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14
Um , we just How did we do it up again ?
Uh , we distend the we have the twenty - three coefficient af after the mel f filter ,
Mm - hmm.
and we extend these coefficient between the all the frequency range.
false
QMSum_120
Uh , we distend the we have the twenty - three coefficient af after the mel f filter ,
Mm - hmm.
and we extend these coefficient between the all the frequency range.
Mm - hmm.
false
QMSum_120
Mm - hmm.
and we extend these coefficient between the all the frequency range.
Mm - hmm.
And i the interpolation i between the point is give for the triang triangular filter , the value of the triangular filter and of this way we obtained this mode this model speech.
false
QMSum_120
and we extend these coefficient between the all the frequency range.
Mm - hmm.
And i the interpolation i between the point is give for the triang triangular filter , the value of the triangular filter and of this way we obtained this mode this model speech.
So you essentially take the values that th that you get from the triangular filter and extend them to sor sort of like a rectangle , that 's at that m value.
false
QMSum_120
Mm - hmm.
And i the interpolation i between the point is give for the triang triangular filter , the value of the triangular filter and of this way we obtained this mode this model speech.
So you essentially take the values that th that you get from the triangular filter and extend them to sor sort of like a rectangle , that 's at that m value.
Yeah.
false
QMSum_120
And i the interpolation i between the point is give for the triang triangular filter , the value of the triangular filter and of this way we obtained this mode this model speech.
So you essentially take the values that th that you get from the triangular filter and extend them to sor sort of like a rectangle , that 's at that m value.
Yeah.
Yeah. I think we have linear interpolation.
false
QMSum_120
So you essentially take the values that th that you get from the triangular filter and extend them to sor sort of like a rectangle , that 's at that m value.
Yeah.
Yeah. I think we have linear interpolation.
Mm - hmm.
false
QMSum_120
Yeah.
Yeah. I think we have linear interpolation.
Mm - hmm.
So we have we have one point for one energy for each filter bank ,
false
QMSum_120
Yeah. I think we have linear interpolation.
Mm - hmm.
So we have we have one point for one energy for each filter bank ,
mmm Yeah , it 's linear.
false
QMSum_120
Mm - hmm.
So we have we have one point for one energy for each filter bank ,
mmm Yeah , it 's linear.
Mmm.
false
QMSum_120
So we have we have one point for one energy for each filter bank ,
mmm Yeah , it 's linear.
Mmm.
Oh.
false
QMSum_120
mmm Yeah , it 's linear.
Mmm.
Oh.
which is the energy that 's centered on on on the triangle
false
QMSum_120
Mmm.
Oh.
which is the energy that 's centered on on on the triangle
Yeah. At the n at the center of the filter
false
QMSum_120
Oh.
which is the energy that 's centered on on on the triangle
Yeah. At the n at the center of the filter
So you you end up with a vector that 's the same length as the FFT vector ?
false
QMSum_120
which is the energy that 's centered on on on the triangle
Yeah. At the n at the center of the filter
So you you end up with a vector that 's the same length as the FFT vector ?
Yeah. That 's right.
false
QMSum_120
Yeah. At the n at the center of the filter
So you you end up with a vector that 's the same length as the FFT vector ?
Yeah. That 's right.
Yeah.
false
QMSum_120
So you you end up with a vector that 's the same length as the FFT vector ?
Yeah. That 's right.
Yeah.
And then you just , uh , compute differences
false
QMSum_120
Yeah. That 's right.
Yeah.
And then you just , uh , compute differences
Yeah. I have here one example if you if you want see something like that.
false
QMSum_120
Yeah.
And then you just , uh , compute differences
Yeah. I have here one example if you if you want see something like that.
Then we compute the difference.
false
QMSum_120
And then you just , uh , compute differences
Yeah. I have here one example if you if you want see something like that.
Then we compute the difference.
and ,
false
QMSum_120
Yeah. I have here one example if you if you want see something like that.
Then we compute the difference.
and ,
Yeah. Uh - huh.
false
QMSum_120
Then we compute the difference.
and ,
Yeah. Uh - huh.
OK.
false
QMSum_120
and ,
Yeah. Uh - huh.
OK.
uh , sum the differences ?
false
QMSum_120
Yeah. Uh - huh.
OK.
uh , sum the differences ?
So. And I think the variance is computed only from , like , two hundred hertz to one to fifteen hundred.
false
QMSum_120
OK.
uh , sum the differences ?
