Analytics

Real-Time Acoustic Processing Has Big Data Potential

11th Mar `14, 07:26 AM in Analytics

You’re jogging down a busy city street, cranking tunes on your smartphone, oblivious to the world around you….

BDMS
Guest Contributor
 

You’re jogging down a busy city street, cranking tunes on your smartphone, oblivious to the world around you. The intersection ahead looks clear, and you’re unaware of loud sirens signaling that a speeding ambulance is coming your way. But before disaster strikes, your smartphone shuts off the music and warns you of the approaching vehicle.

This is just one of many potential uses of real-time acoustic processing, a machine-learning system that analyzes ambient audio to predict near-future outcomes. In the example above it saved a clueless jogger from being squashed like a bug, but the technology has other potential uses too. It could, for instance, detect when industrial equipment is about to fail, alert deaf people to alarms and other auditory warnings, helping ornithologists analyze bird calls, and even monitor bodily sounds — such as heartbeats, stomach rumblings, and snoring — for use by mobile medical apps.

You’re jogging down a busy city street, cranking tunes on your smartphone, oblivious to the world around you. The intersection ahead looks clear, and you’re unaware of loud sirens signaling that a speeding ambulance is coming your way. But before disaster strikes, your smartphone shuts off the music and warns you of the approaching vehicle.

This is just one of many potential uses of real-time acoustic processing, a machine-learning system that analyzes ambient audio to predict near-future outcomes. In the example above it saved a clueless jogger from being squashed like a bug, but the technology has other potential uses too. It could, for instance, detect when industrial equipment is about to fail, alert deaf people to alarms and other auditory warnings, helping ornithologists analyze bird calls, and even monitor bodily sounds — such as heartbeats, stomach rumblings, and snoring — for use by mobile medical apps.

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