01 / Context
This project explores the boundary between real and synthetic speech at both utterance and frame levels.
02 / Role
Add your personal implementation, experiment, and paper-writing responsibilities here.
03 / System
Describe the dataset, feature extraction, model adaptation, training/evaluation flow, and prediction levels.
04 / Technical Depth
The strongest technical angle is the gap between utterance-level performance and frame-level localization.
05 / Product / Research Angle
Explain why partial spoofing is harder and more realistic than simple utterance-level classification.
06 / Result
Add EER and any other validated metrics here once the final phrasing is confirmed.
07 / Reflection
Discuss temporal resolution, localization, and future frame-level detection improvements.