---
license: mit
task_categories:
- feature-extraction
language:
- en
- zh
tags:
- mer2026
- emotion-recognition
- multimodal
---

# MER_feat

Extracted MER2026 features and local experiment results for Track 1 / Track 2.

## Layout

- `features/`: precomputed UTT-level features used by official MER2026 Track1 baselines
- `results/track1/`: saved CV runs and checkpoints summaries
- `results/track2/`: Track2 P0 outputs (eval, normalizer, bias diagnosis, text-clue baseline)
- `manifest.json`: file inventory and sizes

## Feature sets

- `chinese-hubert-large-UTT`
- `chinese-roberta-wwm-ext-large-UTT`
- `clip-vit-large-patch14-UTT`
- `emotion2vec-UTT`
- `whisper-large-v3-UTT`
- `EVA-ViT-G`
- `eva_vit_g-UTT`

## Notes

- Raw audio/video are **not** included.
- Feature files are typically `.npy` per utterance.
- For local usage, point `PATH_TO_FEATURES['MER2026']` to the downloaded `features/` folder.

## Manifest

```json
{
  "repo": "NZC415/MER_feat",
  "generated_at": "2026-05-29T15:45:41.177685+00:00",
  "features": {
    "chinese-hubert-large-UTT": {
      "path": "features/chinese-hubert-large-UTT",
      "bytes": 124164480,
      "files": 29395
    },
    "chinese-roberta-wwm-ext-large-UTT": {
      "path": "features/chinese-roberta-wwm-ext-large-UTT",
      "bytes": 125213056,
      "files": 29395
    },
    "clip-vit-large-patch14-UTT": {
      "path": "features/clip-vit-large-patch14-UTT",
      "bytes": 94064000,
      "files": 29395
    },
    "emotion2vec-UTT": {
      "path": "features/emotion2vec-UTT",
      "bytes": 124164480,
      "files": 29395
    },
    "whisper-large-v3-UTT": {
      "path": "features/whisper-large-v3-UTT",
      "bytes": 4819839360,
      "files": 29395
    },
    "EVA-ViT-G": {
      "path": "features/EVA-ViT-G",
      "bytes": 10599131520,
      "files": 29395
    },
    "eva_vit_g-UTT": {
      "path": "features/eva_vit_g-UTT",
      "bytes": 10599131520,
      "files": 29395
    }
  },
  "results": {
    "track1": [
      "saved_track1_baseline_extra",
      "saved_track1_baseline_extra-unimodal",
      "saved_track1_baseline_extra_emotion2vec_UTT",
      "saved_track1_baseline_extra_emotion2vec_UTT-unimodal",
      "saved_track1_baseline_extra_whisper_large_v3_UTT",
      "saved_track1_baseline_extra_whisper_large_v3_UTT-unimodal",
      "saved_track1_baseline_official",
      "saved_track1_baseline_official-unimodal",
      "saved_track1_next_tri_emotion2vec_roberta_clip-trimodal",
      "saved_track1_next_tri_hubert_roberta_eva-trimodal",
      "saved_track1_next_tri_official_hubert_roberta_clip-trimodal",
      "saved_track1_next_whisper_v3_more4-unimodal",
      "saved_track1_stage2_emotion2vec_roberta_eva-trimodal",
      "saved_track1_stage2_official_hubert_roberta_clip_more20-trimodal",
      "saved_track1_stage2_top1_available_avt-multitop-others",
      "saved_track1_stage2_whisper_roberta_clip-trimodal",
      "saved_track1_stage3_official_hubert_roberta_clip_more25-trimodal"
    ],
    "track2": "code/official/MERTools/MER2026/MER2026_Track2/outputs_track2_p0"
  }
}
```