like as if we 're you 're in our ear , you know , and it 's like it 's like	QMSum_135
false	Yeah.	QMSum_135
false	I y i I mean , breath is natural , but not	QMSum_135
false	It is but it is if you record it.	QMSum_135
false	Yeah.	QMSum_135
false	Except that we 're we 're trying to mimic Oh , I see what you 're saying. You 're saying that the PDA application would have uh , have to cope with breath.	QMSum_135
false	Yeah.	QMSum_135
false	Well	QMSum_135
false	No.	QMSum_135
false	But	QMSum_135
false	An - any application may have to.	QMSum_135
false	The P D A might not have to ,	QMSum_135
false	No i	QMSum_135
false	but more people than just PDA users are interested in this corpus.	QMSum_135
false	Yeah.	QMSum_135
false	So so mean you 're right	QMSum_135
false	OK , then the then I have two questions.	QMSum_135
false	we could remove it ,	QMSum_135
false	Yeah ?	QMSum_135
false	but I I think we don't wanna w remove it from the corpus , in terms of delivering it because the people will want it in there.	QMSum_135
false	Yeah. If it gets	QMSum_135
false	OK , so maybe the question is notating it. Yeah ?	QMSum_135
false	Yeah i Right. If if it gets in the way of what somebody is doing with it then you might wanna have some method which will allow you to block it , but you it 's real data. You don't wanna b but you don't	QMSum_135
false	OK , well	QMSum_135
false	If s you know , if there 's a little bit of noise out there , and somebody is is talking about something they 're doing , that 's part of what we accept as part of a real meeting , even And we have the f uh the uh the the fan and the in the projector up there , and , uh , this is it 's this is actual stuff that we we wanna work with.	QMSum_135

false

Yeah.

QMSum_135

false

But , uh but I but but I don't know that you need to

QMSum_135

false

Open wide !

QMSum_135

false

but I don't need you know if you need to get rid of it. I mean that 'd that 'd be nice but I don't know if it 's ess if it 's essential. Um , I mean cuz I think the main thing is that , uh , you 're trying

QMSum_135

false

Uh - huh.

QMSum_135

false

wha what are you doing this for ? You 're trying distinguish between the case where there is , uh where where there are more than uh , where there 's more than one speaker and the case where there 's only one speaker.

QMSum_135

false

Sorry.

QMSum_135

false

So if there 's more than one speaker , um yeah I guess you could I guess yeah you 're so you 're not distinguished between voiced and unvoiced , so so , i if you don't if you don't care about that

QMSum_135

false

Yeah.

QMSum_135

false

See , if you also wanna just determine if you also wanna determine whether it 's unvoiced , then I think you want to look look at high frequencies also , because the f the fact that there 's more energy in the high frequencies is gonna be an ob sort of obvious cue that it 's unvoiced.

QMSum_135

false

Yeah.

QMSum_135

false

But , i i uh I mean i i but , um , other than that I guess as far as the one person versus two persons , it would be primarily a low frequency phenomenon. And if you looked at the low frequencies , yes the higher frequencies are gonna there 's gonna be a spectral slope. The higher frequencies will be lower energy. But so what. I mean that 's that 's w

QMSum_135

false

I will prepare for the next week eh , all my results about the harmonicity and will will try to come in and to discuss here , because , eh , I haven't enough feeling to to u many time to to understand what happened with the with , eh , so many peaks , eh , eh , and I I see the harmonics there many time but , eh , there are a lot of peaks , eh , that , eh , they are not harmonics.

QMSum_135

false

Yeah.

QMSum_135

false

Um , I have to discover what what is the the w the best way to to to c to use them

QMSum_135

false

Well , but yeah I don't think you can I mean you 're not gonna be able to look at every frame , so I mean I I mean I I really I I really thought that the best way to do it , and I 'm speaking with no experience on this particular point , but , my impression was that the best way to do it was however you You 've used instantaneous frequency , whatever. However you 've come up you with your candidates , you wanna see how much of the energy is in that

QMSum_135

false

Yeah. Yeah.

