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Hearing Loss

How Is Artificial Intelligence Changing Hearing Aids?

How smart technology can support better hearing.
Last update on Nov, 20, 2025

Artificial intelligence is something everyone’s talking about, and we’re also examining how it can improve daily life. AI is also transforming modern hearing care. Today’s AI hearing aids use machine learning to understand speech in a variety of surroundings and personalize hearing aid settings to process sound in real time, which helps users hear more naturally and with less effort. Read on to see how this technology works, what features to look for, and what’s next for the future of hearing aids.

How an Artificial Intelligence Hearing Aid Works

At the heart of an artificial intelligence hearing aid is a tiny processor trained to recognize acoustic “scenes,” for example, a bustling restaurant versus a quiet living room. Using classifiers and deep-learning models, the device can automatically:

  • Adjust directional microphones
  • Provide noise reduction
  • Gain settings to match the environment.

Research shows that these self-tuning approaches can improve performance when users move between different soundscapes, especially in the presence of background noise. [1]

If background noise bothers you, here’s some more information on other noise-cancelling devices.

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AI Hearing Aid Features

Let’s take a look at some of the features AI hearing aids use to enhance the user's hearing. 

Enhancing Speech Understanding

Hearing speech-in-noise (the ability to understand spoken language in the midst of other sounds like chatter or ambient noise) is a difficulty many people with hearing loss experience. Traditional hearing aid features like directional microphones and digital noise reduction already help, and evidence supports their benefits for many adults with mild to moderate loss.

But newer AI models are starting to go further by applying deep informational networks (DNNs) trained on vast libraries of speech and noise to separate voices from cluttered backgrounds. Recent studies indicate that DNN-based speech enhancement can help improve speech-in-noise scores compared with conventional methods, promising news for everyday conversations in complex settings such as cafés, offices, and transit hubs. [2]

Smarter Connectivity with Bluetooth® Capabilities

Another leap in the newest technology in hearing aids is Bluetooth LE Audio. This enables:

  • Lower-power streaming. This means shorter charging time for your devices, and can help with connecting your hearing aids to your TV. [Please note that most manufacturers require a streaming device in order to connect to TV, the hearing aids do not connect directly.]
  • Multi-stream audio with synchronized left/right signals, which delivers a fuller sensory experience.
  • A new Bluetooth capability called Auracast. With Auracast, venues will be able to broadcast audio to an unlimited number of compatible receivers, including hearing aids. Looking to the future, this means you could tune in to gate announcements at the airport, a lecture hall feed, or a museum tour directly on your devices. [3]

As Auracast rolls out across public spaces, this will make everyday listening more accessible and convenient for hearing aid users with Auracast enabled hearing aids.

Personalization and Saved Preferences

AI also supports more refined personalization. Some systems let users quickly “teach” preferences for specific places (like a favorite restaurant), then auto-apply those settings on return visits, an approach known as scene-specific self-tuning. This helps capture the contexts that matter most to you.

What Are the Best AI Hearing Aids?

Finding the “best” AI hearing aids for you depends on your hearing profile, lifestyle, and priorities. Here are some things to look for:

  • If you spend time in noisy environments, prioritize devices with proven DNN-based speech enhancement and robust scene analysis.
  • If you stream frequently to your TV or other Bluetooth-enabled audio devices, look for LE Audio support and broadcast-friendly features like Auracast readiness.
  • If you want hands-on control, consider models that offer fine-tuning from a smartphone and learning-based personalization. A licensed professional can help translate these needs into the right set for you.

Not sure where to start with hearing aids? Contact the professionals at Amplifon Hearing Health Care —we’ll help you find the perfect hearing aid for your needs. 

New Hearing Aids: AI Functionality 2025

When thinking about the future of hearing aids, we can expect wider support for Auracast in public venues, bringing simpler, more reliable streaming and “broadcast audio” experiences to public places. You can also expect multi-task learning for audio scene analysis, which could further boost how devices detect speakers and focus attention. 

AI or Not, Hearing Aids Can Help You

Hearing loss affects 5% of the global population and, and the likelihood of hearing loss increases with age. [4] If you’re noticing signs that you may have hearing loss, such as turning up the TV, asking for repeats, or struggling to understand speech, there are many options for hearing aids.

Whether the hearing aids you choose have AI technology or not, they can improve hearing significantly. Partnering with a hearing professional can help determine if you have hearing loss and what to consider if you do.

Request an appointment with Amplifon. Our accredited professionals offer compassionate care and guidance to help you hear better today. 

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Unsure if You Need Hearing Aids?

It can be confusing and hard to determine if you have hearing loss. Luckily, Amplifon can help. Take our online hearing test! Sometimes the first step is the most important when it comes to our hearing health.

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*Based on 2025 internal pricing analysis. Your savings may vary.

**Care package details vary by plan. Exclusions and limitations may apply. Separate care packages may be available through your provider. These care packages are not included in your Amplifon benefit and may result in additional out-of-pocket cost. Contact Amplifon (888-713-7659) for details.

Sources:

1. Computational Audiology. Scene Recognition for Hearing Aids Using Machine Learning Datasets. Retrieved from Computational Audiology.

2. National Library of Medicine. Efficacy and Effectiveness of Advanced Hearing Aid Directional and Noise Reduction Technologies for Older Adults with Mild to Moderate Hearing Loss. Retrieved from National Library of Medicine.

3. Bluetooth. Auracast. Retrieved from Bluetooth

4. World Health Organization. Deafness and Hearing Loss. Retrieved from the World Health Organization.

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