So. And I think the variance is computed only from , like , two hundred hertz to one to fifteen hundred.
Oh ! OK.
false
QMSum_120
uh , sum the differences ?
So. And I think the variance is computed only from , like , two hundred hertz to one to fifteen hundred.
Oh ! OK.
Mm - hmm.
false
QMSum_120
So. And I think the variance is computed only from , like , two hundred hertz to one to fifteen hundred.
Oh ! OK.
Mm - hmm.
Two thou two fifteen hundred ?
false
QMSum_120
Oh ! OK.
Mm - hmm.
Two thou two fifteen hundred ?
Mm - hmm.
false
QMSum_120
Mm - hmm.
Two thou two fifteen hundred ?
Mm - hmm.
Because
false
QMSum_120
Two thou two fifteen hundred ?
Mm - hmm.
Because
No.
false
QMSum_120
Mm - hmm.
Because
No.
Right.
false
QMSum_120
Because
No.
Right.
Two hundred and fifty thousand.
false
QMSum_120
No.
Right.
Two hundred and fifty thousand.
Fifteen hundred. Because Yeah.
false
QMSum_120
Right.
Two hundred and fifty thousand.
Fifteen hundred. Because Yeah.
Yeah. Two thousand and fifteen hundred.
false
QMSum_120
Two hundred and fifty thousand.
Fifteen hundred. Because Yeah.
Yeah. Two thousand and fifteen hundred.
Above , um it seems that Well , some voiced sound can have also , like , a noisy part on high frequencies , and But
false
QMSum_120
Fifteen hundred. Because Yeah.
Yeah. Two thousand and fifteen hundred.
Above , um it seems that Well , some voiced sound can have also , like , a noisy part on high frequencies , and But
Yeah.
false
QMSum_120
Yeah. Two thousand and fifteen hundred.
Above , um it seems that Well , some voiced sound can have also , like , a noisy part on high frequencies , and But
Yeah.
Well , it 's just
false
QMSum_120
Above , um it seems that Well , some voiced sound can have also , like , a noisy part on high frequencies , and But
Yeah.
Well , it 's just
No , it 's makes sense to look at low frequencies.
false
QMSum_120
Yeah.
Well , it 's just
No , it 's makes sense to look at low frequencies.
So this is uh , basically this is comparing an original version of the signal to a smoothed version of the same signal ?
false
QMSum_120
Well , it 's just
No , it 's makes sense to look at low frequencies.
So this is uh , basically this is comparing an original version of the signal to a smoothed version of the same signal ?
Yeah.
false
QMSum_120
No , it 's makes sense to look at low frequencies.
So this is uh , basically this is comparing an original version of the signal to a smoothed version of the same signal ?
Yeah.
Right. So i so i i this is I mean , i you could argue about whether it should be linear interpolation or or or or zeroeth order , but but
false
QMSum_120
So this is uh , basically this is comparing an original version of the signal to a smoothed version of the same signal ?
Yeah.
Right. So i so i i this is I mean , i you could argue about whether it should be linear interpolation or or or or zeroeth order , but but
Uh - huh.
false
QMSum_120
Yeah.
Right. So i so i i this is I mean , i you could argue about whether it should be linear interpolation or or or or zeroeth order , but but
Uh - huh.
at any rate something like this is what you 're feeding your recognizer , typically.
false
QMSum_120
Right. So i so i i this is I mean , i you could argue about whether it should be linear interpolation or or or or zeroeth order , but but
Uh - huh.
at any rate something like this is what you 're feeding your recognizer , typically.
Like which of the ?
false
QMSum_120
Uh - huh.
at any rate something like this is what you 're feeding your recognizer , typically.
Like which of the ?
No. Uh , so the mel cepstrum is the is the is the cepstrum of this this , uh , spectrum or log spectrum ,
false
QMSum_120
at any rate something like this is what you 're feeding your recognizer , typically.
Like which of the ?
No. Uh , so the mel cepstrum is the is the is the cepstrum of this this , uh , spectrum or log spectrum ,
So this is Yeah.
false
QMSum_120
Like which of the ?
No. Uh , so the mel cepstrum is the is the is the cepstrum of this this , uh , spectrum or log spectrum ,
So this is Yeah.
