Project Skill

Description

# Project Skill This repository is for building a speech emotion recognition system from the local `AudioWAV/` dataset. ## Required First Step For Any Future Agent - Read `context.md` before making plans, writing code, or changing files. - Treat `context.md` as the current project handoff document. ## Working Rules - Keep the raw dataset in `AudioWAV/` untouched. - Use manifest-driven workflows instead of moving audio files into new folders. - Preserve speaker-disjoint train/validation/test splits. - Use the six V1 emotion labels only: `angry`, `disgust`, `fear`, `happy`, `neutral`, `sad`. - Treat filename intensity as metadata, not as the V1 prediction target, unless the user explicitly changes that decision. - Prefer reproducible scripts and versioned artifacts over manual steps. ## Current Repo Conventions - Dataset manifests live in `manifests/`. - Utility scripts live in `scripts/`. - The current manifest generator is `scripts/create_audio_manifest.py`. ## Update Contract - Any time code, data-processing logic, file structure, training setup, model behavior, or project decisions change, update `context.md` in the same work session. - Update `skill.md` too if the workflow rules, repo conventions, or standing instructions change. - When updating `context.md`, refresh: - current status - key decisions - important files - recent changes - next recommended step ## Preferred Agent Behavior - Before changing anything, inspect the current manifests, scripts, and `context.md`. - After changing anything, leave the repo in a state where another agent can continue without re-discovering the project. - Be explicit about assumptions when the user has not decided something yet.

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