Short Answer

Defining the Components and Nature of Rich-Output Speech Recognition

Question: Based on the concept of rich-output learning, what specifically serves as the input and output in a speech recognition system, and how does this contrast with simpler machine learning outputs?

Sample answer: In end-to-end speech recognition, audio serves as the input and a transcription serves as the output. This contrasts with simpler machine learning outputs because a transcription is richer than a single number.

Key points:

  • Input is audio.
  • Output is transcription.
  • Output is richer than a single number.

Rubric: Award points for correctly identifying audio as input, transcription as output, and noting the output is richer than a single number.

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Updated 2026-05-27

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