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anon_pipelines
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[cmd]
device = cuda
jobs_per_compute_device = 2
# *all-force* or *all* (detect avaiable gpu) or number *1* for number of gpu or list *[0]* for gpuid 0 *[0,1]* for gpuid 0 and 1
ngpu = all-force
# Can be overwrited by --pipeline
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
# VPC 2024 Baseline B6
[B6]
model = https://github.com/deep-privacy/SA-toolkit/releases/download/hifigan_bn_tdnnf_600h_vq_48_v1/final.pt
f0_modification = none
target_selection_algorithm = random_per_utt
# target_selection_algorithm = constant
target_constant_spkid = 6081
new_datadir_suffix = _anon_B6
batch_size = 8
# VPC 2024 Baseline B5
[B5]
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 = random_per_utt
# target_selection_algorithm = constant
target_constant_spkid = 6081
new_datadir_suffix = _anon_B5
batch_size = 8
# VPC 2024 Baseline B5 + F0 transformations
[B5_f0t]
model = https://github.com/deep-privacy/SA-toolkit/releases/download/hifigan_bn_tdnnf_wav2vec2_vq_48_v1/final.pt
f0_modification = quant_16_awgn_2
target_selection_algorithm = constant
target_constant_spkid = 6081
new_datadir_suffix = _anon_B5_f0t
batch_size = 8
[B5_clean_speech_f0t]
model = ./exp/clean_hifigan_bn_tdnnf_wav2vec2_train_600_vq_48/g_00149000.pt
f0_modification = quant_16_awgn_2
target_selection_algorithm = constant
target_constant_spkid = 6081
new_datadir_suffix = _anon_B5_clean
batch_size = 8
[hifigan_inception]
## 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 = _inception_anon_any_to_one_f0_quant_16_awgn_2
batch_size = 8
[for_training_hifigan_inception]
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
# vim:set et sw=2 ts=2 ft=toml: