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feat: Making the configs' properties relative paths.
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25 changes: 25 additions & 0 deletions
25
everyvoice/tests/data/relative/config/everyvoice-aligner.yaml
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model: {conv_dim: 512, lstm_dim: 512} | ||
path_to_preprocessing_config_file: everyvoice-shared-data.yaml | ||
path_to_text_config_file: everyvoice-shared-text.yaml | ||
training: | ||
batch_size: 16 | ||
binned_sampler: true | ||
ckpt_epochs: 1 | ||
extraction_method: dijkstra | ||
filelist_loader: everyvoice.utils.generic_dict_loader | ||
logger: {name: AlignerExperiment, save_dir: ../logs_and_checkpoints, sub_dir_callable: everyvoice.utils.get_current_time, | ||
version: base} | ||
max_epochs: 1000 | ||
max_steps: 100000 | ||
optimizer: | ||
betas: [0.9, 0.98] | ||
eps: 1.0e-08 | ||
learning_rate: 0.0001 | ||
name: adamw | ||
weight_decay: 0.01 | ||
plot_steps: 1000 | ||
save_top_k_ckpts: 5 | ||
train_data_workers: 4 | ||
training_filelist: ../preprocessed/training_filelist.psv | ||
val_data_workers: 0 | ||
validation_filelist: ../preprocessed/validation_filelist.psv |
20 changes: 20 additions & 0 deletions
20
everyvoice/tests/data/relative/config/everyvoice-shared-data.yaml
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audio: {alignment_bit_depth: 16, alignment_sampling_rate: 22050, f_max: 8000, f_min: 0, | ||
fft_hop_frames: 256, fft_window_frames: 1024, input_sampling_rate: 22050, max_audio_length: 11.0, | ||
max_wav_value: 32767.0, min_audio_length: 0.4, n_fft: 1024, n_mels: 80, norm_db: -3.0, | ||
output_sampling_rate: 22050, sil_duration: 0.1, sil_threshold: 1.0, spec_type: mel-librosa, | ||
target_bit_depth: 16, vocoder_segment_size: 8192} | ||
dataset: relative | ||
dataset_split_seed: 1234 | ||
energy_phone_averaging: true | ||
pitch_phone_averaging: true | ||
pitch_type: pyworld | ||
save_dir: ../preprocessed | ||
source_data: | ||
- data_dir: ../../lj/wavs | ||
filelist: ../r-filelist.psv | ||
filelist_loader: everyvoice.utils.generic_dict_loader | ||
label: dataset_0 | ||
sox_effects: | ||
- [channel, '1'] | ||
train_split: 0.9 | ||
value_separator: -- |
8 changes: 8 additions & 0 deletions
8
everyvoice/tests/data/relative/config/everyvoice-shared-text.yaml
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cleaners: [everyvoice.utils.lower, everyvoice.utils.collapse_whitespace, everyvoice.utils.nfc_normalize] | ||
symbols: | ||
dataset_0-symbols: [' ', '''', ',', '-', ., C, E, H, K, P, T, a, b, c, d, e, f, | ||
g, h, i, l, m, n, o, p, r, s, t, u, v, w, x, y] | ||
pad: _ | ||
punctuation: [] | ||
silence: [<SIL>] | ||
to_replace: {} |
41 changes: 41 additions & 0 deletions
41
everyvoice/tests/data/relative/config/everyvoice-spec-to-wav.yaml
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model: | ||
activation_function: everyvoice.utils.original_hifigan_leaky_relu | ||
depthwise_separable_convolutions: {generator: false} | ||
istft_layer: true | ||
mpd_layers: [2, 3, 5, 7, 11] | ||
msd_layers: 3 | ||
resblock: '1' | ||
resblock_dilation_sizes: | ||
- [1, 3, 5] | ||
- [1, 3, 5] | ||
- [1, 3, 5] | ||
resblock_kernel_sizes: [3, 7, 11] | ||
upsample_initial_channel: 512 | ||
upsample_kernel_sizes: [16, 16] | ||
upsample_rates: [8, 8] | ||
path_to_preprocessing_config_file: everyvoice-shared-data.yaml | ||
training: | ||
batch_size: 16 | ||
ckpt_epochs: 1 | ||
filelist_loader: everyvoice.utils.generic_dict_loader | ||
finetune: false | ||
freeze_layers: {all_layers: false, generator: false, mpd: false, msd: false} | ||
gan_type: original | ||
generator_warmup_steps: 0 | ||
logger: {name: VocoderExperiment, save_dir: ../logs_and_checkpoints, sub_dir_callable: everyvoice.utils.get_current_time, | ||
version: base} | ||
max_epochs: 1000 | ||
max_steps: 100000 | ||
optimizer: | ||
betas: [0.9, 0.98] | ||
eps: 1.0e-08 | ||
learning_rate: 0.0001 | ||
name: adamw | ||
weight_decay: 0.01 | ||
save_top_k_ckpts: 5 | ||
train_data_workers: 4 | ||
training_filelist: ../preprocessed/training_filelist.psv | ||
use_weighted_sampler: false | ||
val_data_workers: 0 | ||
validation_filelist: ../preprocessed/validation_filelist.psv | ||
wgan_clip_value: 0.01 |
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