QMSum_135

false

as coppo as opposed to all of the all the total energy. And , um , if it 's voiced , I guess so so y I think maybe you do need a voiced - unvoiced determination too. But if it 's voiced ,

QMSum_135

false

Yeah.

QMSum_135

false

um , and the , uh e the fraction of the energy that 's in the harmonic sequence that you 're looking at is relatively low , then it should be then it 's more likely to be an overlap.

QMSum_135

false

Is height. Yeah. This this is the idea the idea I I I had to to compare the the ratio of the the energy of the harmonics with the eh , with the , eh , total energy in the spectrum and try to get a ratio to to distinguish between overlapping and speech. Mmm.

QMSum_135

false

But you 're looking a y you 're looking at Let 's take a second with this. Uh , uh , you 're looking at f at the phase derivative , um , in in , uh , what domain ? I mean this is this is in in in in bands ? Or or

QMSum_135

false

No , no , no.

QMSum_135

false

Just just overall

QMSum_135

false

It 's a it 's a o i w the band the band is , eh , from zero to to four kilohertz. And I I ot I

QMSum_135

false

And you just take the instantaneous frequency ?

QMSum_135

false

Yeah. I u m t I I used two m two method two methods. Eh , one , eh , based on the F eh , FTT. to FFT to to obtain the or to study the harmonics from from the spectrum directly ,

QMSum_135

false

Yeah.

QMSum_135

false

and to study the energy and the multiples of

QMSum_135

false

Yeah.

QMSum_135

false

frequency. And another another algorithm I have is the in the instantaneous frequency , based on on on the FFT to to to calculate the the phase derivate in the time. Eh , uh n the d I mean I I have two two algorithms.

QMSum_135

false

Right.

QMSum_135

false

But , eh , in m i in my opinion the the the instantaneous frequency , the the the behavior , eh , was th it was very interesting. Because I I saw eh , how the spectrum concentrate , eh ,

QMSum_135

false

Oh !

QMSum_135

false

around the the harmonic. But then when I apply the the rule , eh , of the in the the instantaneous frequency of the ne of the continuous filter in the the near filter , the the rule that , eh , people propose in the paper doesn't work. And I don't know why.

QMSum_135

false

But the instantaneous frequency , wouldn't that give you something more like the central frequency of the you know , of the where most of the energy is ? I mean , I think if you Does i does it Why would it correspond to pitch ?

QMSum_135

false

Yeah. I I I not sure. I I I try to to

QMSum_135

false

Yeah.

QMSum_135

false

When first I I calculate , eh , using the FFT ,

QMSum_135

false

Di - digital camera.

QMSum_135

false

the the

QMSum_135

false

Keep forgetting.

QMSum_135

false

I get the the spectrum ,

QMSum_135

false

Yeah.

QMSum_135

false

and I represent all the frequency.

QMSum_135

false

Yeah.

QMSum_135

false

And when ou I obtained the instantaneous frequency. And I change the the the @ @ , using the instantaneous frequency , here.

QMSum_135

false

Oh , so you scale you s you do a a scaling along that axis according to instantaneous

QMSum_135

false

I use Yeah.

QMSum_135

false

It 's a kinda normalization.

QMSum_135

false

Yeah. Yeah. Because when when

QMSum_135

false

OK.

QMSum_135

false

eh , when i I I use these these frequency , eh , the range is different , and the resolution is different.

QMSum_135

false

Yeah.

QMSum_135

false

And I observe more more or less , thing like this. And the paper said that , eh , these frequencies are probably , eh , harmonics.

QMSum_135

false

I see. Huh.

QMSum_135

false

But , eh , they used , eh , a rule , eh , based in the in the because to to calculate the instantaneous frequency , they use a Hanning window.

