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14
Sure looks
but
Hmm.
Well , no.
false
QMSum_120
but
Hmm.
Well , no.
Hmm.
false
QMSum_120
Hmm.
Well , no.
Hmm.
It is
false
QMSum_120
Well , no.
Hmm.
It is
Yeah. Because we begin , uh , in fifteen point the fifteen point.
false
QMSum_120
Hmm.
It is
Yeah. Because we begin , uh , in fifteen point the fifteen point.
So , does does the periodicity of this signal say something about the the
false
QMSum_120
It is
Yeah. Because we begin , uh , in fifteen point the fifteen point.
So , does does the periodicity of this signal say something about the the
Fifteen p
false
QMSum_120
Yeah. Because we begin , uh , in fifteen point the fifteen point.
So , does does the periodicity of this signal say something about the the
Fifteen p
So it 's Yeah.
false
QMSum_120
So , does does the periodicity of this signal say something about the the
Fifteen p
So it 's Yeah.
Pitch.
false
QMSum_120
Fifteen p
So it 's Yeah.
Pitch.
It 's the pitch.
false
QMSum_120
So it 's Yeah.
Pitch.
It 's the pitch.
the pitch ?
false
QMSum_120
Pitch.
It 's the pitch.
the pitch ?
Yeah. Mm - hmm.
false
QMSum_120
It 's the pitch.
the pitch ?
Yeah. Mm - hmm.
Yeah.
false
QMSum_120
the pitch ?
Yeah. Mm - hmm.
Yeah.
OK.
false
QMSum_120
Yeah. Mm - hmm.
Yeah.
OK.
That 's like fundamental frequency.
false
QMSum_120
Yeah.
OK.
That 's like fundamental frequency.
Mm - hmm.
false
QMSum_120
OK.
That 's like fundamental frequency.
Mm - hmm.
So , I mean , i t t
false
QMSum_120
That 's like fundamental frequency.
Mm - hmm.
So , I mean , i t t
OK. I see.
false
QMSum_120
Mm - hmm.
So , I mean , i t t
OK. I see.
I mean , to first order what you 'd what you 're doing I mean , ignore all the details and all the ways which is that these are complete lies. Uh , the the you know , what you 're doing in feature extraction for speech recognition is you have , uh , in your head a a a a simplified production model for speech ,
false
QMSum_120
So , I mean , i t t
OK. I see.
I mean , to first order what you 'd what you 're doing I mean , ignore all the details and all the ways which is that these are complete lies. Uh , the the you know , what you 're doing in feature extraction for speech recognition is you have , uh , in your head a a a a simplified production model for speech ,
Mm - hmm.
false
QMSum_120
OK. I see.
I mean , to first order what you 'd what you 're doing I mean , ignore all the details and all the ways which is that these are complete lies. Uh , the the you know , what you 're doing in feature extraction for speech recognition is you have , uh , in your head a a a a simplified production model for speech ,
Mm - hmm.
in which you have a periodic or aperiodic source that 's driving some filters.
false
QMSum_120
I mean , to first order what you 'd what you 're doing I mean , ignore all the details and all the ways which is that these are complete lies. Uh , the the you know , what you 're doing in feature extraction for speech recognition is you have , uh , in your head a a a a simplified production model for speech ,
Mm - hmm.
in which you have a periodic or aperiodic source that 's driving some filters.
Mm - hmm.
false
QMSum_120
Mm - hmm.
in which you have a periodic or aperiodic source that 's driving some filters.
Mm - hmm.
Yeah. This is the the auto - correlation the R - zero energy.
false
QMSum_120
in which you have a periodic or aperiodic source that 's driving some filters.
Mm - hmm.
Yeah. This is the the auto - correlation the R - zero energy.
Do you have the mean do you have the mean for the auto - correlation ?
false
QMSum_120
Mm - hmm.
Yeah. This is the the auto - correlation the R - zero energy.
Do you have the mean do you have the mean for the auto - correlation ?
Uh , first order for speech recognition , you say " I don't care about the source ".
false
QMSum_120
Yeah. This is the the auto - correlation the R - zero energy.
Do you have the mean do you have the mean for the auto - correlation ?
Uh , first order for speech recognition , you say " I don't care about the source ".
For Yeah.
false
QMSum_120
Do you have the mean do you have the mean for the auto - correlation ?
Uh , first order for speech recognition , you say " I don't care about the source ".
