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PaddleSpeech/examples/voxceleb/sv0/conf/ecapa_tdnn.yaml

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###########################################
# Data #
###########################################
augment: True
batch_size: 32
num_workers: 2
num_speakers: 1211 # 1211 vox1, 5994 vox2, 7205 vox1+2, test speakers: 41
shuffle: True
skip_prep: False
split_ratio: 0.9
chunk_duration: 3.0 # seconds
random_chunk: True
verification_file: data/vox1/veri_test2.txt
###########################################################
# FEATURE EXTRACTION SETTING #
###########################################################
# currently, we only support fbank
sr: 16000 # sample rate
n_mels: 80
window_size: 400 #25ms, sample rate 16000, 25 * 16000 / 1000 = 400
hop_size: 160 #10ms, sample rate 16000, 10 * 16000 / 1000 = 160
###########################################################
# MODEL SETTING #
###########################################################
# currently, we only support ecapa-tdnn in the ecapa_tdnn.yaml
# if we want use another model, please choose another configuration yaml file
model:
input_size: 80
channels: [1024, 1024, 1024, 1024, 3072]
kernel_sizes: [5, 3, 3, 3, 1]
dilations: [1, 2, 3, 4, 1]
attention_channels: 128
lin_neurons: 192
###########################################
# Training #
###########################################
seed: 1986 # according from speechbrain configuration
epochs: 10
save_interval: 10
log_interval: 10
learning_rate: 1e-8
###########################################
# Testing #
###########################################
global_embedding_norm: True
embedding_mean_norm: True
embedding_std_norm: False