MelBandConformer / config_musdb18_mel_band_conformer.yaml
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Update config_musdb18_mel_band_conformer.yaml
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audio:
chunk_size: 131584
dim_f: 1024
dim_t: 256
hop_length: 512
n_fft: 2048
num_channels: 2
sample_rate: 44100
min_mean_abs: 0.001
model:
dim: 192
depth: 8
stereo: true
num_stems: 1
time_conformer_depth: 1
freq_conformer_depth: 1
# band-splitting
num_bands: 60
# attention/width
dim_head: 64
heads: 8
ff_mult: 4
# conformer conv sub-block
conv_expansion_factor: 2
conv_kernel_size: 31
# dropouts
attn_dropout: 0.0
ff_dropout: 0.0
conv_dropout: 0.0
# STFT
dim_freqs_in: 1025
sample_rate: 44100
stft_n_fft: 2048
stft_hop_length: 512
stft_win_length: 2048
stft_normalized: False
# mask estimator + multi-res STFT loss
mask_estimator_depth: 2
multi_stft_resolution_loss_weight: 1.0
multi_stft_resolutions_window_sizes: !!python/tuple
- 4096
- 2048
- 1024
- 512
- 256
multi_stft_hop_size: 147
multi_stft_normalized: False
use_torch_checkpoint: False
skip_connection: False
match_input_audio_length: False
training:
batch_size: 1
gradient_accumulation_steps: 1
grad_clip: 0
instruments:
- vocals
- bass
- drums
- other
lr: 5.0e-05
patience: 2
reduce_factor: 0.95
target_instrument: vocals
num_epochs: 1000
num_steps: 1000
q: 0.95
coarse_loss_clip: true
ema_momentum: 0.999
optimizer: adam
other_fix: false
use_amp: true
augmentations:
enable: false
loudness: true
loudness_min: 0.5
loudness_max: 1.5
inference:
batch_size: 2
dim_t: 256
num_overlap: 2
chunk_size: 131584