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@@ -9,6 +9,7 @@ tags:
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  ---
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  # **HEAR**: Hierarchically Enhanced Aesthetic Representations for Multidimensional Music Evaluation
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  [**Paper**](https://arxiv.org/pdf/2511.18869) |
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  [**Model**](https://huggingface.co/earlab/EAR_HEAR)
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  ## 🚀 Quick Start
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  ```
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- # download pretrained model weights
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  export HF_ENDPOINT=https://hf-mirror.com # For users in Mainland China, this is needed for HuggingFace downloads
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  hf download earlab/EAR_HEAR --local-dir pretrained_models
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  --model_config_path config_track_1.yaml
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- # Track 2:
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  python inference.py \
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  --input_audio_path data_pipeline/origin_song_eval_dataset/mp3/0.mp3 \
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  --output_json_path output.json
@@ -175,3 +176,4 @@ We would like to express our special thanks to **Shizhe Chen** from **Shanghai C
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  url={https://arxiv.org/abs/2511.18869},
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  }
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  ```
 
 
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  # **HEAR**: Hierarchically Enhanced Aesthetic Representations for Multidimensional Music Evaluation
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  [**Paper**](https://arxiv.org/pdf/2511.18869) |
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  [**Model**](https://huggingface.co/earlab/EAR_HEAR)
 
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  ## 🚀 Quick Start
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  ```
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+ # Download pretrained model weights
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  export HF_ENDPOINT=https://hf-mirror.com # For users in Mainland China, this is needed for HuggingFace downloads
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  hf download earlab/EAR_HEAR --local-dir pretrained_models
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  --model_config_path config_track_1.yaml
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+ # Track 2: Multi-Label Inference (5 Dimensions)
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  python inference.py \
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  --input_audio_path data_pipeline/origin_song_eval_dataset/mp3/0.mp3 \
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  --output_json_path output.json
 
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  url={https://arxiv.org/abs/2511.18869},
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  }
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  ```
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