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Biotechnology and Biomedical Engineering
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Speech Signal Processing Laboratory
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Short Term Time Domain Processing of Speech
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Short Term Time Domain Processing of Speech
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Aim
Theory
Procedure
Pre Quiz
Simulation
Post Quiz
Assignment
Slot Booking
Reference
Feedback
1)
If the sampling frequency is 16kHz ,then the number of samples for 20 msec frame size and 10 msec frame shift are
240,120
160,80
320,160
320,80
2)
In the SCILAB code for short term energy computation given in Figure_1, the i/p parameter frame size and frame shift are in
msec
samples
sec
no unit
3)
The window function used in different SCILAB codes will perform the following:
Take window type as input and generate window function in values
Take window type & length as input and generate window function in values
Take window length as input and generate window function in values
Take window in values as input and generate window function type as output
4)
The SCI LAB function written for computing short term energy taken in speech signal as
Wav file
User input file name during running
Array of speech samples
Not required
5)
In the SCI LAB code for STE computation ,the important in sub functions are
Short term energy(STE)
Frame-size
Window length
Window and 'wavread'
6)
The peakiness of STE contour in some regions is due to
Sequencing of samples
Large amplitude values
Summation of angles
Both first and second choice
7)
The effect of increased window size during STE computation is
Increase in energy value
Increase in smoothing of energy contour
Spread of energy contour boundaries
All of the above
8)
The effect of using hamming and hanning window for STE computation compared to rectangular window is
Reduced peakiness of energy contour
Less smoothness of energy contour
Both the above choices
None
9)
The effect of different window sizes on ST ZCR computation is
Increase in smoothing of ZCR contour with increase in window size
Decrease in smoothing of ZCR contour with increase in window size
No effect on ZCR values
Effects only in the silence and voiced regions
10)
The effect of different window functions on ST ZCR computation is
Increase in smoothing of ZCR contour for rectangular window
Increase in smoothing for ZCR values for hamming and hanning window
Independent of type window function
none of the above
11)
The autocorrelation of stationary siganl is a 2d plot because
Signal does not vary with time
Spectrum of signal does not vary with time
Convenient to plot
Stationary signal is 2D
12)
The autocorrelation of speech signal is a 3D plot because
Signal does not vary with time
Spectrum of signal varies with time
Convenient to plot
Non-stationary signal is 3D by nature
Cite this Simulator:
vlab.amrita.edu,. (2012). Short Term Time Domain Processing of Speech. Retrieved 29 April 2024, from vlab.amrita.edu/?sub=3&brch=164&sim=857&cnt=2864
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