But America’s most populous metropolis, known as “The City That Never Sleeps”, has launched a unique experiment seeking to provide New York with the technology to turn down the volume and address noise pollution.
The five-year, $4.6 million (B156.3mn) project – the brainchild of researchers at New York University (NYU), working in concert with city residents and city hall – is using machine learning technology and sensors to build a sound library.
The idea is to record the full panoply of noises in the city of 8.5 million residents and use artificial intelligence so that machines can recognise sounds automatically, ultimately giving authorities a way to mitigate noise levels.
“It is like living in the middle of a soccer stadium sometimes,” says Gregory Orr, a film-maker from Los Angeles who has lived in New York for 19 years.
“Even the squirrels have to chirp louder in the city in order to be heard over the din,” he jokes.
Juan Bello, head of the “Sounds of NYC” project and associate professor of music technology at NYU, says noise is “consistently the number one civil complaint” to the city’s 311 telephone hotline for non-emergency services, instituted in 2003.
Researchers installed the first sensor boxes, which transmit data through Wi-Fi, on NYU buildings in Greenwich Village.
They’re now installing sensors across Manhattan and Brooklyn at spots selected for their diverse sounds. By the end of the year, there should be 100 in place.
“There are plenty of studies showing that noise has a tremendous impact on health, both short-term and long-term,” says Bello, citing heart conditions, hearing loss and hypertension, which then have a significant economic impact.
Educational performance is also shown to suffer among children subjected to high noise levels.
In Manhattan, Bello says the effects are amplified by skyscrapers, which form “canyons of sound” and make everything louder.
“A lot of the sounds that you get in New York would not be so loud in other places, because of the specifics of the topology of the city,” he said.
That was the concept from which the project was born, and it is being financed by the National Science Foundation.
The sensors are programmed to record no more than 10 consecutive seconds to avoid eavesdropping on conservations and posing confidentiality problems.
Researchers hope to index thousands of sounds which, with the help of New Yorkers, will be carefully annotated and help computers identify the source of nuisance sound immediately.
It would then be over to the city to do what it can to limit it.
The problem is clear. But the solutions might still be some way off.
How, for example, do you deal with something as short-lived and unpredictable as honking?
“We have to get more creative,” says Bello.
Today, it can take authorities five or six days to deal with a noise complaint, and requires the intervention of one of 50 specialist inspectors, says Bello. After so long, the problem has often disappeared.
Those who call the police on noisy neighbours can be given short shrift by officers who have more pressing priorities.
Arline Bronzaft, environmental psychologist and professor emerita at City University of New York, has spent years speaking out about the harmful effects of noise and need for better controls.
Delighted that the project is taking place, she says noise levels affect how New Yorkers behave.
“Some of the reason people walk fast is to get away from the noise and New Yorkers talk loud because we are competing with sounds,” she said.
For a long time, officials minimised the consequences of noise pollution, accusing people of exaggerating – a bit like how the tobacco industry spent decades refusing to acknowledge the risks of smoking on your health.
But today she credits authorities with being “cognisant of the problem”.
The first results gathered by Bello’s team tend to confirm that the problem is under-reported, that there are more noise violations than the 311 log seems to suggest, at least for sounds linked to construction.
New York may not be the only loud city in the world, but Bello calls it “a perfect laboratory” to test solutions that can be adopted and transferred “to many other places in the US and around the world”.
“That’s ultimately the objective,” he says. “We will generate a core set of technologies that can be applied to this problem anywhere.”