Exam Preview for 41594: AI in Hearing Aids: A Framework for Underst

AI in Hearing Aids: A Framework for Understanding Its Advantages and Limitations

Please note: exam questions are subject to change.

1. Which of the following is considered the most significant subgroup or sub-category of artificial intelligence? Machine learning Robotical Engineering Forensics Analytics
2. DNN-based noise reduction is intended to replace or augment this type of noise reduction: Static or post-filtering (e.g., Weiner filters) Feedback cancellers Frequency Lowering TILL or BILL processing
3. DNN-based noise reduction has been shown in some studies to improve SNR, like this technology: Directional microphones Frequency lowering Wide-dynamic range compression Omni-directional microphones
4. Which of the following is an accurate statement about signal/environmental classification systems? They are 80-85% accurate in quieter situations They are likely to be inaccurate in all situations They need to be calibrated annually They can be easily adjusted or finetuned by either the fitter or the wearer using a smartphone
5. Signal/environmental classifiers use acoustic scene analysis to augment this innately human skill: Top-down processing Bottom-up processing Auditory scene analysis Listening with intent