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How a Whale Tried to Bridge the Linguistic Divide Between Humans and Animals
Rizzle
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2 months ago
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00:00
How a whale tried to bridge the linguistic divide between humans and animals.
00:04
In 1984, during the U.S. Navy Marine Mammal Program,
00:08
Nock, a beluga whale, shocked everyone by mimicking human voices.
00:13
A diver emerged asking who instructed him to leave,
00:16
revealing Nock's astonishing vocal ability.
00:21
A diver first noticed Nock mimicking human speech,
00:25
distinctly hearing out, out, out.
00:27
The team recorded his vocalizations.
00:30
Using rewards to teach him to speak on command.
00:34
A pressure sensor was placed in Nock's nasal cavity
00:36
to study how whale biology produces these noises.
00:42
Initially skeptical, Sam Ridgway,
00:45
president of the National Marine Mammal Foundation,
00:48
confirmed Nock's mimicking abilities in 2012.
00:51
Analysis of Nock's sound waves revealed differences from typical beluga sounds,
00:56
resembling human voices in rhythm and acoustic spectrum.
00:59
Ridgway led the study on Nock's behavior.
01:05
Pressure sensors verified.
01:07
Nock mimicked human speech by altering rhythm and pitch,
01:10
adjusting nasal pressure,
01:11
inflating the vestibular sac,
01:13
and modifying muscles for deliberate communication.
01:16
Ridgway noted in 2012,
01:17
Nock's vocal changes indicated a strong motivation for contact.
01:25
Nock, a beluga whale, was crucial in the U.S. Marine program.
01:30
Initially trained for mine detection in the 1960s,
01:33
belugas excelled in 1970s Arctic Cold War Ops,
01:37
leveraging their sonar and cold water adaptability for the Cold Ops initiative.
01:41
Two-year-old Nock,
01:45
the youngest of six belugas caught by Inuit hunters,
01:49
spent his life in captivity, working with trainers.
01:52
He participated in two secret Navy missions,
01:54
and gained fame in 2012 when Current Biology published his speech study.
01:58
In this video,
02:04
we'd like to use a few weeks of work.
02:09
So,
02:09
nock of thing is a very fun thing to do.
02:10
We'll see you next time.
02:11
We'll see you next time.
02:12
We'll see you next time.
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