mirror of https://github.com/coqui-ai/TTS.git
52 lines
1.6 KiB
Python
52 lines
1.6 KiB
Python
from dataclasses import dataclass, field
|
|
|
|
from .shared_configs import BaseGANVocoderConfig
|
|
|
|
|
|
@dataclass
|
|
class MelganConfig(BaseGANVocoderConfig):
|
|
"""Defines parameters for MelGAN vocoder."""
|
|
|
|
model: str = "melgan"
|
|
|
|
# Model specific params
|
|
discriminator_model: str = "melgan_multiscale_discriminator"
|
|
discriminator_model_params: dict = field(
|
|
default_factory=lambda: {"base_channels": 16, "max_channels": 1024, "downsample_factors": [4, 4, 4, 4]}
|
|
)
|
|
generator_model: str = "melgan_generator"
|
|
generator_model_params: dict = field(
|
|
default_factory=lambda: {"upsample_factors": [8, 8, 2, 2], "num_res_blocks": 3}
|
|
)
|
|
|
|
# Training - overrides
|
|
batch_size: int = 16
|
|
seq_len: int = 8192
|
|
pad_short: int = 2000
|
|
use_noise_augment: bool = True
|
|
use_cache: bool = True
|
|
|
|
# LOSS PARAMETERS - overrides
|
|
use_stft_loss: bool = True
|
|
use_subband_stft_loss: bool = False
|
|
use_mse_gan_loss: bool = True
|
|
use_hinge_gan_loss: bool = False
|
|
use_feat_match_loss: bool = True # requires MelGAN Discriminators (MelGAN and HifiGAN)
|
|
use_l1_spec_loss: bool = False
|
|
|
|
stft_loss_params: dict = field(
|
|
default_factory=lambda: {
|
|
"n_ffts": [1024, 2048, 512],
|
|
"hop_lengths": [120, 240, 50],
|
|
"win_lengths": [600, 1200, 240],
|
|
}
|
|
)
|
|
|
|
# loss weights - overrides
|
|
stft_loss_weight: float = 0.5
|
|
subband_stft_loss_weight: float = 0
|
|
mse_G_loss_weight: float = 2.5
|
|
hinge_G_loss_weight: float = 0
|
|
feat_match_loss_weight: float = 108
|
|
l1_spec_loss_weight: float = 0
|