Following a recent obtainment of $5.5 million in Series A funding, Audio Analytic, a sound recognition software provider, announced it will showcase a range of new features for its ai3 platform at CES 2017.
ai3 software enables device manufacturers, chip companies and service providers to enable products with artificial audio intelligence.
Sound recognition is a different technical challenge from voice recognition and requires a different approach, but like voice recognition, sound recognition creates compelling new use-cases for smarter living.
Audio Analytic’s ai3 software can be embedded in low-power smart home devices, enabling them to recognize a range of sounds within the home and take automated action. All sound recognition is conducted on device with no requirement to stream audio to the cloud, thus ensuring user privacy and security.
With ai3 inside, a smart home device can recognize the sound of a window breaking or a smoke alarm while a home’s occupants are out, alerting the owners and emergency services and triggering other devices within the home to take appropriate action. A smart device in a nursery can recognize the sound of a baby crying and play a lullaby, soothing baby back to sleep, allowing parents and baby to get a restful night.
At CES, Audio Analytic will demonstrate a new sound profile being added to the ai3 platform. The software can now recognize the sound of a dog barking so absent dog owners can monitor their pet’s wellbeing and their home’s security remotely.
Another new feature is Custom Sound Recognition, which enables end-users to program devices to recognize and alert them to specific sounds within the home such as individual doorbells.
In addition, the ai3 platform is now capable of Audio Anomaly Detection – understanding the normative pattern of sounds within an individual home and sending an alert whenever deviations occur, such as aggressive shouting or slamming doors. This has many potential applications in security and also elderly care.
Dr. Chris Mitchell, Audio Analytic’s Founder and CEO, said sound recognition is the missing link in the AI landscape – enabling devices within the home to automatically understand and respond to contextual events without requiring human instruction or operation.
“We’re delighted to demonstrate our unique Artificial Audio Intelligence software at CES 2017, working with our partners to develop smarter devices that better protect people and property,” Mitchell said.