发明授权
US07693713B2 Speech models generated using competitive training, asymmetric training, and data boosting 有权
使用竞争性训练,不对称训练和数据提升产生的语音模型

  • 专利标题: Speech models generated using competitive training, asymmetric training, and data boosting
  • 专利标题(中): 使用竞争性训练,不对称训练和数据提升产生的语音模型
  • 申请号: US11156106
    申请日: 2005-06-17
  • 公开(公告)号: US07693713B2
    公开(公告)日: 2010-04-06
  • 发明人: Xiaodong HeJian Wu
  • 申请人: Xiaodong HeJian Wu
  • 申请人地址: US WA Redmond
  • 专利权人: Microsoft Corporation
  • 当前专利权人: Microsoft Corporation
  • 当前专利权人地址: US WA Redmond
  • 代理机构: Westman, Champlin & Kelly, P.A.
  • 代理商 Joseph R. Kelly
  • 主分类号: G10L15/06
  • IPC分类号: G10L15/06
Speech models generated using competitive training, asymmetric training, and data boosting
摘要:
Speech models are trained using one or more of three different training systems. They include competitive training which reduces a distance between a recognized result and a true result, data boosting which divides and weights training data, and asymmetric training which trains different model components differently.
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