whereisai-lingnan-track1-audio

AudioDeliveryPairwiseMLP for Phase 1 EmpathyEval

This repository distributes the final trained checkpoint for the provided_text_conditioned_audio_delivery_ranking system.

Code and Technical Report

The final-only code, setup instructions, tests, and technical report are at:

https://github.com/Beichen-Hg/WhereIsAI-Lingnan

This checkpoint is a custom PyTorch state-dictionary package. It is loaded by the AudioDeliveryPairwiseMLP implementation in that repository; it is not a standard transformers.AutoModel checkpoint.

Files

• model.pt: final AudioDeliveryPairwiseMLP checkpoint.
• config.yaml: model and training configuration.
• feature_group_importance.json: final feature-group analysis.

Integrity

• model.pt SHA-256: 24303cb353b767c6f8c964876beec85cbf868633aa88e3f291cf8004a5e23083
• config.yaml SHA-256: d26c614e9eb27207bd6c9acdc00419e64e998ec32899410e159564af1d9d5038

The expected submitted JSONL has SHA-256 f84f1a12568f2556db273fc3b70e7d87b6319e83cf086c7772405e3abd185222.

Method

The scorer uses prosody, Emotion2Vec Plus Large, WavLM Base Plus, task metadata, and text-length metadata from official JSON-provided text. It does not use ASR, teacher models, fusion, fallback, speech-quality features, or test-time training.

See the paired GitHub code repository and TECHNICAL_REPORT.md for setup, feature construction, exact runtime versions, and reproduction instructions.