日本語話し言葉コーパスの音声ラベリング(<特集>音声学と音声工学)

概要

論文の詳細を見る
In an attempt to construct a large-scale database of spontaneous speech, the authors planned to give segmental and prosodic labels to spontaneous Japanese speech. This paper reports the method of this labeling and its performance. First, the performance of automatic segmental labeling by Hidden Markov Model was verified. Sample speech of about four hour long was automatically phoneme labeled and compared to the results of hand-labeling. It turned out that average of label boundary difference with hand labeled data was 14.3[ms]. Second, the performance of prosodic labeling by newly proposed labeling scheme named X-JToBI (eXtended J_ToBI) was verified. The analysis of labeled data showed that newly added inventories appeared in the data of spontaneous speech and rate of inter-labeler agreement increased in nearly all types of labels.
日本音声学会の論文
2003-12-30