For Yeah.
Well , I mean for the the energy.
false
QMSum_120
Uh , first order for speech recognition , you say " I don't care about the source ".
For Yeah.
Well , I mean for the the energy.
I have the mean.
false
QMSum_120
For Yeah.
Well , I mean for the the energy.
I have the mean.
Right ?
false
QMSum_120
Well , I mean for the the energy.
I have the mean.
Right ?
Right.
false
QMSum_120
I have the mean.
Right ?
Right.
And so you just want to find out what the filters are.
false
QMSum_120
Right ?
Right.
And so you just want to find out what the filters are.
Right.
false
QMSum_120
Right.
And so you just want to find out what the filters are.
Right.
Yeah.
false
QMSum_120
And so you just want to find out what the filters are.
Right.
Yeah.
The filters roughly act like a , um a , uh a an overall resonant you know , f some resonances and so forth that th that 's processing excitation.
false
QMSum_120
Right.
Yeah.
The filters roughly act like a , um a , uh a an overall resonant you know , f some resonances and so forth that th that 's processing excitation.
Here.
false
QMSum_120
Yeah.
The filters roughly act like a , um a , uh a an overall resonant you know , f some resonances and so forth that th that 's processing excitation.
Here.
They should be more close.
false
QMSum_120
The filters roughly act like a , um a , uh a an overall resonant you know , f some resonances and so forth that th that 's processing excitation.
Here.
They should be more close.
Ah , no. This is this ? More close. Is this ? And this.
false
QMSum_120
Here.
They should be more close.
Ah , no. This is this ? More close. Is this ? And this.
Mm - hmm.
false
QMSum_120
They should be more close.
Ah , no. This is this ? More close. Is this ? And this.
Mm - hmm.
Yeah.
false
QMSum_120
Ah , no. This is this ? More close. Is this ? And this.
Mm - hmm.
Yeah.
Mm - hmm.
false
QMSum_120
Mm - hmm.
Yeah.
Mm - hmm.
So they are this is there is less difference.
false
QMSum_120
Yeah.
Mm - hmm.
So they are this is there is less difference.
Mm - hmm.
false
QMSum_120
Mm - hmm.
So they are this is there is less difference.
Mm - hmm.
So if you look at the spectral envelope , just the very smooth properties of it , you get something closer to that.
false
QMSum_120
So they are this is there is less difference.
Mm - hmm.
So if you look at the spectral envelope , just the very smooth properties of it , you get something closer to that.
This is less it 's less robust.
false
QMSum_120
Mm - hmm.
So if you look at the spectral envelope , just the very smooth properties of it , you get something closer to that.
This is less it 's less robust.
Less robust. Yeah.
false
QMSum_120
So if you look at the spectral envelope , just the very smooth properties of it , you get something closer to that.
This is less it 's less robust.
Less robust. Yeah.
Oh , yeah.
false
QMSum_120
This is less it 's less robust.
Less robust. Yeah.
Oh , yeah.
And the notion is if you have the full spectrum , with all the little nitty - gritty details , that that has the effect of both ,
false
QMSum_120
Less robust. Yeah.
Oh , yeah.
And the notion is if you have the full spectrum , with all the little nitty - gritty details , that that has the effect of both ,
Yeah.
false
QMSum_120
Oh , yeah.
And the notion is if you have the full spectrum , with all the little nitty - gritty details , that that has the effect of both ,
Yeah.
and it would be a multiplication in in frequency domain
false
QMSum_120
And the notion is if you have the full spectrum , with all the little nitty - gritty details , that that has the effect of both ,
Yeah.
and it would be a multiplication in in frequency domain
Mm - hmm.
false
QMSum_120
Yeah.
and it would be a multiplication in in frequency domain
Mm - hmm.
so that would be like an addition in log power spectrum domain.
false
QMSum_120
and it would be a multiplication in in frequency domain
Mm - hmm.
so that would be like an addition in log power spectrum domain.
Mm - hmm. Mm - hmm.
false
QMSum_120
Mm - hmm.
so that would be like an addition in log power spectrum domain.
Mm - hmm. Mm - hmm.
And so this is saying , well , if you really do have that sort of vocal tract envelope , and you subtract that off , what you get is the excitation. And I call that lies because you don't really have that , you just have some kind of signal - processing trickery to get something that 's kind of smooth. It 's not really what 's happening in the vocal tract
false
QMSum_120
so that would be like an addition in log power spectrum domain.
