- 专利标题: Factored transforms for separable adaptation of acoustic models
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申请号: US13427907申请日: 2012-03-23
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公开(公告)号: US09984678B2公开(公告)日: 2018-05-29
- 发明人: Michael Lewis Seltzer , Alejandro Acero
- 申请人: Michael Lewis Seltzer , Alejandro Acero
- 申请人地址: US WA Redmond
- 专利权人: MICROSOFT TECHNOLOGY LICENSING, LLC
- 当前专利权人: MICROSOFT TECHNOLOGY LICENSING, LLC
- 当前专利权人地址: US WA Redmond
- 代理机构: Medley, Behrens & Lewis, LLC
- 主分类号: G10L15/06
- IPC分类号: G10L15/06 ; G10L15/20 ; G10L15/07
摘要:
Various technologies described herein pertain to adapting a speech recognizer to input speech data. A first linear transform can be selected from a first set of linear transforms based on a value of a first variability source corresponding to the input speech data, and a second linear transform can be selected from a second set of linear transforms based on a value of a second variability source corresponding to the input speech data. The linear transforms in the first and second sets can compensate for the first variability source and the second variability source, respectively. Moreover, the first linear transform can be applied to the input speech data to generate intermediate transformed speech data, and the second linear transform can be applied to the intermediate transformed speech data to generate transformed speech data. Further, speech can be recognized based on the transformed speech data to obtain a result.
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