Table 1.
Time-frequency based features presented in Parkinson speech dataset with multiple types of sound recordings [13].
| Feature number | Feature name | Group |
|---|---|---|
| 1 | Jitter (local) | Frequency parameter |
| 2 | Jitter (local, absolute) | |
| 3 | Jitter (rap) | |
| 4 | Jitter (ppq5) | |
| 5 | Jitter (ddp) | |
|
| ||
| 6 | Number of pulses | Pulse parameters |
| 7 | Number of periods | |
| 8 | Mean period | |
| 9 | Standard deviation of period | |
|
| ||
| 10 | Shimmer (local) | Amplitude parameters |
| 11 | Shimmer (local, dB) | |
| 12 | Shimmer (apq3) | |
| 13 | Shimmer (apq5) | |
| 14 | Shimmer (apq11) | |
| 15 | Shimmer (dda) | |
|
| ||
| 16 | Fraction of locally unvoiced frames | Voicing parameters |
| 17 | Number of voice breaks | |
| 18 | Degree of voice breaks | |
|
| ||
| 19 | Median pitch | Pitch parameters |
| 20 | Mean pitch | |
| 21 | Standard deviation | |
| 22 | Minimum pitch | |
| 23 | Maximum pitch | |
|
| ||
| 24 | Autocorrelation | Harmonicity parameters |
| 25 | Noise-to-harmonic | |
| 26 | Harmonic-to-noise | |