DJCM-Test / README.md
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license: mit

The model consumes a lot of resources for inference, so its inference code was modified to split the input into smaller parts, which results in longer inference time.
The model might not have been fully trained, so the quality may not be optimal. It is currently paused at checkpoint 10738, but further training may be conducted in the future.
The djcm.pt model has been trimmed by removing to_wav since it is not used.

index sdr±std gnsdr rpa±std rca±std oa±std
414 5.83±2.09 2.82 81.52±13.59 84.06±10.77 78.85±10.99
828 7.78±1.86 4.77 90.73±7.32 91.91±6.13 88.2±6.61
1242 8.67±1.71 5.65 90.65±7.33 91.37±6.3 89.57±6.09
1656 8.94±1.82 5.92 92.65±5.61 93.14±5.09 87.16±6.68
2484 10.16±2.05 7.15 92.17±5.9 92.42±5.67 91.04±5.16
2898 10.03±1.92 7.02 92.74±5.74 93.08±5.57 89.4±5.59
3312 10.56±1.83 7.55 92.85±5.57 93.18±5.25 91.85±4.82
4554 11.28±2.19 8.27 93.57±5.42 93.81±5.18 92.07±4.62
5796 11.27±2.06 8.25 93.59±5.53 93.97±5.0 91.65±5.08
6624 11.57±2.05 8.56 93.86±5.16 94.04±4.98 *92.93±4.26
7038 11.63±1.98 8.62 94.05±4.82 94.29±4.44 91.79±4.63
7452 11.0±1.88 7.99 93.43±5.39 93.68±4.89 91.48±5.16
7866 11.55±2.22 8.54 93.15±5.43 93.37±5.14 91.62±4.88
8280 11.76±2.2 8.75 93.7±5.26 93.88±4.99 92.62±4.35
8694 *12.25±2.16 *9.23 93.32±5.45 93.49±5.15 92.55±4.3
9086 9.13±1.34 6.12 94.76±4.0 95.16±3.56 70.17±9.26
9499 8.75±1.19 5.74 95.06±3.76 95.49±3.4 71.86±9.23
9912 9.16±1.16 6.15 95.48±3.68 95.73±3.46 73.65±8.35
10325 8.66±0.97 5.65 95.35±3.6 95.72±3.06 74.58±7.88
10738 8.2±0.85 5.19 *95.58±3.52 *95.87±3.23 75.25±7.87

Training Dataset: https://huggingface.co/datasets/AnhP/Mir-1k-use-DJCM-training/resolve/main/dataset.zip
Inference Code: https://github.com/PhamHuynhAnh16/DJCM/blob/main/inference.py
Training Code: https://github.com/PhamHuynhAnh16/DJCM/blob/main/train_DJCM.py
Export Small Code: https://github.com/PhamHuynhAnh16/DJCM/blob/main/export_small_model.py
Export Onnx Code: https://github.com/PhamHuynhAnh16/DJCM/blob/main/export_onnx.py