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################################
# Audio Parameters #
################################
sample_rate: 22050
hop_length: 256
win_length: 1024
n_mel_channels: 80
n_fft: 1024
mel_fmin: 0.0
mel_fmax: 8000.0
mel_normalized: False
power: 1
norm: "slaney"
mel_scale: "slaney"
dynamic_range_compression: True
################################
# Speaker Embedding Parameters #
################################
spk_emb_size: 192
spk_emb_sample_rate: 16000
custom_mel_spec_encoder: True
spk_emb_encoder: speechbrain/spkrec-ecapa-voxceleb-mel-spec
################################
# Optimization Hyperparameters #
################################
mask_padding: True
################################
# Model Parameters and model #
################################
n_symbols: 148 #fixed depending on symbols in textToSequence
symbols_embedding_dim: 1024
# Encoder parameters
encoder_kernel_size: 5
encoder_n_convolutions: 6
encoder_embedding_dim: 1024
# Decoder parameters
# The number of frames in the target per encoder step
n_frames_per_step: 1
decoder_rnn_dim: 2048
prenet_dim: 512
max_decoder_steps: 1500
gate_threshold: 0.5
p_attention_dropout: 0.1
p_decoder_dropout: 0.1
decoder_no_early_stopping: False
# Attention parameters
attention_rnn_dim: 2048
attention_dim: 256
# Location Layer parameters
attention_location_n_filters: 32
attention_location_kernel_size: 31
# Mel-post processing network parameters
postnet_embedding_dim: 1024
postnet_kernel_size: 5
postnet_n_convolutions: 10
mel_spectogram: !name:speechbrain.lobes.models.Tacotron2.mel_spectogram
sample_rate: !ref <sample_rate>
hop_length: !ref <hop_length>
win_length: !ref <win_length>
n_fft: !ref <n_fft>
n_mels: !ref <n_mel_channels>
f_min: !ref <mel_fmin>
f_max: !ref <mel_fmax>
power: !ref <power>
normalized: !ref <mel_normalized>
norm: !ref <norm>
mel_scale: !ref <mel_scale>
compression: !ref <dynamic_range_compression>
#model
model: !new:speechbrain.lobes.models.MSTacotron2.Tacotron2
mask_padding: !ref <mask_padding>
n_mel_channels: !ref <n_mel_channels>
# symbols
n_symbols: !ref <n_symbols>
symbols_embedding_dim: !ref <symbols_embedding_dim>
# encoder
encoder_kernel_size: !ref <encoder_kernel_size>
encoder_n_convolutions: !ref <encoder_n_convolutions>
encoder_embedding_dim: !ref <encoder_embedding_dim>
# attention
attention_rnn_dim: !ref <attention_rnn_dim>
attention_dim: !ref <attention_dim>
# attention location
attention_location_n_filters: !ref <attention_location_n_filters>
attention_location_kernel_size: !ref <attention_location_kernel_size>
# decoder
n_frames_per_step: !ref <n_frames_per_step>
decoder_rnn_dim: !ref <decoder_rnn_dim>
prenet_dim: !ref <prenet_dim>
max_decoder_steps: !ref <max_decoder_steps>
gate_threshold: !ref <gate_threshold>
p_attention_dropout: !ref <p_attention_dropout>
p_decoder_dropout: !ref <p_decoder_dropout>
# postnet
postnet_embedding_dim: !ref <postnet_embedding_dim>
postnet_kernel_size: !ref <postnet_kernel_size>
postnet_n_convolutions: !ref <postnet_n_convolutions>
decoder_no_early_stopping: !ref <decoder_no_early_stopping>
# speaker embeddings
spk_emb_size: !ref <spk_emb_size>
modules:
model: !ref <model>
pretrainer: !new:speechbrain.utils.parameter_transfer.Pretrainer
loadables:
model: !ref <model>
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