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# task
base_config: ../config_base.yaml
task_cls: ''
#############
# dataset
#############
raw_data_dir: ''
processed_data_dir: ''
binary_data_dir: ''
dict_dir: ''
pre_align_cls: ''
binarizer_cls: data_gen.tts.base_binarizer.BaseBinarizer
pre_align_args:
txt_processor: en
use_tone: true # for ZH
sox_resample: false
sox_to_wav: false
allow_no_txt: false
trim_sil: false
denoise: false
binarization_args:
shuffle: false
with_txt: true
with_wav: false
with_align: true
with_spk_embed: false
with_spk_id: true
with_f0: true
with_f0cwt: false
with_linear: false
with_word: true
trim_sil: false
trim_eos_bos: false
reset_phone_dict: true
reset_word_dict: true
word_size: 30000
pitch_extractor: parselmouth
loud_norm: false
endless_ds: true
test_num: 100
min_frames: 0
max_frames: 1548
frames_multiple: 1
max_input_tokens: 1550
audio_num_mel_bins: 80
audio_sample_rate: 22050
hop_size: 256 # For 22050Hz, 275 ~= 12.5 ms (0.0125 * sample_rate)
win_size: 1024 # For 22050Hz, 1100 ~= 50 ms (If None, win_size: fft_size) (0.05 * sample_rate)
fmin: 80 # Set this to 55 if your speaker is male! if female, 95 should help taking off noise. (To test depending on dataset. Pitch info: male~[65, 260], female~[100, 525])
fmax: 7600 # To be increased/reduced depending on data.
fft_size: 1024 # Extra window size is filled with 0 paddings to match this parameter
min_level_db: -100
ref_level_db: 20
griffin_lim_iters: 60
num_spk: 1
mel_vmin: -6
mel_vmax: 1.5
ds_workers: 1
#########
# model
#########
dropout: 0.1
enc_layers: 4
dec_layers: 4
hidden_size: 256
num_heads: 2
enc_ffn_kernel_size: 9
dec_ffn_kernel_size: 9
ffn_act: gelu
ffn_padding: 'SAME'
use_spk_id: false
use_split_spk_id: false
use_spk_embed: false
###########
# optimization
###########
lr: 2.0
scheduler: rsqrt # rsqrt|none
warmup_updates: 8000
optimizer_adam_beta1: 0.9
optimizer_adam_beta2: 0.98
weight_decay: 0
clip_grad_norm: 1
clip_grad_value: 0
###########
# train and eval
###########
max_tokens: 30000
max_sentences: 100000
max_valid_sentences: 1
max_valid_tokens: 60000
valid_infer_interval: 10000
train_set_name: 'train'
train_sets: ''
valid_set_name: 'valid'
test_set_name: 'test'
num_test_samples: 0
num_valid_plots: 10
test_ids: [ ]
vocoder_denoise_c: 0.0
profile_infer: false
out_wav_norm: false
save_gt: true
save_f0: false
gen_dir_name: '' |