tacotron.toml

[tacotron]

# training
BATCH_SIZE = 64
LR=1024e-6 # learning rate
MODEL_PREFIX = "mono_tts_cbhg_small"
LOG_DIR = "./logs"
CKPT_DIR = "./ckpts"
USE_MP = false  # use mixed-precision training

# data
TF_DATA_DIR = "./tf_data" # tensorflow data directory
TF_GTA_DATA_DIR = "./tf_gta_data" # tf gta data directory
SAMPLE_RATE = 24000 # convert to this sample rate if needed
MEL_DIM = 80 # the dimension of melspectrogram features
MEL_MIN = 1e-5
PAD = "_" # padding character
PAD_TOKEN = 0
END_CHARACTER = "■"  # to signal the end of the transcript
TEST_DATA_SIZE = 1024

# model
RR = 1 # reduction factor
MAX_RR=2
ATTN_BIAS = 0.0 # control how slow the attention moves forward
SIGMOID_NOISE = 2.0
PRENET_DIM = 128
TEXT_DIM = 256
RNN_DIM = 512
ATTN_RNN_DIM = 256
ATTN_HIDDEN_DIM = 128
POSTNET_DIM = 512