Background noise decreases the signal-to-noise ratio because it adds more noise in relation to the signal, making it harder to distinguish the signal from the noise. This, in turn, increases training difficulty because the model or system needs to work harder to differentiate between relevant signals and background noise.

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Background Noise

Question 17

Multiple Choice

Background noise:

A) increases the signal-to-noise ratio and increases training difficulty
B) decreases the signal-to-noise ratio and decreases training difficulty
C) increases the signal-to-noise ratio and decreases training difficulty
D) decreases the signal-to-noise ratio and increases training difficulty

Correct Answer: