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Akagami-Hero_DDSP6.1

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  1. config.yaml +59 -0
  2. meta.yaml +6 -0
  3. model_0.pt +3 -0
  4. model_1000.pt +3 -0
  5. model_10000.pt +3 -0
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  11. model_15000.pt +3 -0
  12. model_16000.pt +3 -0
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  16. model_2000.pt +3 -0
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  19. model_22000.pt +3 -0
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  27. model_3000.pt +3 -0
  28. model_30000.pt +3 -0
  29. model_4000.pt +3 -0
  30. model_5000.pt +3 -0
  31. model_6000.pt +3 -0
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config.yaml ADDED
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+ data:
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+ big_chunk_size: 2000
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+ block_size: 512
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+ cnhubertsoft_gate: 10
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+ duration: 2
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+ encoder: contentvec768l12
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+ encoder_ckpt: pretrain/contentvec/checkpoint_best_legacy_500.pt
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+ encoder_hop_size: 320
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+ encoder_out_channels: 768
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+ encoder_sample_rate: 16000
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+ extensions:
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+ - wav
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+ f0_extractor: fcpe
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+ f0_max: 800
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+ f0_min: 65
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+ sampling_rate: 44100
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+ train_path: data/train
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+ use_big_chunks: true
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+ valid_path: data/val
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+ device: cuda:0
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+ env:
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+ expdir: exp/workdir
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+ gpu_id: 0
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+ infer:
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+ infer_step: 20
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+ method: euler
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+ model:
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+ n_chans: 1024
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+ n_layers: 10
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+ n_spk: 1
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+ t_start: 0.7
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+ type: RectifiedFlow
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+ use_attention: true
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+ use_pitch_aug: true
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+ win_length: 2048
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+ model_type_index: 3
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+ spks:
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+ - Akagami_Hero
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+ train:
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+ amp_dtype: fp32
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+ batch_size: 38
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+ cache_all_data: true
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+ cache_device: cpu
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+ cache_fp16: true
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+ decay_step: 50000
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+ epochs: 1035
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+ gamma: 0.5
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+ interval_force_save: 500
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+ interval_log: 1
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+ interval_val: 1000
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+ lambda_ddsp: 1
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+ lr: 0.0002
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+ num_workers: 2
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+ save_opt: false
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+ weight_decay: 0
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+ use_pretrain: true
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+ vocoder:
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+ ckpt: pretrain/nsf_hifigan/model
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+ type: nsf-hifigan
meta.yaml ADDED
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+ official: true
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+ title: ddsp6.1 cvec 1024 10 with noise and attention
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+ vec: contentvec768l12
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+ size: 1024 10
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+ vocoder: nsf-hifigan
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+ attn: true
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