Mm - hmm. Mm - hmm.
And so this is saying , well , if you really do have that sort of vocal tract envelope , and you subtract that off , what you get is the excitation. And I call that lies because you don't really have that , you just have some kind of signal - processing trickery to get something that 's kind of smooth. It 's not really what 's happening in the vocal tract
Yeah.
false
QMSum_120
Mm - hmm. Mm - hmm.
And so this is saying , well , if you really do have that sort of vocal tract envelope , and you subtract that off , what you get is the excitation. And I call that lies because you don't really have that , you just have some kind of signal - processing trickery to get something that 's kind of smooth. It 's not really what 's happening in the vocal tract
Yeah.
so you 're not really getting the vocal excitation.
false
QMSum_120
And so this is saying , well , if you really do have that sort of vocal tract envelope , and you subtract that off , what you get is the excitation. And I call that lies because you don't really have that , you just have some kind of signal - processing trickery to get something that 's kind of smooth. It 's not really what 's happening in the vocal tract
Yeah.
so you 're not really getting the vocal excitation.
Right.
false
QMSum_120
Yeah.
so you 're not really getting the vocal excitation.
Right.
That 's why I was going to the why I was referring to it in a more a more , uh , uh , conservative way , when I was saying " well , it 's yeah , it 's the excitation ". But it 's not really the excitation. It 's whatever it is that 's different between
false
QMSum_120
so you 're not really getting the vocal excitation.
Right.
That 's why I was going to the why I was referring to it in a more a more , uh , uh , conservative way , when I was saying " well , it 's yeah , it 's the excitation ". But it 's not really the excitation. It 's whatever it is that 's different between
Oh. This moved in the
false
QMSum_120
Right.
That 's why I was going to the why I was referring to it in a more a more , uh , uh , conservative way , when I was saying " well , it 's yeah , it 's the excitation ". But it 's not really the excitation. It 's whatever it is that 's different between
Oh. This moved in the
So so , stand standing back from that , you sort of say there 's this very detailed representation.
false
QMSum_120
That 's why I was going to the why I was referring to it in a more a more , uh , uh , conservative way , when I was saying " well , it 's yeah , it 's the excitation ". But it 's not really the excitation. It 's whatever it is that 's different between
Oh. This moved in the
So so , stand standing back from that , you sort of say there 's this very detailed representation.
Yeah.
false
QMSum_120
Oh. This moved in the
So so , stand standing back from that , you sort of say there 's this very detailed representation.
Yeah.
You go to a smooth representation.
false
QMSum_120
So so , stand standing back from that , you sort of say there 's this very detailed representation.
Yeah.
You go to a smooth representation.
Mm - hmm.
false
QMSum_120
Yeah.
You go to a smooth representation.
Mm - hmm.
You go to a smooth representation cuz this typically generalizes better.
false
QMSum_120
You go to a smooth representation.
Mm - hmm.
You go to a smooth representation cuz this typically generalizes better.
Mm - hmm.
false
QMSum_120
Mm - hmm.
You go to a smooth representation cuz this typically generalizes better.
Mm - hmm.
Um , but whenever you smooth you lose something , so the question is have you lost something you can you use ?
false
QMSum_120
You go to a smooth representation cuz this typically generalizes better.
Mm - hmm.
Um , but whenever you smooth you lose something , so the question is have you lost something you can you use ?
Right.
false
QMSum_120
Mm - hmm.
Um , but whenever you smooth you lose something , so the question is have you lost something you can you use ?
Right.
Um , probably you wouldn't want to go to the extreme of just ta saying " OK , our feature set will be the FFT " , cuz we really think we do gain something in robustness from going to something smoother , but maybe there 's something that we missed.
false
QMSum_120
Um , but whenever you smooth you lose something , so the question is have you lost something you can you use ?
Right.
Um , probably you wouldn't want to go to the extreme of just ta saying " OK , our feature set will be the FFT " , cuz we really think we do gain something in robustness from going to something smoother , but maybe there 's something that we missed.
Mm - hmm.
false
QMSum_120
Right.
Um , probably you wouldn't want to go to the extreme of just ta saying " OK , our feature set will be the FFT " , cuz we really think we do gain something in robustness from going to something smoother , but maybe there 's something that we missed.
Mm - hmm.
