Dolphin Whistle Visualization Framework: MySQL Query Approach

This study proposes a visualization framework for bottlenose dolphin (Tursiops truncatus) whistle classification using statistical signal properties such as slope, standard deviation, kurtosis, skewness, minimum and maximum frequency, frequency range, absolute value, and duration. For each whistle, all statistical properties are stored in a MySQL database, one of the relational databases, so that users can classify whistles. Moreover, correlation values are provided in a heat map to examine the similarity of whistles among the population. This framework will allow marine mammal researchers to determine the whistle properties of individual bottlenose dolphins. Researchers can then investigate behavioral and ecological questions such as (i) does whistle structure differs among dolphin populations (ii) and does anthropogenic noise affects whistle structure.