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README.md
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You can try listening to the performance of this model [here](./example_audio)
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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
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Configs: [config_aspiration_mel_band_roformer.yaml](./config_aspiration_mel_band_roformer.yaml)
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[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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[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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![image](./training_logs.png)
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You can try listening to the performance of this model [here](./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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![image](./training_logs.png)
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