Exam 2 Part 10 Flashcards

1
Q

Cycle-to-cycle variability in a signal (typically measured from sustained vowel productions or “extracted” vowels from connected speech).

A

Perturbation measures

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

Cycle-to-cycle variability in frequency

A

Jitter

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

Cycle-to-cycle variability in amplitude

A

Shimmer

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

Normal voice or mild impairment, might not include obvious deviations or distortions, acceptable for perturbation analysis

A

Type 1 voice

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

Disordered or desired productions, 2 different robust peaks, aperiodicity or variability results in multiple or variable fundamental frequency, Unreliable acoustic perturbation analysis; may depend on spectral analysis or other displays

A

Type 2 voice

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

Severely impaired voice, Aperiodicity or variability results in no identification of fundamental frequency, Not suitable for acoustic analysis, but may rely on auditory-perceptual judgments.

A

Type 3 voice

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

Ratio of periodic (or harmonic) signal energy to the aperiodic or noise energy in the voice waveform.

A

Harmonic (signal) to noise ratio (HNR)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

Do normal voices have a high or low HNR?

A

High

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

Do dysphonia voices have a high or low HNR?

A

Low

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

Why do normal voices have a high HNR?

A

Mostly periodic and high signal/harmonic energy

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

What is the average NHR?

A

20 dB

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

Why do dysphonia voices have a low HNR?

A

Increased aperiodic or noisy components (e.g. roughness, breathiness, turbulent noise)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

Assesses the interaction between the glottic source and the supraglottic (vocal tract) influences.

A

Spectral analysis

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

What are the 2 types of spectral analysis?

A

Spectrogram, line spectrum

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

Plots fo and Io in the time domain

A

Spectrogram

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

Plots all harmonic energies at a single point on the horizontal axis, with amplitude on the vertical axis

A

Line spectrum

17
Q

A Fast Fourier Transform (FFT) analysis of the spectrum; an FFT of an FFT

A

Cepstral analysis

18
Q

The dominant harmonic on the Cepstrum

A

Cepstral Peak Prominence (CPP)

19
Q

The sharper the CPP, the stronger the ______ energy in the voice signal.

A

Periodic

20
Q

Conversely, very “noisy” (e.g., breathy, rough) voices will have a _____ CPP.

A

Flat