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PaddleSpeech/examples/hey_snips/kws0/conf/mdtc.yaml

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# https://yaml.org/type/float.html
###########################################
# Data #
###########################################
dataset: 'paddlespeech.audio.datasets:HeySnips'
data_dir: '/PATH/TO/DATA/hey_snips_research_6k_en_train_eval_clean_ter'
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############################################
# Network Architecture #
############################################
backbone: 'paddlespeech.kws.models:MDTC'
num_keywords: 1
stack_num: 3
stack_size: 4
in_channels: 80
res_channels: 32
kernel_size: 5
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###########################################
# Feature #
###########################################
feat_type: 'kaldi_fbank'
sample_rate: 16000
frame_shift: 10
frame_length: 25
n_mels: 80
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###########################################
# Training #
###########################################
epochs: 100
num_workers: 16
batch_size: 100
checkpoint_dir: './checkpoint'
save_freq: 10
log_freq: 10
learning_rate: 0.001
weight_decay: 0.00005
grad_clip: 5.0
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###########################################
# Scoring #
###########################################
batch_size: 100
num_workers: 16
checkpoint: './checkpoint/epoch_100/model.pdparams'
score_file: './scores.txt'
stats_file: './stats.0.txt'
img_file: './det.png'