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robust_speech_quantizer

Automatic Speech Recognition
TensorBoard
Joblib
English
speech
discrete-units
quantization
hubert
dinosr
spidr
Model card Files
xet
 Metrics Community
Iliass Lasri commited on
Commit
271eaec
·
1 Parent(s): ed7f224

add new chkpts

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This view is limited to 50 files because it contains too many changes.   See raw diff
Files changed (50) hide show
  1. HuBERT/500/config.yaml +74 -0
  2. augmentations/03_reverberation.wav → HuBERT/500/round_0/E1_best.pt +2 -2
  3. HuBERT/500/round_0/E1_last.pt +3 -0
  4. augmentations/00_clean.wav → HuBERT/500/round_0/tensorboard/events.out.tfevents.1774283046.node19.661066.0 +2 -2
  5. HuBERT/500_1_augmentation/config.yaml +74 -0
  6. HuBERT/500_1_augmentation/round_0/E1_best.pt +3 -0
  7. HuBERT/500_1_augmentation/round_0/E1_last.pt +3 -0
  8. augmentations/01_time_stretch.wav → HuBERT/500_1_augmentation/round_0/tensorboard/events.out.tfevents.1774338918.node17.27526.0 +2 -2
  9. HuBERT/500_no_extra_augs/config.yaml +74 -0
  10. HuBERT/500_no_extra_augs/round_0/E1_best.pt +3 -0
  11. HuBERT/500_no_extra_augs/round_0/E1_last.pt +3 -0
  12. augmentations/02_pitch_shift.wav → HuBERT/500_no_extra_augs/round_0/tensorboard/events.out.tfevents.1774279454.node20.1621864.0 +2 -2
  13. augmentations/04_noise.wav +0 -3
  14. augmentations/05_echo.wav +0 -3
  15. augmentations/06_random_noise.wav +0 -3
  16. augmentations/07_pink_noise.wav +0 -3
  17. augmentations/08_lowpass_filter.wav +0 -3
  18. augmentations/09_highpass_filter.wav +0 -3
  19. augmentations/10_bandpass_filter.wav +0 -3
  20. augmentations/11_smooth.wav +0 -3
  21. augmentations/12_boost_audio.wav +0 -3
  22. augmentations/13_duck_audio.wav +0 -3
  23. augmentations/14_updownresample.wav +0 -3
  24. {100_vocab_size → legacy/100_vocab_size}/round_0/E1_best.pt +0 -0
  25. {100_vocab_size → legacy/100_vocab_size}/round_0/E1_last.pt +0 -0
  26. {100_vocab_size → legacy/100_vocab_size}/round_0/tensorboard/events.out.tfevents.1773580241.node45.2866149.0 +0 -0
  27. {100_vocab_size → legacy/100_vocab_size}/round_1/E1_best.pt +0 -0
  28. {100_vocab_size → legacy/100_vocab_size}/round_1/E1_last.pt +0 -0
  29. {100_vocab_size → legacy/100_vocab_size}/round_1/tensorboard/events.out.tfevents.1773679015.node46.2397608.0 +0 -0
  30. {100_vocab_size → legacy/100_vocab_size}/round_2/E1_best.pt +0 -0
  31. {100_vocab_size → legacy/100_vocab_size}/round_2/E1_last.pt +0 -0
  32. {100_vocab_size → legacy/100_vocab_size}/round_2/tensorboard/events.out.tfevents.1773766322.node45.3369627.0 +0 -0
  33. {100_vocab_size → legacy/100_vocab_size}/round_3/E1_best.pt +0 -0
  34. {100_vocab_size → legacy/100_vocab_size}/round_3/E1_last.pt +0 -0
  35. {100_vocab_size → legacy/100_vocab_size}/round_3/tensorboard/events.out.tfevents.1773796855.node45.3369627.1 +0 -0
  36. {1_augmentation → legacy/1_augmentation}/500/round_0/E1_best.pt +0 -0
  37. {1_augmentation → legacy/1_augmentation}/500/round_0/E1_last.pt +0 -0
  38. {1_augmentation → legacy/1_augmentation}/500/round_0/tensorboard/events.out.tfevents.1773954148.node46.2814566.0 +0 -0
  39. {200_vocab_size → legacy/200_vocab_size}/round_0/E1_best.pt +0 -0
  40. {200_vocab_size → legacy/200_vocab_size}/round_0/E1_last.pt +0 -0
  41. {200_vocab_size → legacy/200_vocab_size}/round_0/tensorboard/events.out.tfevents.1773580286.node46.2231821.0 +0 -0
  42. {200_vocab_size → legacy/200_vocab_size}/round_1/E1_best.pt +0 -0
  43. {200_vocab_size → legacy/200_vocab_size}/round_1/E1_last.pt +0 -0
  44. {200_vocab_size → legacy/200_vocab_size}/round_1/tensorboard/events.out.tfevents.1773676817.node45.3132069.0 +0 -0
  45. {200_vocab_size → legacy/200_vocab_size}/round_2/E1_best.pt +0 -0
  46. {200_vocab_size → legacy/200_vocab_size}/round_2/E1_last.pt +0 -0
  47. {200_vocab_size → legacy/200_vocab_size}/round_2/tensorboard/events.out.tfevents.1773752778.node16.3114272.0 +0 -0
  48. {500_vocab_size → legacy/500_vocab_size}/round_0/E1_best.pt +0 -0
  49. {500_vocab_size → legacy/500_vocab_size}/round_0/E1_last.pt +0 -0
  50. {500_vocab_size → legacy/500_vocab_size}/round_0/tensorboard/events.out.tfevents.1773579970.node45.2864591.0 +0 -0
HuBERT/500/config.yaml ADDED
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+ training:
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+ run_name: 500_long
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+ epochs: 150
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+ learning_rate: 0.0001
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+ log_interval: 100
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+ checkpoint_dir: null
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+ resume_from: /home/infres/lasri-22/snlp_project/outputs/500_long/2026-03-22/14-36-07/round_0/E1_last.pt
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+ n_iterative_pseudolabeling: 3
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+ lr_scheduler:
10
+ _target_: torch.optim.lr_scheduler.CosineAnnealingLR
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+ T_max: ${training.epochs}
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+ eta_min: 1.0e-06
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+ lr_scheduler_start_epoch: 150
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+ dataset:
15
+ root: data/LibriSpeech
16
+ train_split: train-clean-100
17
+ test_split: test-clean
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+ batch_size: 32
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+ num_workers: 1
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+ noise_dir: noise_fullband
