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Deep Learning Practice · Quiz 2 · 23 Nov 2025 · September 2025 term

Question 15: A speaker diarization script processes a dataset with 20…

Question 15

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A speaker diarization script processes a dataset with 200 unique speakers. It extracts an average of 15 segments for each speaker using a model, which produces 512- dimensional embeddings. If each embedding vector is stored using 32-bit floating-point precision (4 bytes per value), what is the total memory required to store all the segment embeddings in Megabytes (MB)? (Assume 1 MB = 1024² bytes). Round your answer to the nearest integer.

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Correct answer: 6

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Question 15 of 15 in the IIT Madras BS Deep Learning Practice (Deep Learning Practice) Quiz 2 paper sat on 23 Nov 2025, in the September 2025 term (IIT M DEGREE AN EXAM QDB2 23 Nov 2025 NEW). It carries 4 marks.

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