TrevorJS / BSRoformer-Wind-CoreML

BSRoformer-Wind-CoreML

The wind stem (brass and woodwinds) of the MVSep Mega 53-stem BS-RoFormer , converted to Core ML for slurper , where it produces the "horns" stem.

• bsr_wind_fp16.mlpackage : the graph frames[1,2,690,2048] -> recon[1,2,690,2048] for one 8 s chunk at 44.1 kHz, framed with a 2048-sample periodic Hann window at hop 512: windowed DFT, band split, the axial rotary transformer, mask estimator, complex mask multiply and inverse DFT, all inside the model in float16. The host reflect-pads and frames the chunk and overlap-adds the output divided by the summed squared window.
• golden_raw.f32 , golden_horns.f32 : an 8 s stereo chunk (channel-major float32) and PyTorch's output for it, used by slurper's tests. Core ML matches PyTorch on it at cosine 0.99998 (44.7 dB SDR).

Produced by scripts/convert_bs_roformer.py in the slurper repository from the single-stem repack noblebarkrr/BS-Roformer-MVSep-Mega-53-stems ( v1/bs_mega_53stem_wind_mvsep.ckpt ), with the model code from Music-Source-Separation-Training (MIT). See the upstream release for the weights' terms. Converted by Ben Karon ; this repository mirrors benkaron/BSRoformer-Wind-CoreML at revision 3ddc213 , with the same files.

The golden chunk is 8 s from 0:32 of "Blues for Mundy" by The Airmen of Note, The United States Air Force Band (composed by Rick Whitehead), from 60 Years of the Airmen of Note (2011), via Wikimedia Commons . As a work of the US federal government the recording is in the public domain.