data.json

{
  "datasets": {
    "timit_data_path": "/home/yongyug/data/timit/TIMIT",
    "noise_path": "/home/yongyug/data/aec_challenge/datasets/noise",
    "rir_table": "/home/yongyug/data/aec_challenge/datasets/acoustic_params/RIR_table_simple.csv",
    "output_path": "/home/yongyug/data/timit_aec_output"
  },
  "configs": {
    "audio_length": 8,
    "samplerate": 16000,
    "use_reverb": true,
    "clipping_threshold": 0.99,
    "lowerbound_ser": -10,
    "upperbound_ser": 13,
    "lowerbound_snr": -5,
    "upperbound_snr": 20,
    "target_level_lower": -35,
    "target_level_upper": -15,
    "target_level": -25,
    "lower_t60": 0.6,
    "upper_t60": 1.3,
    "predelay": 50,
    "silence_length": 0.2,
    "add_nonlinear": true,
    "train": {
      "same_gender_pair": 30,
      "diff_gender_pair": 40,
      "csv_file_name": "train.csv"
    },
    "test": {
      "same_gender_pair": 3,
      "diff_gender_pair": 4,
      "csv_file_name": "test.csv"
    }

  }

}