Even advanced models have required constant adjustments and fiddling and recalibrations. The next generation of hearing aids will fix this flaw.

Even the most advanced hearing aids in the market today are fragile and far from perfect. Despite the highest signal-to-noise ratios, lowest distortion levels and fancy customization of equalization and ambient noise cancellation algorithms via Bluetooth on your mobile phone, they have their limitations in providing wearers with sonic clarity in every situation.

However, hope is on the way with Cloud and AI technology, though. Manufacturers have developed on-board Deep Neural Network (DNN) processors that work on machine learning to discern meaningful sounds from the noise in any scenario, allowing the human brain to do the rest to sharpen the intelligibility of voices and words.

With a DNN computer chip that has been trained with millions of real-life environmental scenarios—such as a busy café, or an industrial factory with the drone of hundreds of motors running, or an echoey auditorium—such next generation of hearing aids are expected to yield new levels of clarity to users.

The ability of a hearing aid’s dynamic adaptation to the environment can give the human brain more of the information it needs to decipher the intricate details of sound, so that users can improve their focus on what matters to them without shielding out other meaningful sounds in the environment. This can persuade more people to use such aids, and when in use, the devices reduce the self-consciousness level while increasing user safety on the roads.

Until bionic ears arrive…

Even for such advanced products, clinical profiling and testing are necessary parts of the entire product experience. That is where other technologically sophisticated features help to make these advanced hearing aids stand out: 

  • Advanced 3D design and printing technology cut production time for the customized ear molds while offering increased dimensional accuracy in the physical parts.
  • State-of-the-art testing equipment in a controlled environment for calibration of audiometric equipment to guarantee reliable and traceable readings.
  • PC based audiometry provides a centralized and consistent interface for hearing-test data no matter which part of the world a client lives. This enhances diagnosis efficiency and accuracy.

Notably, this technology from Hong Kong recently won two Customers Electronics Association (CES) Innovation Awards, being named an honoree in the Health & Wellness and Wearable Technologies categories.