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anon_pipelines
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anon_pipelines
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[cmd]
device = cuda
jobs_per_compute_device = 2
ngpu = all-force
pipeline = B6
##
# Models:
# https://github.com/deep-privacy/SA-toolkit/releases/download/hifigan_inception_bn_tdnnf_wav2vec2_train_600_vq_48_v1/final.pt
# https://github.com/deep-privacy/SA-toolkit/releases/download/hifigan_bn_tdnnf_wav2vec2_vq_48_v1/final.pt
# https://github.com/deep-privacy/SA-toolkit/releases/download/hifigan_bn_tdnnf_wav2vec2_100h_aug_v1/final.pt
# https://github.com/deep-privacy/SA-toolkit/releases/download/hifigan_bn_tdnnf_600h_vq_48_v1/final.pt
# https://github.com/deep-privacy/SA-toolkit/releases/download/hifigan_bn_tdnnf_600h_aug_v1/final.pt
# https://github.com/deep-privacy/SA-toolkit/releases/download/hifigan_bn_tdnnf_100h_vq_64_v1/final.pt
# https://github.com/deep-privacy/SA-toolkit/releases/download/hifigan_bn_tdnnf_100h_vq_256_v1/final.pt
# https://github.com/deep-privacy/SA-toolkit/releases/download/hifigan_bn_tdnnf_100h_aug_v1/final.pt
##
# Target_selection_algorithm:
# constant
# random_per_utt
# bad_for_evaluation
# random_per_spk_uniq (spk-level like vpc2020) (also bad for eval, see thesis)
##
# F0_modification
# quant_XXX
# awgn_XXX
## Target_constant_spkid
# One of libritts
[pipeline_no_target_f0_mod]
## From PATH:
# model = exp/hifigan_m2o_bn_tdnnf_wav2vec2_train_600_vq_48/final.pt
## From URL:
model = https://github.com/deep-privacy/SA-toolkit/releases/download/hifigan_inception_bn_tdnnf_wav2vec2_train_600_vq_48_v1/final.pt
f0_modification = quant_16_awgn_2
# No target_selection_algorithm trained to be similar to 6081 (train any-many VC -> generate train data 6081 -> train any-one VC)
target_selection_algorithm = none
new_datadir_suffix = _vc_any_to_one_f0_quant_16_awgn_2
batch_size = 8
[pipeline_no_target]
model = exp/hifigan_m2o_bn_tdnnf_wav2vec2_train_600_vq_48/final.pt
f0_modification = none
target_selection_algorithm = none
new_datadir_suffix = _vc_any_to_one
batch_size = 8
[B5]
model = exp/hifigan_bn_tdnnf_wav2vec2_train_600_aug/final.pt
f0_modification = none
target_selection_algorithm = constant
target_constant_spkid = 6081
new_datadir_suffix = _vc_to_6081
batch_size = 8
[B6]
model = https://github.com/deep-privacy/SA-toolkit/releases/download/hifigan_bn_tdnnf_wav2vec2_vq_48_v1/final.pt
f0_modification = none
target_selection_algorithm = constant
target_constant_spkid = 6081
new_datadir_suffix = _anon
batch_size = 8
# vim:set et sw=2 ts=2 ft=toml: