Edit model card

Cadenza Challenge: CAD2-Task1

A NonCausal Lyrics/Accompaniment separation model for the CAD2-Task1 baseline system.

  • Architecture: ConvTasNet (Kaituo XU) with multichannel support (Alexandre Defossez).
  • Parameters:
    • B: 256
    • C: 2
    • H: 512
    • L: 20
    • N: 256
    • P: 3
    • R: 4
    • X: 10
    • audio_channels: 2
    • causal: false
    • mask_nonlinear: relu
    • norm_type: gLN
  • training:
    • sample_rate: 44100
    • samples_per_track: 64
    • segment: 5.0
    • aggregate: 2
    • batch_size: 4
    • early_stop: true
    • epochs: 200

Dataset

The model was trained on the training split of the MUSDB18-HQ dataset.

How to use

from tasnet import ConvTasNetStereo

model = ConvTasNetStereo.from_pretrained(
    "cadenzachallenge/ConvTasNet_LyricsSeparation_NonCausal"
).cpu()

Results

Track Vocals (SDR) Accompaniment (SDR)
Al James - Schoolboy Facination 6.841 9.074
AM Contra - Heart Peripheral 6.948 14.105
Angels In Amplifiers - I'm Alright 7.358 10.859
Arise - Run Run Run 6.105 16.806
Ben Carrigan - We'll Talk About It All Tonight 2.853 10.181
BKS - Bulldozer 1.909 13.944
BKS - Too Much 8.615 13.212
Bobby Nobody - Stitch Up 7.948 12.685
Buitraker - Revo X 4.609 14.61
Carlos Gonzalez - A Place For Us 4.235 8.888
Cristina Vane - So Easy 8.759 13.639
Detsky Sad - Walkie Talkie 7.732 10.844
Enda Reilly - Cur An Long Ag Seol 9.603 13.723
Forkupines - Semantics 4.955 11.561
Georgia Wonder - Siren 4.124 8.578
Girls Under Glass - We Feel Alright 4.38 12.272
Hollow Ground - Ill Fate 7.046 16.299
James Elder & Mark M Thompson - The English Actor 4.694 9.638
Juliet's Rescue - Heartbeats 6.281 14.409
Little Chicago's Finest - My Own 6.313 6.603
Louis Cressy Band - Good Time 6.501 12.016
Lyndsey Ollard - Catching Up 9.18 12.116
M.E.R.C. Music - Knockout 6.619 8.507
Moosmusic - Big Dummy Shake 8.097 14.578
Motor Tapes - Shore 0.769 10.137
Mu - Too Bright 5.853 13.135
Nerve 9 - Pray For The Rain 6.425 14.427
PR - Happy Daze 0 51.092
PR - Oh No 0 9.021
Punkdisco - Oral Hygiene 5.725 17.681
Raft Monk - Tiring 2.378 9.244
Sambasevam Shanmugam - Kaathaadi 8.164 10.588
Secretariat - Borderline 5.522 10.817
Secretariat - Over The Top 7.859 14.996
Side Effects Project - Sing With Me 11.197 12.63
Signe Jakobsen - What Have You Done To Me 7.685 11.013
Skelpolu - Resurrection 0 7.603
Speak Softly - Broken Man 3.997 14.516
Speak Softly - Like Horses 6.462 9.426
The Doppler Shift - Atrophy 0.711 14.241
The Easton Ellises - Falcon 69 2.401 7.889
The Easton Ellises (Baumi) - SDRNR 1.479 7.948
The Long Wait - Dark Horses 6.53 12.661
The Mountaineering Club - Mallory 10.665 15.311
The Sunshine Garcia Band - For I Am The Moon 9.591 13.297
Timboz - Pony 4.025 14.271
Tom McKenzie - Directions 8.031 16.129
Triviul feat. The Fiend - Widow 7.061 8.168
We Fell From The Sky - Not You 3.862 11.685
Zeno - Signs 6.364 11.552
Total (median over frames, median over tracks) 6.338 12.194
Downloads last month
5
Safetensors
Model size
10.8M params
Tensor type
F32
·
Inference Examples
Inference API (serverless) does not yet support transformers models for this pipeline type.