COMD 5070 Quiz with Correct Solutions
What frequency should you save at for a recording? - ✅✅ sample at twice the
rate of the highest frequency in the signal, data up to 100 Hz should be sampled at
200 Hz
What is Nyquist? - ✅✅ is half the sample rate (the highest frequency you can
reproduce)
What is quantization - ✅✅ the process of converting a voltage, which is analog,
into a number, which is digital (it creates a number that reflects a signal amplitude,
one number is a 'snap shot')
What is a sampling rate? - ✅✅ is how often you take a 'snap shot', sample rate is
in Hz, 10 samples per second = 10 Hz
What is a Fourier transforms/analysis? - ✅✅ Analyze it in such a way that it
creates a spectrum which shows what the individual components are from the time
domain waveform. A Fourier transform will give you a frequency domain display
(spectrum)
What does a spectrum show? - ✅✅ A complex sound has many ingredients like
a cake. The spectrum show how much of each ingredient is present
4 Features of the scientific method - ✅✅ 1. Empirical - based on data 2.
Deterministic - obeys physical laws (not random) 3. Predictive - if you do this ...
Then that will happen 4. Parsimonious - use the simplest explanation possible
Why do SLP's use technology? - ✅✅ 1. Overcome listener bias 2. Consistent,
reliable measure 3. Describe severity objectively 4. Track progress 5. ASHA's
focus on EBP 6. Provide biofeedback to client 7. SLP need to know normal and
disordered physiology 8. Need to know what the numbers represent
Pitch perception - ✅✅ order on a musical scale, subjective perception, cannot be
measured with instruments, listener matches perceived pitch to that of a pure tone.
Loudness perception - ✅✅ a perceptual characteristic judged by a listener,
cannot be measured by equipment, psychophysical scale links loudness to intensity
, Intensity - ✅✅ is measured in db and intensity = amplitude
IL - ✅✅ Intensity Level
SPL - ✅✅ Sound Pressure Level
HL - ✅✅ Hearing Level
Loudness is measured with - ✅✅ a sound level meter
Difference limens (dls) - ✅✅ smallest detectable change in frequency, dls
increase with stimulus frequency, as intensity decreases dls become larger
How many semitones are in one octave? - ✅✅ 12
Octave - ✅✅ is the doubling or the halving of frequency (400Hz base, 800 Hz an
octave up, 200 Hz is an octave down)
How many semitones are in two octaves? - ✅✅ 24
Voice range profile (VRP) - ✅✅ is computed using 10 frequencies. For each
frequency the speaker produces a soft sound and a loud sound. The results are then
plotted on a chart.
Root mean square (RMS) - ✅✅ 1. Squaring makes all of the values positive 2.
Get the average of the squared values 3. Get the square root of the average
Inverse Square Law - ✅✅ Intensity diminishes in proportion to the square of the
distance from the source.
Relationship of subglottic pressure to speech intensity - ✅✅ subglottic pressure
drives speech - louder speech, more driving pressure for loud speech
What is a digital signal? - ✅✅ 1. Discrete in time and amplitude 2. Numbers
represent snapshots over time 3. Numbers have a finite precision 4. There are
'unknowns' between the points
What frequency should you save at for a recording? - ✅✅ sample at twice the
rate of the highest frequency in the signal, data up to 100 Hz should be sampled at
200 Hz
What is Nyquist? - ✅✅ is half the sample rate (the highest frequency you can
reproduce)
What is quantization - ✅✅ the process of converting a voltage, which is analog,
into a number, which is digital (it creates a number that reflects a signal amplitude,
one number is a 'snap shot')
What is a sampling rate? - ✅✅ is how often you take a 'snap shot', sample rate is
in Hz, 10 samples per second = 10 Hz
What is a Fourier transforms/analysis? - ✅✅ Analyze it in such a way that it
creates a spectrum which shows what the individual components are from the time
domain waveform. A Fourier transform will give you a frequency domain display
(spectrum)
What does a spectrum show? - ✅✅ A complex sound has many ingredients like
a cake. The spectrum show how much of each ingredient is present
4 Features of the scientific method - ✅✅ 1. Empirical - based on data 2.
Deterministic - obeys physical laws (not random) 3. Predictive - if you do this ...
Then that will happen 4. Parsimonious - use the simplest explanation possible
Why do SLP's use technology? - ✅✅ 1. Overcome listener bias 2. Consistent,
reliable measure 3. Describe severity objectively 4. Track progress 5. ASHA's
focus on EBP 6. Provide biofeedback to client 7. SLP need to know normal and
disordered physiology 8. Need to know what the numbers represent
Pitch perception - ✅✅ order on a musical scale, subjective perception, cannot be
measured with instruments, listener matches perceived pitch to that of a pure tone.
Loudness perception - ✅✅ a perceptual characteristic judged by a listener,
cannot be measured by equipment, psychophysical scale links loudness to intensity
, Intensity - ✅✅ is measured in db and intensity = amplitude
IL - ✅✅ Intensity Level
SPL - ✅✅ Sound Pressure Level
HL - ✅✅ Hearing Level
Loudness is measured with - ✅✅ a sound level meter
Difference limens (dls) - ✅✅ smallest detectable change in frequency, dls
increase with stimulus frequency, as intensity decreases dls become larger
How many semitones are in one octave? - ✅✅ 12
Octave - ✅✅ is the doubling or the halving of frequency (400Hz base, 800 Hz an
octave up, 200 Hz is an octave down)
How many semitones are in two octaves? - ✅✅ 24
Voice range profile (VRP) - ✅✅ is computed using 10 frequencies. For each
frequency the speaker produces a soft sound and a loud sound. The results are then
plotted on a chart.
Root mean square (RMS) - ✅✅ 1. Squaring makes all of the values positive 2.
Get the average of the squared values 3. Get the square root of the average
Inverse Square Law - ✅✅ Intensity diminishes in proportion to the square of the
distance from the source.
Relationship of subglottic pressure to speech intensity - ✅✅ subglottic pressure
drives speech - louder speech, more driving pressure for loud speech
What is a digital signal? - ✅✅ 1. Discrete in time and amplitude 2. Numbers
represent snapshots over time 3. Numbers have a finite precision 4. There are
'unknowns' between the points
