Wolves Have Different ‘Howling Dialects,’ Machine Learning Finds

Researchers have used algorithms to distinguish different wolf dialects. Image: Arik Kershenbaum Differentiating wolf howls with human ears can prove tricky, so researchers have turned to computer algorithms to suss out if different wolf species howl differently. They think that understanding wolf howls could help improve wolf conservation and management programs. In a study published in the journal Behavioural Processes, a group of international researchers describe using machine learning for the first time to analyse 2,000 wolf howls gathered from both wild and domesticated wolves and their subspecies from around the world. “Rather than looking at these howls and saying, ‘This one sounds like that and this,’ we wanted to remove that kind of subjective analysis.” Arik Kershenbaum, a research fellow at the University of Cambridge’s Department of Zoology and…

Link to Full Article: Wolves Have Different ‘Howling Dialects,’ Machine Learning Finds

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