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PaddleSpeech/examples/tiny/conf/deepspeech2.yaml

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# https://yaml.org/type/float.html
data:
train_manifest: data/manifest.tiny
dev_manifest: data/manifest.tiny
test_manifest: data/manifest.tiny
mean_std_filepath: data/mean_std.npz
vocab_filepath: data/vocab.txt
augmentation_config: conf/augmentation.config
batch_size: 4
max_duration: 27.0
min_duration: 0.0
specgram_type: linear
target_sample_rate: 16000
max_freq: None
n_fft: None
stride_ms: 10.0
window_ms: 20.0
use_dB_normalization: True
target_dB: -20
random_seed: 0
keep_transcription_text: False
sortagrad: True
shuffle_method: batch_shuffle
num_workers: 0
model:
num_conv_layers: 2
num_rnn_layers: 3
rnn_layer_size: 2048
use_gru: False
share_rnn_weights: True
training:
n_epoch: 20
lr: 1e-5
lr_decay: 1.0
weight_decay: 1e-06
global_grad_clip: 5.0
decoding:
batch_size: 128
error_rate_type: wer
decoding_method: ctc_beam_search
lang_model_path: data/lm/common_crawl_00.prune01111.trie.klm
alpha: 2.5
beta: 0.3
beam_size: 500
cutoff_prob: 1.0
cutoff_top_n: 40
num_proc_bsearch: 8