Σύμφωνα με το MIT Technology Review, η σχετική εφαρμογή, υπό το όνομα Audio Aware, προορίζεται να κυκλοφορήσει τον Μάρτιο και απευθύνεται σε χρήστες smartphones with hearing problems or intense…daylessness.
Machine-learning technology that mimics the way modeof the human ear and "listens" for possible dangers in the environment is being developed by the startup One Llama.
According to the MIT Technology Review, the relevant application, called Audio Aware, is set to be released in March and is aimed at smartphone users with hearing or intense ... inertia. It will run on Android device backgrounds and will have a "set ear" for sounds such as tires, sirens, etc., informing the user when they see this (for example, interrupting music).
The application will have a database containing a wide range of "dangerous" sounds, and users will be able to add their own.
One Llama is targeting the burgeoning wearable electronics market, looking to incorporate the technology into smart glasses, watches and Appliances fitness. Audio Aware could do other things besides alerting about danger, such as monitoring health status or even "finding out" the space the wearer is in by "listening" to surrounding sounds .
At the heart of this technology is what the company calls an "artificial ear" - essentially software that mimics the way the human ear works, based on the work of David Cheng, the company's co-founder, and others at the University of Illinois.
As Cheng says, Audio Aware is "listening" through the smartphone's microphone, comparing the ambient sounds with those stored in its database. When it comes to identifying - like a car horn - then it stops any sound the user is listening to at the moment from his cell and reproduces it, increasing his intensity or making it more typical and easy to understand.
Audio Aware will be able to work without access to wireless networks, but will require an Internet connection for "learning" and information for new sounds (like for example in case the user goes to another country, where the sirens are different).
Source: naftemporiki.gr
