Exam Preview for 37737: The Benefits of Deep Learning in Oticon Mor

The Benefits of Deep Learning in Oticon More

Please note: exam questions are subject to change.

1. The deep neural network in Oticon More: Continues to learn as the patient wears the devices Was trained on approximately 12 million sound samples Does not require feedback to learn Requires input from patients about their sound experiences
2. The deep neural network in Oticon More impacts which processing feature? Noise reduction Frequency-lowering Feedback prevention Program changes
3. The open sound paradigm of Oticon More: Attempts to bypasses the orient subsystem of the auditory cortex Does not use directionality or noise reduction Works to support the natural mechanisms of how the brain processes sound Requires the patient to train the hearing aid on their preferences
4. Recent research suggests that the sound processing steps in the auditory cortex follow: Focus, then orient, then recognize Filter, then focus, then recognize Focus, then recognize Orient, then focus, then recognize
5. In the opinion of the speaker, counseling the patient about treatment should focus on which of the following? The deep neural network technology The anatomy of the auditory cortex The needs expressed by the patient The type of cell phone that the patient owns