So what is it ?
false
QMSum_120
Um , probably you wouldn't want to go to the extreme of just ta saying " OK , our feature set will be the FFT " , cuz we really think we do gain something in robustness from going to something smoother , but maybe there 's something that we missed.
Mm - hmm.
So what is it ?
Yeah.
false
QMSum_120
Mm - hmm.
So what is it ?
Yeah.
And then you go back to the intuition that , well , you don't really get the excitation , but you get something related to it.
false
QMSum_120
So what is it ?
Yeah.
And then you go back to the intuition that , well , you don't really get the excitation , but you get something related to it.
Mm - hmm.
false
QMSum_120
Yeah.
And then you go back to the intuition that , well , you don't really get the excitation , but you get something related to it.
Mm - hmm.
And it and as you can see from those pictures , you do get something that shows some periodicity , uh , in frequency ,
false
QMSum_120
And then you go back to the intuition that , well , you don't really get the excitation , but you get something related to it.
Mm - hmm.
And it and as you can see from those pictures , you do get something that shows some periodicity , uh , in frequency ,
Mm - hmm.
false
QMSum_120
Mm - hmm.
And it and as you can see from those pictures , you do get something that shows some periodicity , uh , in frequency ,
Mm - hmm.
you know , and and and also in time.
false
QMSum_120
And it and as you can see from those pictures , you do get something that shows some periodicity , uh , in frequency ,
Mm - hmm.
you know , and and and also in time.
Hmm.
false
QMSum_120
Mm - hmm.
you know , and and and also in time.
Hmm.
So
false
QMSum_120
you know , and and and also in time.
Hmm.
So
That 's that 's really neat.
false
QMSum_120
Hmm.
So
That 's that 's really neat.
so ,
false
QMSum_120
So
That 's that 's really neat.
so ,
So you don't have one for unvoiced picture ?
false
QMSum_120
That 's that 's really neat.
so ,
So you don't have one for unvoiced picture ?
Uh , not here.
false
QMSum_120
so ,
So you don't have one for unvoiced picture ?
Uh , not here.
Oh.
false
QMSum_120
So you don't have one for unvoiced picture ?
Uh , not here.
Oh.
No , I have s
false
QMSum_120
Uh , not here.
Oh.
No , I have s
Mm - hmm.
false
QMSum_120
Oh.
No , I have s
Mm - hmm.
Yeah.
false
QMSum_120
No , I have s
Mm - hmm.
Yeah.
But not here.
false
QMSum_120
Mm - hmm.
Yeah.
But not here.
But presumably you 'll see something that won't have this kind of , uh , uh , uh , regularity in frequency , uh , in the
false
QMSum_120
Yeah.
But not here.
But presumably you 'll see something that won't have this kind of , uh , uh , uh , regularity in frequency , uh , in the
But Yeah. Well.
false
QMSum_120
But not here.
But presumably you 'll see something that won't have this kind of , uh , uh , uh , regularity in frequency , uh , in the
But Yeah. Well.
Not here.
false
QMSum_120
But presumably you 'll see something that won't have this kind of , uh , uh , uh , regularity in frequency , uh , in the
But Yeah. Well.
Not here.
I would li I would like to see those pictures.
false
QMSum_120
But Yeah. Well.
Not here.
I would li I would like to see those pictures.
Well , so.
false
QMSum_120
Not here.
I would li I would like to see those pictures.
Well , so.
Yeah.
false
QMSum_120
I would li I would like to see those pictures.
Well , so.
Yeah.
I can't see you now.
false
QMSum_120
Well , so.
Yeah.
I can't see you now.
Yeah.
false
QMSum_120
Yeah.
I can't see you now.
Yeah.
Yeah.
false
QMSum_120
I can't see you now.
Yeah.
Yeah.
Yeah.
false
QMSum_120
Yeah.
Yeah.
Yeah.
Mm - hmm.
false
QMSum_120
Yeah.
Yeah.
Mm - hmm.
I don't have.
false
QMSum_120
Yeah.
Mm - hmm.
I don't have.
And so you said this is pretty doing this kind of thing is pretty robust to noise ?
false
QMSum_120
Mm - hmm.
I don't have.
And so you said this is pretty doing this kind of thing is pretty robust to noise ?
It seems , yeah. Um ,
false
QMSum_120
I don't have.
And so you said this is pretty doing this kind of thing is pretty robust to noise ?
It seems , yeah. Um ,
Huh.
false
QMSum_120