发明名称 |
Speaker and environment adaptation based on eigenvoices including maximum likelihood method |
摘要 |
<p>A set of speaker dependent models is trained upon a comparatively large number of training speakers, one model per speaker, and model parameters are extracted in a predefined order to construct a set of supervectors, one per speaker. Principle component analysis is then performed on the set of supervectors to generate a set of eigenvectors that define an eigenvoice space. If desired, the number of vectors may be reduced to achieve data compression. Thereafter, a new speaker provides adaptation data from which a supervector is constructed by constraining this supervector to be in the eigenvoice space based on a maximum likelihood estimation. The resulting coefficients in the eigenspace of this new speaker may then be used to construct a new set of model parameters from which an adapted model is constructed for that speaker. Environmental adaptation may be performed by including environmental variations in the training data. <IMAGE></p> |
申请公布号 |
EP0953968(A2) |
申请公布日期 |
1999.11.03 |
申请号 |
EP19990303417 |
申请日期 |
1999.04.30 |
申请人 |
MATSUSHITA ELECTRIC INDUSTRIAL CO., LTD. |
发明人 |
NGUYEN, PATRICK;KUHN, ROLAND;JUNQUA, JEAN-CLAUDE |
分类号 |
G10L15/06;G10L15/14;(IPC1-7):G10L15/06 |
主分类号 |
G10L15/06 |
代理机构 |
|
代理人 |
|
主权项 |
|
地址 |
|