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Biotechnology and Biomedical Engineering
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Speech Signal Processing Laboratory
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Estimation Of Pitch From Speech Signals
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Estimation Of Pitch From Speech Signals
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Aim
Theory
Procedure
Simulation
Quiz
Assignment
Slot Booking
Reference
Feedback
1)
What is the nature of execution for voiced speech?
Near periodic vibration of vocal folds.
Random noise.
Single impulse.
No excitation.
2)
What is the nature of excitation for unvoiced speech?
Near periodic vibration of vocal folds.
Random noise.
Single impulse.
No excitation
3)
What is the nature of excitation for silence region
Near periodic vibration of vocal folds
Random noise
Single impulse
No excitation
4)
In the time domain, the voiced speech looks like
Nearly periodic signal
Nearly aperiodic signal
Random noise like sequence
Impulse train
5)
In the time domain , the unvoiced speech looks like
Nearly periodic signal
Nearly aperiodic signal
Random noise like sequence
Impulse train
6)
Unless specified pitch refer to
Pitch Period 'To'
Pitch frequency or Fundamental Frequency 'Fo'
...
Excitation impulse
7)
If pitch period To and the sampling frequency Fs are given in samples, then pitch Fo can be computed as
Fo=To/Fs
Fo=Fs/To
Fo=Fs/2To
Fo=Fs.To
8)
Cepstrum is defined as
Inverse Fourier transform of magnitude spectrum
Inverse Fourier transform of log magnitude spectrum
Inverse Fourier transform of vocal fraction magnitude spectrum
Inverse Fourier transform of excitation source magnitude spectrum
9)
Autocorrelation gives
Similarity of given sequence with itself at different time lags.
Similarity of two different sequence at different time lags.
Similarity of part of the given sequence with itself at different time lags.
Similarity of part of two different sequence at different time lags.
10)
Linear Prediction (LP) analysis involves estimation of
Vocal tract information by prediction.
Excitation information by prediction.
Both vocal tract and excitation information by prediction.
All of the above
11)
SIFT method estimates pitch by the
Autocorrelation of LP residual may optimal LP order
Autocorrelation of LP residual may arbitrarily LP order
Autocorrelation of LP residual may zeroth LP order
Autocorrelation of speech and then inverse filtering
12)
The limitation of autocorrelation of speech method for pitch estimation is
Computation complexity is high compared to cepstrum and SIFT.
Ambiguous peaks due to vocal tract information.
Mixing peaks due to pitch period.
All of the above.
Cite this Simulator:
vlab.amrita.edu,. (2011). Estimation Of Pitch From Speech Signals. Retrieved 8 May 2024, from vlab.amrita.edu/?sub=3&brch=164&sim=1012&cnt=1849
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