Why is the energy first normalized in each frame before performing top-k selection across all frames?
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Assessment
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Newbie friendliness
- 35/100
- Issue type
- Documentation
- Clarity
- Needs clarification
- Activity status
- Quiet
- Tech stack
- python
- Domain
- machine-learning
Research direction
No file, test, or entry point is named. Locate the top-k energy selection implementation and trace how per-frame normalization and global selection are used; done means documenting the rationale clearly enough to resolve the question.
Written by the indexing model from the issue text.
Description
Thank you for your great work!
I have a question regarding the top-k energy selection process. Since the energy is normalized per frame, the values across different frames are on different scales. Could you please explain the rationale behind performing a global top-k selection across all frames after this per-frame normalization?
- Dominant language
- Python
- Stars
- 400
- Forks
- 20
- PR merge metrics
- No merged PRs in 30d
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