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README.md
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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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#
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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
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url={https://arxiv.org/abs/2511.18869},
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}
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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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