| # it was originally in | |
| # /home/junhyeok/datasets/turn-taking-datasets/EASYCOM_TT/target_perframe/_event_preprocess.ipynb | |
| import os | |
| import numpy as np | |
| label_dir = 'class5' | |
| label_files = os.listdir(label_dir) | |
| print(label_files) | |
| events = {} | |
| for label_file in label_files: | |
| label_path = os.path.join(label_dir, label_file) | |
| labels = np.load(label_path) | |
| target_speaker_labels = labels[:, 1] | |
| print(label_file, len(target_speaker_labels)) | |
| event = [] | |
| for i in range(1, len(target_speaker_labels)): | |
| # state transition from 0 to 1 is the start of the event | |
| if (target_speaker_labels[i-1] == 0 and target_speaker_labels[i] == 1): | |
| event.append([i, 'target speaker speaking start']) | |
| # state transition from 1 to 0 is the end of the event | |
| if (target_speaker_labels[i-1] == 1 and target_speaker_labels[i] == 0): | |
| event.append([i-1, 'target speaker speaking end']) | |
| # save as numpy file | |
| event = np.array(event) | |
| print(f'label_file: {label_file}, event shape: {event.shape}') | |
| np.save(os.path.join('events_remove_bc', label_file), event) | |