DeepSqueak Tool Identifies Marine Mammal Calls #ASA182

As the size and number of acoustic datasets increase, accurately and quickly matching the bioacoustics signals to their corresponding sources becomes more challenging and important. This is especially difficult in noisy, natural acoustic environments. At the 182nd ASA Meeting, Elizabeth Ferguson, from Ocean Science Analytics, will describe how DeepSqueak, a deep learning tool, can classify underwater acoustic signals. It uses deep neural network image recognition and classification methods to determine the important features within spectrograms, then match those features to specific sources.

Study contradicts belief that whales learn songs from one another.

A new study by a University at Buffalo researcher is directly contradicting the widely accepted cultural transmission hypothesis suggesting that whales learn their songs from other whales.
“It seems like that is not correct,” says Eduardo Mercado, a professor of psychology in UB’s College of Arts and Sciences. “Our findings indicate that neither cultural transmission nor social learning contributes significantly to how humpback whales change their songs over time.