---
language:
- zh
license: mit
tags:
- music-source-separation
- chinese-folk-music
- audio
- pytorch
datasets:
- ccmusic-database/CTIS
- ccmusic-database/erhu_playing_tech
- ccmusic-database/Guzheng_Tech99
- M4Singer/M4Singer
---

# Loom of Time — Model Weights

Model checkpoints for **Loom of Time (岁月织机)**, an interactive art installation
presented at ACM Multimedia 2026 (Interactive Art Track).

**GitHub repository:** [HAoyu-baller/Loom-of-Time-Music-Viz](https://github.com/HAoyu-baller/Loom-of-Time-Music-Viz)

---

## Contents

```
models/
  separator/
    best.pt       # BSRoformer 5-stem separator (best val loss)
    last.pt       # BSRoformer 5-stem separator (final epoch)
  classifier/
    loom_best.pth # ResNet18 regional classifier (5 Chinese folk regions)
```

---

## Models

### BSRoformer Separator (`models/separator/best.pt`)

Separates a Chinese folk music recording into 5 stems:
**vocal · erhu · plucked strings · wind · percussion**

| Config | Value |
|---|---|
| Architecture | Band-Split Rotary Transformer (BSRoformer) |
| dim | 256 |
| depth | 6 |
| heads | 8 |
| Parameters | ~15–20 M |
| Sample rate | 22,050 Hz |
| Chunk size | 132,300 samples (6 s) with 22,050-sample overlap |

### ResNet18 Classifier (`models/classifier/loom_best.pth`)

Classifies the regional origin of a Chinese folk song into one of 5 categories:
**Jiangnan · Shaanxi · Yungui · Huanan · Dongbei**

| Config | Value |
|---|---|
| Backbone | ResNet18 (ImageNet pretrained) |
| Head | Dropout(0.4) → Linear(512,256) → ReLU → Dropout(0.3) → Linear(256,5) |
| Input | Mel-spectrogram image (128 mel bins, magma colormap, 224×224 px) |
| Inference | Chunk-based hard voting across 6-second clips |

---

## Usage

See the [GitHub repository](https://github.com/HAoyu-baller/Loom-of-Time-Music-Viz)
for full installation instructions and inference code.

```python
from huggingface_hub import hf_hub_download

hf_hub_download('Haoyu123123/loom-of-time-models', 'models/separator/best.pt',
                local_dir='backend/training/checkpoints')
hf_hub_download('Haoyu123123/loom-of-time-models', 'models/classifier/loom_best.pth',
                local_dir='backend/classifier/models')
```

---

## Citation

```bibtex
@inproceedings{ruan2026loom,
  title     = {Loom of Time: Real-Time Chinese Folk Music Decomposition
               and Generative Weaving Visualization},
  author    = {Ruan, Haoyu},
  booktitle = {Proceedings of the 34th ACM International Conference on
               Multimedia (Interactive Art Track)},
  year      = {2026},
  publisher = {ACM}
}
```