Submitted Google New feature For Android system It alerts deaf users about “critical” sounds by sending an audible notification to the hard of hearing, vibrations on smartphones, or flashing camera lights for the deaf.The company explained that the audio notification is designed to serve about 466 million people in the world with hearing impairment, and it can also help those who wear headphones or suffer from distraction, indicating that the new system has been developed using machine learning programs, to transmit warnings via voice notifications through The smartphone’s microphone and recognizes through the phone’s speaker the various sounds, such as children’s voices, screaming, running water, smoke and fire alarms, device sirens, knocking on the door and the ringing of the landline phone.
She added that by using voice notifications, users can choose the voice they want to alert them to, and how they want to be notified of it, stressing that the new application takes into account preserving the privacy of users as it cannot send voice conversations to the user or those around him.It processes pre-set sounds and specializes in a smartphone device or smart wristwatch, which vibrates to alert the wearer when an important or pre-defined noise is detected only, and what is monitored or recorded is not broadcast over the Internet.
The issuance of audio notifications from Google, according to Al-Arabia Net, comes after the company finally took a wrong step with the deaf community. Last month, the site, “YouTube” owned by Google, removed the editorial texts of the group audio comments that appear on its videos, which Angered more than half a million people signed a petition to reinstate the feature, whose move came just a day after International Deaf Week ended.
It is noteworthy that, in the past year, Google introduced two new options for access to an application that converts speech into text in real time, and alerts the user when his name is spoken out loud in order to call upon him or warn him of some danger.
• Some users have noted that audio alerts are highly sensitive or misread sounds.
• Any application or technology, especially those that depend on machine learning, can be accompanied by some problems at the start of operation.
The concern is that receiving such alerts by mistake or inaccurate interpretation could cause confusion.
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