Datasets:

ufal
/

parczech4speech-unsegmented

Tasks:

Automatic Speech Recognition

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Dataset card Data Studio Files Files and versions Community

stanvla commited on Jun 20

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1acee4d

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@@ -52,7 +52,7 @@ Each row represents a continuous speech segment with rich metadata:
 | `n_true_words` | Number of words in the segment. |
 | `seg_edit_dist` | Normalized Levenshtein distance between `true_text` and `rec_text`. |
 | `align_edit_dist_max` | Maximum edit distance among aligned word pairs. |
-| `true_char_avg_dur` | **Average per-character duration**, computed at the word level (range 0.035–1.0s/char). |
 | `start_token_id` | Starting token ID from the vertical format. |
 | `end_token_id` | Ending token ID. |
 | `wav2vec_rec` | Wav2Vec 2.0 decoded transcript used for verification. |

 | `n_true_words` | Number of words in the segment. |
 | `seg_edit_dist` | Normalized Levenshtein distance between `true_text` and `rec_text`. |
 | `align_edit_dist_max` | Maximum edit distance among aligned word pairs. |
+| `true_char_avg_dur` | Average per-character duration, computed at the word level. |
 | `start_token_id` | Starting token ID from the vertical format. |
 | `end_token_id` | Ending token ID. |
 | `wav2vec_rec` | Wav2Vec 2.0 decoded transcript used for verification. |