Unsupervised Speaker Adaptation Using Speaker-Class Models for Lecture Speech Recognition
スポンサーリンク
概要
- 論文の詳細を見る
In this paper, we propose a new speaker-class modeling and its adaptation method for the LVCSR system and evaluate the method on the Corpus of Spontaneous Japanese (CSJ). In this method, closer speakers are selected from training speakers and the acoustic models are trained by using their utterances for each evaluation speaker. One of the major issues of the speaker-class model is determining the selection range of speakers. In order to solve the problem, several models which have a variety of speaker range are prepared for each evaluation speaker in advance, and the most proper model is selected on a likelihood basis in the recognition step. In addition, we improved the recognition performance using unsupervised speaker adaptation with the speaker-class models. In the recognition experiments, a significant improvement could be obtained by using the proposed speaker adaptation based on speaker-class models compared with the conventional adaptation method.
論文 | ランダム
- 『往生要集』跋文の変遷
- 青森県津軽半島の下部中新統磯松層の地質とストロンチウム同位体年代
- 医療・福祉と方言--津軽の社会問題として
- 田舎館式土器の再検討--津軽平野南部における弥生時代中期土器型式の変遷と型式交渉
- 土木技術アーカイブス(第7回)「津軽海峡海底隧道の地質その他について」伊崎晃著のその後(『土木技術』1955年1月号掲載)