QMSum_135

false

Yeah.

QMSum_135

true

And , they said that , eh , if these peak are , eh , harmonics , the f instantaneous frequency , of the contiguous , eh w eh eh , filters are very near , or have to be very near. But , eh , phh ! I don't I I I I don I I and I don't know what is the what is the distance. And I tried to to put different distance , eh , to put difference , eh eh , length of the window , eh , different front sieve , Pfff ! and I I not sure what happened.

QMSum_135

false

OK , yeah well I I guess I 'm not following it enough. I 'll probably gonna hafta look at the paper , but which I 'm not gonna have time to do in the next few days , but but I 'm I 'm curious about it.

QMSum_135

false

Yeah.

QMSum_135

false

Um , uh , OK.

QMSum_135

false

I I did i it did occur to me that this is uh , the return to the transcription , that there 's one third thing I wanted to to ex raise as a to as an issue which is , um , how to handle breaths. So , I wanted to raise the question of whether people in speech recognition want to know where the breaths are. And the reason I ask the question is , um , aside from the fact that they 're obviously very time - consuming to encode , uh , the fact that there was some I had the indication from Dan Ellis in the email that I sent to you ,

QMSum_135

false

Yeah.

QMSum_135

false

and you know about , that in principle we might be able to , um , handle breaths by accessi by using cross - talk from the other things , be able that in principle , maybe we could get rid of them , so maybe And I was I I don't know , I mean we had this an and I didn't couldn't get back to you ,

QMSum_135

false

Yeah.

QMSum_135

false

but the question of whether it 'd be possible to eliminate them from the audio signal , which would be the ideal situation ,

QMSum_135

false

I don't know think it 'd be ideal.

QMSum_135

false

cuz

QMSum_135

false

Uh - uh.

QMSum_135

false

We - See , we 're we 're dealing with real speech and we 're trying to have it be as real as possible

QMSum_135

false

Yeah.

QMSum_135

false

and breaths are part of real speech.

QMSum_135

false

Well , except that these are really truly I mean , ther there 's a segment in o the one I did n the first one that I did for i for this ,

QMSum_135

false

Yeah.

QMSum_135

false

where truly w we 're hearing you breathing like as if we 're you 're in our ear , you know , and it 's like it 's like

QMSum_135

false

Yeah.

QMSum_135

false

I y i I mean , breath is natural , but not

QMSum_135

false

It is but it is if you record it.

QMSum_135

false

Yeah.

QMSum_135

false

Except that we 're we 're trying to mimic Oh , I see what you 're saying. You 're saying that the PDA application would have uh , have to cope with breath.

QMSum_135

false

Yeah.

QMSum_135

false

Well

QMSum_135

false

No.

QMSum_135

false

But

QMSum_135

false

An - any application may have to.

QMSum_135

false

The P D A might not have to ,

QMSum_135

false

No i

QMSum_135

false

but more people than just PDA users are interested in this corpus.

QMSum_135

false

Yeah.

QMSum_135

false

So so mean you 're right

QMSum_135

false

OK , then the then I have two questions.

QMSum_135

false

we could remove it ,

QMSum_135

false

Yeah ?

QMSum_135

false

but I I think we don't wanna w remove it from the corpus , in terms of delivering it because the people will want it in there.

QMSum_135

false

Yeah. If it gets

QMSum_135

false

OK , so maybe the question is notating it. Yeah ?

QMSum_135

false

Yeah i Right. If if it gets in the way of what somebody is doing with it then you might wanna have some method which will allow you to block it , but you it 's real data. You don't wanna b but you don't

QMSum_135

false

OK , well

QMSum_135

false

If s you know , if there 's a little bit of noise out there , and somebody is is talking about something they 're doing , that 's part of what we accept as part of a real meeting , even And we have the f uh the uh the the fan and the in the projector up there , and , uh , this is it 's this is actual stuff that we we wanna work with.

QMSum_135