Last Updated by Adam
Wernick on Aug 02, 2016 at 2:44 pm
A group of researchers at New
York University and the Cornell Lab of Ornithology are helping to track the
nighttime migratory patterns of birds by teaching a computer to recognize their
flight calls.
The technique, called acoustic
monitoring, has existed for some time, but the development of advanced computer
algorithms may provide researchers with better information than they have
gathered in the past.
“We want to make as many
different kinds of measurements as we can,” says Andrew Farnsworth, of
the Cornell
Lab of Ornithology. “The intro point to go from human to computer is
about thinking of these sounds in terms of frequency and time, and figuring out
how to measure that in increasing detail and feed that information into the
machine’s listening models.”
“On the sensors, there is a
spectral template detector that scans the audio as it comes in, checking for
potential matches,” explains Justin Solomon of NYU, one of the collaborators on
the project. “When a potential match is identified, it snaps roughly one second
of that audio centered around the detection and sends that through the server.”
Flight calls are distinct from
birdsong. Birdsong is made up of many different notes strung together. Flight
calls are single notes, almost exclusively less than one hundred milliseconds
long. The researchers ‘teach’ the machine to recognize these calls by giving it
a large collection of recordings.
Then they use what's called
‘unsupervised feature learning,’ which means that they don't tell the algorithm
what to look for. Rather, by giving it a large number of examples, the computer
builds a statistical model of the specific patterns that are representative of
a certain species.
The eventual goal is to be able
to put names to these nocturnally-migrating species and do it in an automated
way in real time, in order to understand the biology — the acoustic
communication — and apply it to conservation.
Right now, scientists use two
sources of information when trying to understand migratory patterns. The first
is bird watchers — many people watching birds all across the country. Cornell
has been good at gathering information from citizen scientists who help
categorize the occurrence of certain species by location and time. But those
observations are mostly made by day, and migrations often occur at night.
No comments:
Post a Comment