Quantitative Tools for Examining the Vocalizations of Juvenile Songbirds

<table class="table-group" id="tab1"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td align="left">Parameter</td><td align="center">Value</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td align="left">STFT window width</td><td align="center">500 samples (11.6 msec)</td></tr><tr><td align="left">STFT step size</td><td align="center">100 samples (2.9 msec)</td></tr><tr><td align="left">STFT bandpass cutoffs</td><td align="center">500 Hz–7500 Hz</td></tr><tr><td align="left">Model window width</td><td align="center">11 symbols (34.0 msec)</td></tr><tr><td align="left">Number of power spectra clustered</td><td align="center">7 500</td></tr><tr><td align="left">Number of prototypes generated</td><td align="center">120</td></tr><tr><td align="left">Silence cutoff level</td><td align="center">0.01 (arbitrary units)</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

Parameters used in all examples, unless specified otherwise.

Computational Intelligence and Neuroscience

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Table 1

Table 1: Quantitative Tools for Examining the Vocalizations of Juvenile Songbirds 