Yeah. Right , right.
false
QMSum_120
No. Uh , so the mel cepstrum is the is the is the cepstrum of this this , uh , spectrum or log spectrum ,
So this is Yeah.
Yeah. Right , right.
whatever it You - you 're subtracting in in in power domain or log domain ?
false
QMSum_120
So this is Yeah.
Yeah. Right , right.
whatever it You - you 're subtracting in in in power domain or log domain ?
In log domain. Yeah.
false
QMSum_120
Yeah. Right , right.
whatever it You - you 're subtracting in in in power domain or log domain ?
In log domain. Yeah.
Log domain.
false
QMSum_120
whatever it You - you 're subtracting in in in power domain or log domain ?
In log domain. Yeah.
Log domain.
OK. So it 's sort of like division , when you do the yeah , the spectra.
false
QMSum_120
In log domain. Yeah.
Log domain.
OK. So it 's sort of like division , when you do the yeah , the spectra.
Yeah.
false
QMSum_120
Log domain.
OK. So it 's sort of like division , when you do the yeah , the spectra.
Yeah.
Uh , yeah.
false
QMSum_120
OK. So it 's sort of like division , when you do the yeah , the spectra.
Yeah.
Uh , yeah.
It 's the ratio.
false
QMSum_120
Yeah.
Uh , yeah.
It 's the ratio.
Um. Yeah. But , anyway , um and that 's
false
QMSum_120
Uh , yeah.
It 's the ratio.
Um. Yeah. But , anyway , um and that 's
So what 's th uh , what 's the intuition behind this kind of a thing ? I I don't know really know the signal - processing well enough to understand what what is that doing.
false
QMSum_120
It 's the ratio.
Um. Yeah. But , anyway , um and that 's
So what 's th uh , what 's the intuition behind this kind of a thing ? I I don't know really know the signal - processing well enough to understand what what is that doing.
So. Yeah. What happen if what we have have what we would like to have is some spectrum of the excitation signal ,
false
QMSum_120
Um. Yeah. But , anyway , um and that 's
So what 's th uh , what 's the intuition behind this kind of a thing ? I I don't know really know the signal - processing well enough to understand what what is that doing.
So. Yeah. What happen if what we have have what we would like to have is some spectrum of the excitation signal ,
Yeah. I guess that makes sense. Yeah.
false
QMSum_120
So what 's th uh , what 's the intuition behind this kind of a thing ? I I don't know really know the signal - processing well enough to understand what what is that doing.
So. Yeah. What happen if what we have have what we would like to have is some spectrum of the excitation signal ,
Yeah. I guess that makes sense. Yeah.
which is for voiced sound ideally a a pulse train
false
QMSum_120
So. Yeah. What happen if what we have have what we would like to have is some spectrum of the excitation signal ,
Yeah. I guess that makes sense. Yeah.
which is for voiced sound ideally a a pulse train
Uh - huh.
false
QMSum_120
Yeah. I guess that makes sense. Yeah.
which is for voiced sound ideally a a pulse train
Uh - huh.
and for unvoiced it 's something that 's more flat.
false
QMSum_120
which is for voiced sound ideally a a pulse train
Uh - huh.
and for unvoiced it 's something that 's more flat.
Uh - huh. Right.
false
QMSum_120
Uh - huh.
and for unvoiced it 's something that 's more flat.
Uh - huh. Right.
And the way to do this is that well , we have the we have the FFT because it 's computed in in the in the system , and we have the mel filter banks ,
false
QMSum_120
and for unvoiced it 's something that 's more flat.
Uh - huh. Right.
And the way to do this is that well , we have the we have the FFT because it 's computed in in the in the system , and we have the mel filter banks ,
Mm - hmm. Mm - hmm.
false
QMSum_120
Uh - huh. Right.
And the way to do this is that well , we have the we have the FFT because it 's computed in in the in the system , and we have the mel filter banks ,
Mm - hmm. Mm - hmm.
and so if we if we , like , remove the mel filter bank from the FFT , we have something that 's close to the excitation signal.
false
QMSum_120
And the way to do this is that well , we have the we have the FFT because it 's computed in in the in the system , and we have the mel filter banks ,
Mm - hmm. Mm - hmm.
and so if we if we , like , remove the mel filter bank from the FFT , we have something that 's close to the excitation signal.
Oh.
false
QMSum_120
Mm - hmm. Mm - hmm.
and so if we if we , like , remove the mel filter bank from the FFT , we have something that 's close to the excitation signal.
