AI in Hearing Aids Quiz

Answers and explanations appear as you take the quiz.

1. Why is simply turning up the volume a poor solution in noisy places?
   • It drains the battery instantly
   • It amplifies background noise along with speech
   • It damages the microphones
   • It turns off directional mode
2. What does a typical hearing aid denoising network output?
   • A written transcript of speech
   • A new voice that replaces the speaker
   • A gain or mask for each frequency band in each frame
   • A diagnosis of the wearer's hearing loss
3. Roughly what processing delay do hearing aids need to stay within?
   • About 10 milliseconds or less
   • About 1 second
   • About 5 seconds
   • Delay does not matter for hearing aids
4. Which type of background noise do traditional rule-based systems struggle with most?
   • A steady fan
   • A car engine hum
   • Air conditioning
   • Babble from other people talking
5. In the US, who are over-the-counter hearing aids intended for?
   • Children with any degree of hearing loss
   • Adults with perceived mild to moderate hearing loss
   • Anyone with profound hearing loss
   • Only people with a prescription
6. Which claim about AI hearing aids is a misconception?
   • They can classify listening environments
   • They run neural networks on the device
   • They repair damaged hair cells in the inner ear
   • They can reduce background noise
7. Why do hearing aid neural networks need to be small and quantised?
   • They must run on a few milliwatts to last a full day on battery
   • Larger models are illegal in medical devices
   • Small models always sound better
   • Quantisation increases the volume
8. What trade-off do designers face when making noise suppression more aggressive?
   • It makes the device heavier
   • It can distort speech, for example removing consonants
   • It stops Bluetooth streaming
   • It lowers the price