Questions from Quiz 5 Flashcards

1
Q

Which of the following is TRUE about periodic and aperiodic waves in speech? (Two correct answers.)

a) Voiced fricatives contain both periodic and aperiodic components due to vocal fold vibration and turbulent airflow.
b) Voiceless fricatives produce periodic waves with clearly repeating patterns.
c) All approximant sounds produce complex waves containing aperiodic waves.
d) Vowels typically produce periodic waves due to the regular vibration of the vocal folds.

A

a) Voiced fricatives contain both periodic and aperiodic components due to vocal fold vibration and turbulent airflow.
d) Vowels typically produce periodic waves due to the regular vibration of the vocal folds.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

How does adding multiple sine waves of different frequencies affect the resulting wave? (One correct answer.)

a) It produces a sine wave with an amplitude equal to the sum of the amplitudes of the original waves.
b) It eliminates the periodicity of the wave, making it completely aperiodic.
c) It generates a complex wave that combines the properties of the individual sine waves.
d) It always results in a simple sine wave with a higher frequency.

A

c) It generates a complex wave that combines the properties of the individual sine waves.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

Which of the following statements about analog signals is TRUE? (Two correct answers.)

a) To digitize analog signals, we must sample them at specific intervals, which means only some values are retained.
b) Analog signals have a finite set of possible values for points in time.
c) Analyzing analog signals is generally slower than analyzing digital signals due to their continuous nature.
d) The digitization of analog signals involves storing all possible values continuously.

A

a) To digitize analog signals, we must sample them at specific intervals, which means only some values are retained.
c) Analyzing analog signals is generally slower than analyzing digital signals due to their continuous nature.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

Which of the following statements about the sampling rate and its impact on digital signals is FALSE? (One correct answer.)

a) A sampling rate equal to the Nyquist limit is sufficient to perfectly reconstruct all components of the signal.
b) Increasing the sampling rate above twice the highest frequency of interest reduces aliasing.
c) The choice of sampling rate influences the storage space and processing power required for the digital signal.
d) A sampling rate lower than the Nyquist frequency causes aliasing, distorting the original signal.

A

a) A sampling rate equal to the Nyquist limit is sufficient to perfectly reconstruct all components of the signal.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

Which of the following correctly describes the behavior of a sine wave function as the angle increases? (One correct answer.)

a) The sine value oscillates between -2 and +2, determining the amplitude of the wave.
b) The sine value remains constant as the angle changes, representing a steady signal amplitude.
c) The sine value increases continuously without oscillation as the angle increases beyond 90 degrees.
d) The sine value oscillates between -1 and +1, representing the ratio of the opposite side to the hypotenuse.

A

d) The sine value oscillates between -1 and +1, representing the ratio of the opposite side to the hypotenuse.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

Which of the following is true about quantization in digitizing analog signals? (Two correct answers.)

a) Quantization introduces quantization noise/error due to rounding of signal values.
b) Quantization ensures that the signal retains its continuous nature even in digital form.
c) Quantization increases the accuracy of analog signal representation.
d) Increasing the bit depth improves the accuracy of representation and reduces quantization error.

A

a) Quantization introduces quantization noise/error due to rounding of signal values.
d) Increasing the bit depth improves the accuracy of representation and reduces quantization error.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly