| Literature DB >> 23028996 |
Benjamin D Charlton1, David Reby, William A H Ellis, Jacqui Brumm, W Tecumseh Fitch.
Abstract
Examining how increasing distance affects the information content of vocal signals is fundamental for determining the active space of a given species' vocal communication system. In the current study we played back male koala bellows in a Eucalyptus forest to determine the extent that individual classification of male koala bellows becomes less accurate over distance, and also to quantify how individually distinctive acoustic features of bellows and size-related information degrade over distance. Our results show that the formant frequencies of bellows derived from Linear Predictive Coding can be used to classify calls to male koalas over distances of 1-50 m. Further analysis revealed that the upper formant frequencies and formant frequency spacing were the most stable acoustic features of male bellows as they propagated through the Eucalyptus canopy. Taken together these findings suggest that koalas could recognise known individuals at distances of up to 50 m and indicate that they should attend to variation in the upper formant frequencies and formant frequency spacing when assessing the identity of callers. Furthermore, since the formant frequency spacing is also a cue to male body size in this species and its variation over distance remained very low compared to documented inter-individual variation, we suggest that male koalas would still be reliably classified as small, medium or large by receivers at distances of up to 150 m.Entities:
Mesh:
Year: 2012 PMID: 23028996 PMCID: PMC3447879 DOI: 10.1371/journal.pone.0045420
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Descriptive statistics for the acoustic measures of the re-recorded bellows (N = 50).
| Acoustic measures | Mean | s.d. | Minimum | Maximum |
| F1 | 245.7 | 21.5 | 212.0 | 318.5 |
| F2 | 484.5 | 32.9 | 409.0 | 564.0 |
| F3 | 734.2 | 71.7 | 592.5 | 917.5 |
| F4 | 1202.8 | 71.0 | 1066.5 | 1310.5 |
| F5 | 1663.5 | 85.7 | 1490.0 | 1826.5 |
| F6 | 2156.1 | 109.1 | 1961.5 | 2361.0 |
| ΔF | 367.0 | 14.1 | 344.8 | 399.5 |
Figure 1Waveform (a) and spectrogram (b) of a male bellow.
Spectrogram settings: FFT method; window length 0.05 s; time step = 0.004 s; frequency step = 10 Hz; Gaussian window shape; dynamic range = 35 dB. Male bellows are characterised by an introductory phase that is followed by a continuous series of inhalations and shorter exhalations.
Figure 2SNR plots.
The plots illustrate how the frequency amplitudes of bellow inhalation sections from 10 male koalas attenuate over distance. Missing values indicate that the call was not detectable at the re-recording distance.
Observed % of correct reclassification against expected levels.
| Distance (m) | Expected | Observed |
|
|
| 25 | 10% | 50% | 160 | <0.001 |
| 50 | 10% | 30% | 40 | <0.001 |
| 100 | 10% | 20% | 10 | >0.1 |
| 150 | 10% | 10% | 0 | >0.1 |
The DFA was trained to classify observation bellows re-recorded at 25 m, 50 m, 100 m, and 150 m to each of the 10 males using bellows re-recorded at 1 m. The statistical significance of correct classification was obtained using the Chi square statistic.
DFA structure matrix.
| Acoustic measures | Discriminant functions | |||
| 1 | 2 | 3 | 4 | |
| F1 | ||||
| F2 | 0.53 | |||
| F3 | 0.48 | 0.44 | −0.72 | |
| F4 | 0.41 | 0.47 | ||
| F5 | 0.68 | |||
| F6 | −0.71 | 0.76 | ||
| ΔF | 0.75 | |||
| % of variance | 62.6 | 23.4 | 7.8 | 4.8 |
The table shows pooled within-groups correlations among discriminating variables and the four standardized canonical discriminant function with eigenvalues >1. Correlations >0.4 are shown.
Absolute % difference ± s.e. at each re-recording distance.
| Acoustic measures | Mean ± s.e absolute % variation at each distance | Mean | |||
| 25 m | 50 m | 100 m | 150 m | ||
| F1 | 14.1±3.0 | 5.0±1.3 | 10.2±2.0 | 16.4±2.2 | 11.4 |
| F2 | 6.6±1.1 | 11.8±1.6 | 15.6±2.7 | 10.8±1.7 | 11.2 |
| F3 | 4.7±0.8 | 2.8±1.0 | 5.0±1.8 | 5.0±1.7 | 4.4 |
| F4 | 1.1±0.2 | 1.3±0.3 | 2.3±0.5 | 3.5±0.6 | 2.1 |
| F5 | 3.5±0.4 | 7.1±1.0 | 7.2±1.3 | 6.6±1.2 | 6.1 |
| F6 | 1.1±0.2 | 2.5±0.4 | 4.9±0.9 | 4.7±2.6 | 3.3 |
| ΔF | 0.9±0.2 | 1.8±0.4 | 2.9±0.7 | 3.0±0.7 | 2.2 |
Acoustic measures at 1 m (reference calls) were compared with those re-recorded at the other distances.
Pearson product-moment correlation coefficients.
| Distance (m) | F1 | F2 | F3 | F4 | F5 | F6 | ΔF |
| 1–25 | −0.13 |
|
|
|
|
|
|
| 1–50 | 0.22 | 0.33 |
|
|
|
|
|
| 1–100 | −0.28 | −0.07 |
|
|
|
|
|
| 1–150 | −0.25 | 0.12 |
|
|
|
|
|
Comparisons were made between acoustic measures at 1 m (reference calls) and those re-recorded at the other distances (N = 10). Values in bold denote correlations >0.5.
Figure 3Mean SNR values and regression lines for individual formants at the different distances.
The regression slope values quantify how the formant amplitudes of re-recorded bellows drop over distance (N = 10). Higher regression slope values indicate greater amplitude attenuation over distance.