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Why does scipy.io.wavfile.read sometimes return data with dtype int16 and other times int32?

hard📝 Conceptual Q10 of 15
SciPy - Integration with Scientific Ecosystem
Why does scipy.io.wavfile.read sometimes return data with dtype int16 and other times int32?
ABecause the function randomly chooses data type
BBecause stereo files always use int32
CBecause WAV files can have different bit depths for samples
DBecause the sample rate affects data type
Step-by-Step Solution
Solution:

  1. Step 1: Understand WAV file bit depth

    WAV files store samples with different bit depths like 16-bit or 32-bit integers.

  2. Step 2: Relate bit depth to returned dtype

    The returned NumPy array dtype matches the bit depth of the WAV file samples.

  3. Final Answer:

    Because WAV files can have different bit depths for samples -> Option C

  4. Quick Check:

    Bit depth determines data dtype [OK]
Quick Trick: Data type depends on WAV bit depth [OK]
Common Mistakes:
  • Thinking dtype is random
  • Assuming stereo forces int32
  • Confusing sample rate with dtype

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