Early machine learning systems could identify broad sound categories such as speech or noise. Today, Starkey’s platform uses a Deep Neural Network (DNN) – designed to mimic the brain’s neural pathways – to make far more refined decisions about sound environments.

Rather than simply amplifying all speech equally, the system analyses millions of sound ‘scenes’ to determine what is most meaningful to the wearer. A single voice to the right may be prioritised over a competing group conversation to the left. The result? Less listening fatigue and more effortless clarity.

“It’s about superior decision-making,” says Lamb. “The hearing aid walks into a room and understands the environment more precisely, so the next processing step is more accurate.”

Directionality that adapts to movement

With Starkey Omega, AI is not confined to sound classification: it also drives microphone directionality and motion response.

Traditional directional microphones typically focus forward. This is logical if the listener is facing a speaker, but real life is rarely static.

Omega integrates onboard motion sensors – including a gyroscope and accelerometer – that detect whether the wearer is sitting, walking or turning. If someone is walking alongside companions, the microphones can adjust to better capture conversation from the side. If a passenger in the back seat of the car speaks, the system can respond accordingly.

The DNN also supports what Starkey calls 360-degree processing, enhancing localisation of sound; an area that can be particularly challenging for people wearing receiver-in-canal (RIC) devices positioned behind the ear.

By recreating more natural spatial cues, wearers report a more three-dimensional listening experience.

“When patients say sound feels more natural and less tiring, that’s what we’re aiming for,” Lamb says.

Putting the wearer in control

While AI automates much of the listening experience, Starkey has also focused on preserving user autonomy.

The platform includes an on-demand feature known as Edge Mode, allowing wearers to activate an additional layer of AI processing in particularly challenging environments. If they prefer their standard settings, they can switch back instantly.

“The patient’s listening intent is so important,” Lamb explains. “Most of the time they love it, but the key is that they’re in control.”

One of Starkey’s most distinctive areas of innovation lies beyond sound processing.

Research shows a strong association between hearing loss and increased fall risk. People with mild hearing loss are significantly more likely to have a history of falls, with risk increasing as hearing thresholds worsen.

Starkey first introduced integrated sensors in 2018 with its Livio platform. Today, Omega builds on that foundation with:

• Automatic fall detection, which can send an alert and GPS location to a nominated contact if a fall is detected.
• Balance assessment tools, offering screening-style feedback.
• Balance training exercises, designed to help users strengthen stability through guided head and movement exercises.
• Respiratory rate monitoring, using subtle head motion patterns to estimate breaths per minute.

All features are optional and accessed via the companion app.

“Our motto is ‘Hear better, live better,’” says Lamb. “If we can help someone not only hear better but also monitor and improve aspects of their health, that’s powerful.”

Bridging the gap between technology and adoption

Despite the availability of these health-focused features, uptake remains variable. Lamb acknowledges that time pressures and uncertainty about professional scope can limit how often clinicians introduce them.

“I think sometimes hearing care professionals feel health monitoring isn’t their area,” he says. “But for those working in hearing and balance, they’re incredibly excited about what’s possible.”

As hearing instruments evolve into multifunctional health devices, there may be growing opportunities for cross-disciplinary collaboration, particularly as the profession continues to highlight links between hearing loss, cognitive health and overall wellbeing.

However, predicting the future of AI is notoriously difficult. Lamb suggests continued miniaturisation, enhanced two-way connectivity and further AI-driven sound refinement are likely.

Today’s devices already offer:

• Rechargeable batteries lasting up to 51 hours
• Waterproof designs
• Hands-free, two-way phone communication
• Compatibility with emerging broadcast technologies

“Years ago, we said you’d never fit Bluetooth into a hearing aid,” Lamb reflects. “Now we’re wirelessly connected to phones, TVs and more… All in something that sits behind the ear.”

Perhaps most significantly, hearing instruments are beginning to shift from purely medical devices to desirable pieces of advanced personal technology.

“For the first time, we can genuinely get people excited about the technology,” Lamb says. “It’s not the barrier it used to be.”

A new era for hearing care

The development of AI-powered platforms like Omega reflect a broader shift within the industry: from amplification alone to intelligent, personalised and health-integrated solutions.

As AI systems become more refined, and as professionals grow more confident in explaining and utilising them, hearing instruments may increasingly be viewed not simply as solutions for hearing loss, but as sophisticated wearable health technology.

And if the pace of innovation over the past few years is any indication, the next leap forward may not be far away.