DCASE 2024 Task 9: Language-Queried Audio Source Separation | Pre-trained Weights for the Baseline System

== Descriptions ==

We trained the AudioSep [1] model using the development set (Clotho and augmented FSD50K datasets) for 200k steps with a batch size of 16 using one Nvidia A100 GPU (around 1 day). Model details can be found in the AudioSep paper.

Pre-trained weights for the baseline system:

• audiosep_16k,baseline,step=200000.ckpt

Baseline codebase:

• GitHub: https://github.com/Audio-AGI/dcase2024_task9_baseline

== Reference ==

[1] Liu X, Kong Q, Zhao Y, et al. Separate anything you describe. arXiv:2308.05037, 2023.

== Contact ==

Xubo Liu, xubo.liu@surrey.ac.uk