| | |
|---|
| | | short_spk_list.append(spk) |
|---|
| | | |
|---|
| | | ivc_list = [kaldiio.load_mat(utt2ivc[utt]) for utt in utt_list] |
|---|
| | | ivc_list = [x/np.linalg.norm(x, axis=-1) for x in ivc_list] |
|---|
| | | ivc = np.concatenate(ivc_list, axis=0) |
|---|
| | | ivc = np.mean(ivc, axis=0, keepdims=False) |
|---|
| | | return ivc |
|---|
| | |
|---|
| | | wav_label = meeting_labels[st:ed, :] |
|---|
| | | frame_num = (ed-st) // win_shift |
|---|
| | | # wav_label = np.pad(wav_label, ((win_len/2, win_len/2), (0, 0)), "constant") |
|---|
| | | feat_label = np.zeros((frame_num, wav_label.shape[1]), dtype=int) |
|---|
| | | feat_label = np.zeros((frame_num, wav_label.shape[1]), dtype=np.float32) |
|---|
| | | for i in range(frame_num): |
|---|
| | | frame_label = wav_label[i*win_shift: (i+1)*win_shift, :] |
|---|
| | | feat_label[i, :] = (np.sum(frame_label, axis=0) > 0).astype(int) |
|---|
| | | feat_label[i, :] = (np.sum(frame_label, axis=0) > 0).astype(np.float32) |
|---|
| | | label_writer(seg_id, feat_label) |
|---|
| | | |
|---|
| | | frames_list.append((mid, feat_label.shape[0])) |
|---|
