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# https://yaml.org/type/float.html
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###########################################
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# Data #
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###########################################
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train_manifest: data/manifest.train.tiny
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dev_manifest: data/manifest.dev
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test_manifest: data/manifest.test
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min_input_len: 5.0 # frame
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max_input_len: 3000.0 # frame
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min_output_len: 0.0 # tokens
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max_output_len: 400.0 # tokens
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min_output_input_ratio: 0.01
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max_output_input_ratio: 20.0
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###########################################
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# Dataloader #
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###########################################
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vocab_filepath: data/lang_char/vocab.txt
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unit_type: 'spm'
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spm_model_prefix: data/lang_char/bpe_unigram_8000
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mean_std_filepath: ""
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# augmentation_config: conf/augmentation.json
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batch_size: 10
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raw_wav: True # use raw_wav or kaldi feature
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spectrum_type: fbank #linear, mfcc, fbank
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feat_dim: 83
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delta_delta: False
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dither: 1.0
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target_sample_rate: 16000
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max_freq: None
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n_fft: None
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stride_ms: 10.0
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window_ms: 25.0
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use_dB_normalization: True
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target_dB: -20
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random_seed: 0
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keep_transcription_text: False
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sortagrad: True
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shuffle_method: batch_shuffle
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num_workers: 2
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############################################
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# Network Architecture #
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############################################
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cmvn_file: None
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cmvn_file_type: "json"
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# encoder related
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encoder: transformer
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encoder_conf:
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output_size: 256 # dimension of attention
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attention_heads: 4
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linear_units: 2048 # the number of units of position-wise feed forward
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num_blocks: 12 # the number of encoder blocks
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dropout_rate: 0.1
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positional_dropout_rate: 0.1
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attention_dropout_rate: 0.0
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input_layer: conv2d # encoder input type, you can chose conv2d, conv2d6 and conv2d8
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normalize_before: true
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# decoder related
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decoder: transformer
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decoder_conf:
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attention_heads: 4
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linear_units: 2048
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num_blocks: 6
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dropout_rate: 0.1
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positional_dropout_rate: 0.1
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self_attention_dropout_rate: 0.0
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src_attention_dropout_rate: 0.0
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# hybrid CTC/attention
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model_conf:
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asr_weight: 0.0
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ctc_weight: 0.0
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lsm_weight: 0.1 # label smoothing option
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length_normalized_loss: false
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###########################################
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# Training #
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###########################################
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n_epoch: 20
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accum_grad: 2
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global_grad_clip: 5.0
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optim: adam
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optim_conf:
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lr: 0.004
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weight_decay: 1.0e-06
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scheduler: warmuplr
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scheduler_conf:
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warmup_steps: 25000
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lr_decay: 1.0
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log_interval: 5
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checkpoint:
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kbest_n: 50
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latest_n: 5
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