Oh.
It 's something that 's like a a a train of p a pulse train for voiced sound
false
QMSum_120
and so if we if we , like , remove the mel filter bank from the FFT , we have something that 's close to the excitation signal.
Oh.
It 's something that 's like a a a train of p a pulse train for voiced sound
OK.
false
QMSum_120
Oh.
It 's something that 's like a a a train of p a pulse train for voiced sound
OK.
Yeah.
false
QMSum_120
It 's something that 's like a a a train of p a pulse train for voiced sound
OK.
Yeah.
Oh ! OK. Yeah.
false
QMSum_120
OK.
Yeah.
Oh ! OK. Yeah.
and that 's that should be flat for
false
QMSum_120
Yeah.
Oh ! OK. Yeah.
and that 's that should be flat for
Yeah.
false
QMSum_120
Oh ! OK. Yeah.
and that 's that should be flat for
Yeah.
I see. So do you have a picture that sh ?
false
QMSum_120
and that 's that should be flat for
Yeah.
I see. So do you have a picture that sh ?
So - It 's Y
false
QMSum_120
Yeah.
I see. So do you have a picture that sh ?
So - It 's Y
Is this for a voiced segment ,
false
QMSum_120
I see. So do you have a picture that sh ?
So - It 's Y
Is this for a voiced segment ,
yeah.
false
QMSum_120
So - It 's Y
Is this for a voiced segment ,
yeah.
this picture ? What does it look like for unvoiced ?
false
QMSum_120
Is this for a voiced segment ,
yeah.
this picture ? What does it look like for unvoiced ?
Yeah.
false
QMSum_120
yeah.
this picture ? What does it look like for unvoiced ?
Yeah.
You have several some unvoiced ?
false
QMSum_120
this picture ? What does it look like for unvoiced ?
Yeah.
You have several some unvoiced ?
The dif No. Unvoiced , I don't have
false
QMSum_120
Yeah.
You have several some unvoiced ?
The dif No. Unvoiced , I don't have
Oh.
false
QMSum_120
You have several some unvoiced ?
The dif No. Unvoiced , I don't have
Oh.
for unvoiced.
false
QMSum_120
The dif No. Unvoiced , I don't have
Oh.
for unvoiced.
Yeah. So , you know , all
false
QMSum_120
Oh.
for unvoiced.
Yeah. So , you know , all
I 'm sorry.
false
QMSum_120
for unvoiced.
Yeah. So , you know , all
I 'm sorry.
But Yeah.
false
QMSum_120
Yeah. So , you know , all
I 'm sorry.
But Yeah.
Yeah.
false
QMSum_120
I 'm sorry.
But Yeah.
Yeah.
Yeah. This is the between
false
QMSum_120
But Yeah.
Yeah.
Yeah. This is the between
This is another voiced example. Yeah.
false
QMSum_120
Yeah.
Yeah. This is the between
This is another voiced example. Yeah.
No. But it 's this ,
false
QMSum_120
Yeah. This is the between
This is another voiced example. Yeah.
No. But it 's this ,
Oh , yeah. This is
false
QMSum_120
This is another voiced example. Yeah.
No. But it 's this ,
Oh , yeah. This is
but between the frequency that we are considered for the excitation
false
QMSum_120
No. But it 's this ,
Oh , yeah. This is
but between the frequency that we are considered for the excitation
Right. Mm - hmm.
false
QMSum_120
Oh , yeah. This is
but between the frequency that we are considered for the excitation
Right. Mm - hmm.
for the difference and this is the difference.
false
QMSum_120
but between the frequency that we are considered for the excitation
Right. Mm - hmm.
for the difference and this is the difference.
Yeah.
false
QMSum_120
Right. Mm - hmm.
for the difference and this is the difference.
Yeah.
This is the difference. OK.
false
QMSum_120
for the difference and this is the difference.
Yeah.
This is the difference. OK.
So , of course , it 's around zero ,
false
QMSum_120
Yeah.
This is the difference. OK.
So , of course , it 's around zero ,
Yeah.
false
QMSum_120
This is the difference. OK.
So , of course , it 's around zero ,
Yeah.
Sure looks
false
QMSum_120
So , of course , it 's around zero ,
Yeah.
Sure looks
but
false
QMSum_120
Yeah.
Sure looks
but
Hmm.
false
QMSum_120