Limits of Hand-Built Speech Features
Question: Give two reasons a speech system can be held back by manually designed features rather than learning from the raw signal.
Sample answer: One limitation is that the preprocessing step may compress the audio so much that useful detail is lost before the model sees it. Another is that the system may be forced to work through a human-chosen intermediate code, such as a fixed set of sound categories, even if that is not the best representation for the task.
Key points:
- Aggressive preprocessing can remove subtle but important information.
- A predefined intermediate representation can create a bottleneck that the model cannot improve on.
Rubric: Full credit requires both the loss of useful detail and the restriction caused by an imposed intermediate representation.
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