Startup That Translates Baby Cries
Is Planning To Expand To Help Parents Detect Autism Early
By Disability Insider
During the first months of a newborn’s life, parents struggle to know what their babies are crying about – what exactly do they want?
Ana
Laguna, a 33-year-old scientist and expert in data management, had her first
child in 2016. After a few hours of crying, she came up with an idea — there
had to be a way of translating a newborn’s cries, so, as reported by Business
Insider, Laguna decided to record her own baby’s cry to look for patterns.
Over
the years, Laguna’s ‘idea’ converted into a fully-fledged company called
Zoundream, which develops software to translate newborn babies’ cries,
especially those up to six months of age.
According
to Business Insider, Zoundream raised almost $1 million in crowdfunding. It is
now turning its attention to utilizing its research into detecting atypical
developments in newborns.
There
are more than 7,000 languages in the world; however, the way newborn babies
communicate their ‘wants’ is all-inclusive.
Business
Insider reported that Zoundream translates babies’ cries into five varieties:
hunger, sleep, pain, gas, and the desire for bonding or to be held.
This
classification method is most effective on babies up to three months old, when
crying is the most authentic.
Laguna
told Business Insider that she has enhanced the project by including recordings
of babies from around the globe.
Zoundream
has collected thousands of hours of cries provided by parents in Europe, Asia,
and the entire American continent.
This
means Zoundream is already working on refining translations through devices
that are still just prototypes, reported Business Insider.
Zoundream
is creating connections with companies that will help to integrate this
technology in prams, bracelets, or even in surveillance cameras.
The
company has received tremendous feedback.
“I
remember, for example, a mother who said that her son wouldn’t stop crying. The
recordings told us that he was hungry,” said Laguna. “It didn’t make sense to
her, because she kept breastfeeding him. Eventually, she told us that we were
right, that the doctor had detected a problem with his lingual frenulum and
that he wasn’t feeding well.”
It was
situations like these that motivated Zoundream to take the next leap and use
their technology to discern atypical developments through the way babies cry.
“The
cry of a child on the autistic spectrum is very characteristic, very hoarse.
You can see it quite clearly on the spectrogram.”
By
doing this, Laguna explained that they hope to help improve early autism
diagnoses, which can greatly improve quality of life.
“In
cases of early diagnosis,” she said, “autism is detected at around the age of
two. Imagine the improvement if it could be done before the age of six months.”
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