ID R&D Announces Release of Acoustic Event Detection Solution to Monitor Audio Streams for Important Sounds

Acoustic Event Detection fully automates non-speech monitoring of audio, turning microphones into security and alerting devices

New York,

NEW YORK, NY, March 18, 2019 (GLOBE NEWSWIRE) -- ID R&D, the award-winning biometrics technology provider offering proprietary AI-based, voice biometrics and frictionless and passive voice and face anti-spoofing biometric technologies, today announced the release of a new capability, Acoustic Event Detection, that can turn any internet-connected piece of hardware with a microphone into a security and safety-monitoring device.

Acoustic or non-speech events such as a baby crying, dog barking, glass breaking, or an elderly person suffering from a coughing attack often require immediate action. Yet to manually monitor for such events requires constant and uninterrupted attention. ID R&D’s Acoustic Event Detection shifts the burdensome task of monitoring from a human to technology. With an extremely low false positive rate, the software’s sensitivity is ideal for automated monitoring. The new capability can turn any microphone - like those in smart speakers and cameras - into a security device. It can also enhance existing security cameras by listening for sounds outside the field of view of the camera. 

Acoustic Event Detection provides continuous monitoring of an audio stream or analyzes an audio snippet and then delivers a result of what type of sound event occurred. The types of events it can detect include a baby crying, glass breaking, gunshots, excessive coughing and sneezing, cries for help, screaming, moaning, and audible alarms. Furthermore, adding new events is straightforward and can be customized to specific needs. The AI-based algorithms run embedded on a server or locally on a camera or other microphone-enabled devices, and it analyzes and returns results nearly instantaneously. Acoustic Event Detection is valuable in a variety of scenarios when deployed with microphones in cameras, smart speakers, or IoT devices: home security, building security, connected home leisure activities, elder or infant care, and more.  

“Integrating our core expertise in artificial intelligence and voice biometrics into a new acoustic monitoring solution is a natural extension for us,” said Konstantin Simonchik, ID R&D Chief Scientist. “Just as we provide zero-effort authentication for voice, we now deliver simplicity for new use cases with non-speech sounds. We are essentially offering a virtual human monitor that is 100% attentive, 24/7. With Acoustic Event Detection alerts, users can focus their energies on the best response to an anomalous event, not waste their time and efforts listening for it.”

Acoustic Event Detection adds to ID R&D’s product suite, which includes innovative voice, behavioral, and voice and face anti-spoofing biometric solutions. ID R&D technology renders passwords and traditional login processes obsolete and delivers the industry’s most comprehensive, accurate, friendliest, and fastest biometric authentication solutions for one-time or continuous login. The company authenticates authorized users with zero effort required - verifying users simply by the way they speak, look, type, or handle a device. The company’s technology suite includes products for mobile apps, web apps, chatbots, conversational interfaces, and messaging platforms, all available as standalone products or as an SDK for platforms of choice.

About ID R&D
ID R&D is an award-winning provider of multi-modal biometric security solutions based in New York, NY. With more than 25 years of experience in biometrics, the company’s management and development teams apply the latest scientific breakthroughs to significantly enhance authentication experiences. ID R&D combines a science-driven seamless authentication experience with the capabilities of a leading research and development team. ID R&D’s focus is on behavioral biometrics, voice biometrics, voice and face anti-spoofing, keystroke dynamics, and biometric fusion. Learn more at


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