model_arrl4.yaml

model:
    # model constants
    directory: "/Volumes/Elements/model-arrl4"
    name: "model-arrl4/"
    batchSize: 100  
    imgSize: !!python/tuple [128,32] 
    maxTextLen: 32
    earlyStopping: 5
    corpus: "arrl_corpus.txt"
    split: 0.70  # 70% training - 30% validation
    numTrainSamplesPerEpoch: 5000

morse:
    fnTrain:    "/Volumes/Elements/model-arrl4/morsewords.txt"
    fnAudio:    "/Volumes/Elements/model-arrl4/"
    count:      25000
    SNR_dB:     
      - 40
      - 30
      - 20
      - 10
      - 6
      - 3
      - -3
      - -6
    f_code:     600
    Fs:         8000
    code_speed: 
      - 40
      - 30
      - 25
      - 22
      - 20
      - 18
    length_seconds:   4
    play_sound: False
    word_max_length: 5
    words_in_sample: 1

experiment:
    modelDir:   "/Volumes/Elements/model-arrl4/"
    fnAccuracy: "/Volumes/Elements/model-arrl4/accuracy.txt"
    fnTrain:    "/Volumes/Elements/model-arrl4/morsewords.txt"
    fnInfer:    "/Volumes/Elements/model-arrl4/test.png"
    fnCorpus:   "/Volumes/Elements/model-arrl4/corpus.txt"
    fnCharList: "/Volumes/Elements/model-arrl4/wordCharList.txt"