README.md

v2_inst--------------------------------------------------------------------<br>
https://mvsep.com/quality_checker/entry/9475<br>
<code>
Metric sdr for instrum: 17.4007<br>
Metric si_sdr for instrum: 17.3154<br>
Metric l1_freq for instrum: 39.9287<br>
Metric log_wmse for instrum: 14.1031<br>
Metric aura_stft for instrum: 16.5670<br>
Metric aura_mrstft for instrum: 22.8199<br>
Metric bleedless for instrum: 37.8745<br>
Metric fullness for instrum: 38.0255<br>
</code>
Currently, this model holds the highest aura_mrstft score on the instrumental side of the Multisong dataset.<br>
<br>
<br>
v2_voc--------------------------------------------------------------------<br>
https://mvsep.com/quality_checker/entry/9470<br>
<code>
Metric sdr for vocals: 11.3957<br>
Metric si_sdr for vocals: 10.9629<br>
Metric l1_freq for vocals: 39.5419<br>
Metric log_wmse for vocals: 14.3935<br>
Metric aura_stft for vocals: 10.2444<br>
Metric aura_mrstft for vocals: 12.8111<br>
Metric bleedless for vocals: 34.0758<br>
Metric fullness for vocals: 19.0952<br>
</code>
<br>
<br>
v1--------------------------------------------------------------------<br>
https://mvsep.com/quality_checker/entry/9303<br>
<code>
Metric sdr for instrum: 17.2702<br>
Metric si_sdr for instrum: 17.1860<br>
Metric l1_freq for instrum: 39.6100<br>
Metric log_wmse for instrum: 13.9687<br>
Metric aura_stft for instrum: 16.7484<br>
Metric aura_mrstft for instrum: 22.7086<br>
Metric bleedless for instrum: 38.7761<br>
Metric fullness for instrum: 36.9074<br>
</code>

To use this model, replace the model file with one from this repository.<br><br>
Some components in the SegmModel module were implemented based on this paper: https://arxiv.org/abs/2506.17733.<br><br>

This weight is based on the following weights. Thank you, anvuew!<br>
https://huggingface.co/anvuew/BS-RoFormer