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Electronics & Communications
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Speech Signal Processing Laboratory
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Cepstral Analysis of Speech
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Cepstral Analysis of Speech
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Aim
Theory
Procedure
Pre Quiz
Simulation
Post Quiz
Assignment
Slot Booking
Reference
Feedback
1)
Deconvolution process in signal processing for the time domain case refers to separation of two signal components combined in
A multiplicative manner
An additive manner
A convolutive manner
An exponential manner
2)
Deconvolution process in the signal processing for the frequency domain case refer to separation of two signal components combined in
A multiplicative manner
An additive manner
A convolutive manner
An exponential manner
3)
In the first case of deconvolution, if the i/p excitation signal is known, then the system component can be recovered by
Estimating system response for known i/p
Inverse filtering system response using known i/p
Subtracting source component in the convolved signal
Separating source and system by non-linear operation
4)
In the second case of deconvolution, if the system response is known then the i/p excitation component can be recovered by
Estimating source component for known o/p
Inverse filtering the system response using known system component.
Abstracting the system component in the convolved signal
Separating source and system by non-linear operation
5)
In the third phase of deconvolution if both the components are unknown then the two components are separated by
Estimating source components by some measure and then using it for extracting system component
Estimating system component by source measure and using it for extracting source component
Separating the source and system components by non-linear operation
All of the above
6)
In the third phase of deconvolution, if both the components are unknown then the two componets are separation
Estimating source component by some measure and then using it for extracting system components
Estimating system component by some measure and using it for extracting source component
Separating the source and system components by non-linear operation
All of the above
7)
The output signal of a system is due to
only excitation
only system response
due to both excitation and system response
8)
The process of separating the source and system components include
if i/p is known, then exciting the system with known i/ps
if system response is known, then by inverse filtering
if both are unknown, then by cepstral analysis
all of the above
9)
Cepstral analysis of speech involved separating the source and system components using knowledge of
source
system response
using both
using none
Cite this Simulator:
vlab.amrita.edu,. (2012). Cepstral Analysis of Speech. Retrieved 5 May 2024, from vlab.amrita.edu/?sub=59&brch=164&sim=615&cnt=2543
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