Lattice-based unsupervised maximum likelihood line
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专利内容由知识产Biblioteka 出版社提供专利名称：Lattice-based unsupervised maximum likelihood linear regression for speaker adapt at ion
发明人：Mukund Padmanabhan,George A. Saon,Geoffrey G. Zweig
申请号：US09670251 申请日：20000926 公开号：US07216077B1 公开日：20070508 专利附图：
摘要：Methods and arrangements using lattice-based information for unsupervised
speaker adaptation. By performing adaptation against a word lattice, correct models are more likely to be used in estimating a transform. Further, a particular type of lattice proposed herein enables the use of a natural confidence measure given by the posterior occupancy probability of a state, that is, the statistics of a particular state will be updated with the current frame only if the a posteriori probability of the state at that particular time is greater than a predetermined threshold.
申请人：Mukund Padmanabhan,George A. Saon,Geoffrey G. Zweig 地址：White Plains NY US,Putnam Valley NY US,Greenwich CT US 国籍：US,US,US 代理机构：Ference & Associates 更多信息请下载全文后查看