Baseline

Python Modules

recipes.cpc3.baseline.compute_haspi

Compute the HASPI scores.

recipes.cpc3.baseline.evaluate

Evaluate the predictions against the ground truth correctness values

recipes.cpc3.baseline.predict_dev

Make intelligibility predictions from HASPI scores.

recipes.cpc3.baseline.predict_train

Make intelligibility predictions from HASPI scores.

recipes.cpc3.baseline.shared_predict_utils

Configuration Files

config.yaml

 1clarity_data_root: ../clarity_CPC3_data # relative to the exp/ directory
 2dataset: clarity_demo_data # For testing - use 'clarity_data' for full dataset
 3split: train # When using the training set
 4
 5compute_haspi:
 6  batch: 1
 7  n_batches: 1
 8  set_random_seed: True
 9
10hydra:
11  run:
12    dir: exp
13  job:
14    chdir: True