data:
  dataset: 'paddle.audio.datasets:ESC50'
  num_classes: 50
  train:
    mode: 'train'
    split: 1
  dev:
    mode: 'dev'
    split: 1

model:
  backbone: 'paddlespeech.cls.models:cnn14'

feature:
  sr: 32000
  n_fft: 1024
  hop_length: 320
  window: 'hann'
  win_length: 1024
  f_min: 50.0
  f_max: 14000.0
  n_mels: 64

training:
  epochs: 50
  learning_rate: 0.00005
  num_workers: 2
  batch_size: 16
  checkpoint_dir: './checkpoint'
  save_freq: 10
  log_freq: 10

predicting:
  audio_file: '/audio/dog.wav'
  top_k: 10
  checkpoint: './checkpoint/epoch_50/model.pdparams'