Starkey hearing aid models
Livio AI is a hearing aid device created by Starkey Technologies. But it’s not just a hearing aid. It is also capable of translating foreign languages and tracking the health of the wearer’s brain.
The iOS and Android compatible device also uses geotagged memories (tagged with the phone’s GPS). This will detect when you are in a marked location to automatically switch hearing modes. Therefore, if you arrive home, it will optimize the device for this environment.
Livio hearing aids
Starkey’s long awaited Livio AI smart hearing aid has finally arrived and it has been a hit in the tech world. Many professionals in the sector are wondering if this launch is so new and if it is really a revolution, as Starkey says “Welcome to the revolution”.
Last September 26th we presented in Madrid “The Starkey Livio AI intelligent hearing aid” by Joseph García, Starkey’s Training Director for the Spanish-speaking market, who highlighted the functionalities of the new hearing aid, comparing it to the revolution that the incorporation of smartphones in daily life has brought about.
This device offers much more than good hearing, we could say that it allows us to have a more holistic view of health. It has been proven that hearing health is directly connected to overall health and well-being. Treating hearing loss, can improve or reduce some health problems such as cognitive impairment and dementia. In fact, a 2017 study showed that treating hearing loss is one of the best ways to reduce the risk of dementia.
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The hearing aid offers a proactive approach to the user’s well-being. It uses integrated sensors and artificial intelligence to detect movement, activities and different gestures. The hearing aids then communicate with each other, and with various accessories, to provide significant benefits – beyond traditional amplification.
In this way, Starkey Livio AI can detect falls and send alert messages to previously selected contacts, as well as view heart rate and heart rate recovery (coming soon).
Through the application it is also possible to translate in real time up to 27 different languages, as well as transcribe conversations, integrate with a voice assistant or receive phone calls, among other functions.
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One of the main challenges for people with hearing loss is understanding speech in noisy environments. The problem is known as the cocktail party effect because situations where many people are talking at the same time often make it very difficult to distinguish what the person you are talking to is saying.
Although most modern hearing aids incorporate various forms of speech enhancement technology, engineers are still struggling to develop a system that significantly improves.
PhD student Mathew Kavalekalam of Audio Lab Analysis at Aalborg University is using Machine Learning to develop an algorithm that allows a computer to distinguish between spoken words and background noise. The project is carried out together with hearing aid researchers at GN Advanced Science and is supported by Innovation Fund Denmark.
“The auditory center inside our brain usually performs a tremendously complicated series of calculations that allow us to focus on a single voice, even if there are many other people talking in the background,” explains Mathew Kavalekalam of Aalborg University, “but that ability is very difficult to recreate in a machine.