Exam Preview for 40095: Leveraging AI for Enhanced Sound and User E

Leveraging AI for Enhanced Sound and User Experience in Hearing Aids

Please note: exam questions are subject to change.

1. What is a key advantage of deep learning over traditional machine learning in hearing aids? It requires less data to train It uses neural networks to learn from unstructured data It is computationally efficient for small devices It eliminates the need for personalization
2. How can AI hearing aids adapt to environments when automatics fail? By increasing overall amplification By asking the user to adjust settings manually By working with user feedback to find an optimal solution By ignoring changes in the listening environment
3. What is a significant limitation of AI in hearing aids currently? Inability to amplify sound Difficulty predicting user preferences in rapidly changing environments Lack of smartphone integration Over-reliance on user input for every adjustment
4. What role do audiologists play in AI-enabled hearing aid management? Guiding AI use and ensuring patient outcomes are optimized Programming AI algorithms from scratch Eliminating the need for user input through manual settings Replacing AI systems during routine check-ups
5. What is one way AI uses crowdsourced data in hearing aids? To streamline hardware maintenance To refine algorithms for all users based on shared preferences To eliminate individual user preferences for uniform settings To increase the computational requirements of the hearing aids