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license: cc-by-nc-sa-4.0 |
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You can try listening to the performance of this model [here](https://huggingface.co./Sucial/Aspiration_Mel_Band_Roformer/tree/main/example_audio) |
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How to use the model?<br> |
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Try it with [ZFTurbo's Music-Source-Separation-Training](https://github.com/ZFTurbo/Music-Source-Separation-Training) |
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Description: The model is used to separate aspiration, which will be useful for mixing to some mixrs.<br> |
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Instruments: aspiration, other<br> |
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Dataset: My own datasets(117 songs for training and 17 songs for validation).<br> |
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Metrics: Based on the SDR of 17 songs for validation.<br> |
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Finetuned from: `model_mel_band_roformer_ep_3005_sdr_11.4360.ckpt`<br> |
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Configs: [config_aspiration_mel_band_roformer.yaml](./config_aspiration_mel_band_roformer.yaml) |
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Model: [aspiration_mel_band_roformer_sdr_18.9845.ckpt](./aspiration_mel_band_roformer_sdr_18.9845.ckpt)<br> |
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Epoch: 123<br> |
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Instr SDR aspiration: 9.8554<br> |
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Instr SDR other: 28.1136<br> |
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SDR Avg: 18.9845<br> |
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Model: [aspiration_mel_band_roformer_less_aggr_sdr_18.1201.ckpt](./aspiration_mel_band_roformer_less_aggr_sdr_18.1201.ckpt)<br> |
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Epoch: 27<br> |
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Instr SDR aspiration: 9.0704<br> |
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Instr SDR other: 27.1699<br> |
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SDR Avg: 18.1201<br> |
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Training logs: |
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