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README.md

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+---
+tags:
+  - speech
+  - speech-quality-assessment
+  - mos-prediction
+  - pytorch
+---
+
+# SSL Layer MOS checkpoints
+
+This repository contains the projection-head checkpoints associated with
+[SSL_Layer_MOS](https://github.com/Hope-Liang/SSL_Layer_MOS), the official
+implementation for *Selection of Layers from Self-supervised Learning Models
+for Predicting Mean-Opinion-Score of Speech* (IEEE ASRU 2025).
+
+## Contents
+
+The checkpoints are grouped by evaluation dataset:
+
+- `results_nisqa/`
+- `results_tencent/`
+- `results_bvcc/`
+
+Within each dataset, files are organized by SSL model, layer, and run. Each
+experiment includes PyTorch checkpoint files (`.pt`) and its Gin configuration
+(`.gin`); logs are retained for reproducibility.
+
+## Usage
+
+Clone the companion code repository and follow its inference instructions:
+
+```bash
+git clone https://github.com/Hope-Liang/SSL_Layer_MOS.git
+cd SSL_Layer_MOS
+python inference.py --audio_path=<YOUR_AUDIO_PATH> --ssl_model=<SELECTED_SSL_MODEL> --ssl_layer=<SELECTED_SSL_LAYER> --ckpt=<PATH_TO_DOWNLOADED_CHECKPOINT>
+```
+
+Download a checkpoint from the directory matching your selected dataset, SSL
+model, layer, and run.
+
+## Citation
+
+If you use these checkpoints, please cite the associated IEEE ASRU 2025 paper
+and the [companion implementation](https://github.com/Hope-Liang/SSL_Layer_MOS).
+
+## License
+
+The license for these checkpoints follows the terms specified by the authors.
+Please also comply with the licenses of any underlying SSL models and datasets.