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+ max_audio_length: 160000
22
+ augmentations:
23
+ max_augs: 4
24
+ time_stretch: true
25
+ pitch_shift: true
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+ reverberation: true
27
+ noise: true
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+ rir_dir: data/rirs
29
+ activate_extra_augs: true
30
+ echo:
31
+ enabled: true
32
+ volume_range:
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+ - 0.1
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+ - 0.5
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+ duration_range:
36
+ - 0.1
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+ - 0.5
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+ random_noise:
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+ enabled: true
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+ noise_std: 0.001
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+ pink_noise:
42
+ enabled: true
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+ noise_std: 0.01
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+ lowpass_filter:
45
+ enabled: true
46
+ cutoff_freq: 5000
47
+ highpass_filter:
48
+ enabled: true
49
+ cutoff_freq: 500
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+ bandpass_filter:
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+ enabled: true
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+ cutoff_freq_low: 300
53
+ cutoff_freq_high: 8000
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+ smooth:
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+ enabled: true
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+ window_size_range:
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+ - 2
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+ - 10
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+ boost_audio:
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+ enabled: true
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+ amount: 20
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+ duck_audio:
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+ enabled: true
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+ amount: 20
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+ updownresample:
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+ enabled: true
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+ intermediate_freq: 32000
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+ model:
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+ name: hubert-base-ls960
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+ layer: 6
71
+ vocab_size: 500
72
+ kind_kmeans: kmeans
73
+ quantizer:
74
+ hidden_dim: 256
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HuBERT/500_1_augmentation/config.yaml ADDED
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+ training:
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+ run_name: 500_long_1aug
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+ epochs: 250
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+ learning_rate: 0.0001
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+ log_interval: 100
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+ checkpoint_dir: null
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+ resume_from: /home/infres/lasri-22/snlp_project/outputs/500_long_1aug/2026-03-23/17-03-24/round_0/E1_last.pt
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+ n_iterative_pseudolabeling: 3
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+ lr_scheduler:
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+ _target_: torch.optim.lr_scheduler.CosineAnnealingLR
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+ T_max: ${training.epochs}
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+ eta_min: 1.0e-06
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+ lr_scheduler_start_epoch: 250
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+ dataset:
15
+ root: data/LibriSpeech
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+ train_split: train-clean-100
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+ test_split: test-clean
18
+ batch_size: 32
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+ num_workers: 1
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+ noise_dir: noise_fullband
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+ max_audio_length: 160000
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+ augmentations:
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+ max_augs: 1
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+ time_stretch: true
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+ pitch_shift: true
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+ reverberation: true
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+ noise: true
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+ rir_dir: data/rirs
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+ activate_extra_augs: true
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+ echo:
31
+ enabled: true
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+ volume_range:
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+ - 0.1
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+ - 0.5
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+ duration_range:
36
+ - 0.1
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+ - 0.5
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+ random_noise:
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+ enabled: true
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+ noise_std: 0.001
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+ pink_noise:
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+ enabled: true
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+ noise_std: 0.01
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+ lowpass_filter:
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+ enabled: true
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+ cutoff_freq: 5000
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+ highpass_filter:
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+ enabled: true
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+ cutoff_freq: 500
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+ bandpass_filter:
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+ enabled: true
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+ cutoff_freq_low: 300
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+ cutoff_freq_high: 8000
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+ smooth:
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+ enabled: true
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+ window_size_range:
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+ - 2
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+ - 10
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+ boost_audio:
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+ enabled: true
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+ amount: 20
62
+ duck_audio:
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+ enabled: true
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+ amount: 20
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+ updownresample:
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+ enabled: true
67
+ intermediate_freq: 32000
68
+ model:
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+ name: hubert-base-ls960
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+ layer: 6
71
+ vocab_size: 500
72
+ kind_kmeans: kmeans
73
+ quantizer:
74
+ hidden_dim: 256
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+ training:
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+ run_name: 500_no_extra_augs
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+ epochs: 150
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+ learning_rate: 0.0001
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+ log_interval: 100
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+ checkpoint_dir: null
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+ resume_from: /home/infres/lasri-22/snlp_project/outputs/500_no_extra_augs/2026-03-22/14-38-27/round_0/E1_last.pt
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+ n_iterative_pseudolabeling: 3
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+ lr_scheduler:
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+ _target_: torch.optim.lr_scheduler.CosineAnnealingLR
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+ T_max: ${training.epochs}
12
+ eta_min: 1.0e-06
13
+ lr_scheduler_start_epoch: 150
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+ dataset:
15
+ root: data/LibriSpeech
16
+ train_split: train-clean-100
17
+ test_split: test-clean
18
+ batch_size: 32
19
+ num_workers: 1
20
+ noise_dir: noise_fullband
21
+ max_audio_length: 160000
22
+ augmentations:
23
+ max_augs: 1
24
+ time_stretch: true
25
+ pitch_shift: true
26
+ reverberation: true
27
+ noise: true
28
+ rir_dir: data/rirs
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+ activate_extra_augs: false
30
+ echo:
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+ enabled: true
32
+ volume_range:
33
+ - 0.1
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+ - 0.5
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+ duration_range:
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+ random_noise:
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+ enabled: true
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+ noise_std: 0.001
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+ pink_noise:
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+ enabled: true
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+ highpass_filter:
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+ enabled: true
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+ cutoff_freq: 500
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+ bandpass_filter:
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+ enabled: true
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+ cutoff_freq_high: 8000
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+ smooth:
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+ enabled: true
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+ window_size_range:
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+ - 2
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+ - 10
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+ boost_audio:
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+ enabled: true
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+ amount: 20
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+ duck_audio:
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+ enabled: true
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+ amount: 20
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+ updownresample:
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+ enabled: true
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+ intermediate_freq: 32000
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+ model:
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+ name: hubert-base-ls960
70
+ layer: 6
71
+ vocab_size: 500
72
+ kind_kmeans: kmeans
73
+ quantizer:
74
+ hidden_dim: 256
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