This is the repository of team CCOM for Sound Demixing Challenge 2023. For Music Demixing Track, We get rank #1 in the Leaderboard A and rank #4 in the Leaderboard B.

• For inference and bleeding training, see apt.txt and requirement.txt in the labelnoise_submission branch.
• For labelnoise training, you need to clone DEMUCS and install all its dependencies, with also packages in apt.txt and requirement.txt needed.

• For Leaderboard A, we used loss truncation in pre-training phase and then we filtered the dataset automatically with the pretrained loss truncation model. For further details please see README.md in the labelnoise_train branch.
• For Leaderboard B, we designed a multi-spectrogram U-Net model. Details are shown in the bleeding_train branch.

• Submission ID: 219610

• Submitter: dramatic

• Final rank: 1st place

• Final scores:

  Mean SDR	SDR Bass	SDR Drums	SDR Other	SDR Vocals
  7.455	8.117	7.993	5.342	8.369

• Submission ID: 217439

• Submitter: liujiafeng

• Final rank: 4th place

• Final scores:

  Mean SDR	SDR Bass	SDR Drums	SDR Other	SDR Vocals
  6.203	6.337	6.323	4.284	7.867