发明授权
EP1488411B1 SYSTEM FOR ESTIMATING PARAMETERS OF A GAUSSIAN MIXTURE MODEL (GMM), OR A GMM BASED HIDDEN MARKOV MODEL 有权
一种用于确定的高斯混合模型(GMM)GMM或基于隐马尔可夫模型参数

  • 专利标题: SYSTEM FOR ESTIMATING PARAMETERS OF A GAUSSIAN MIXTURE MODEL (GMM), OR A GMM BASED HIDDEN MARKOV MODEL
  • 专利标题(中): 一种用于确定的高斯混合模型(GMM)GMM或基于隐马尔可夫模型参数
  • 申请号: EP03712399.9
    申请日: 2003-03-24
  • 公开(公告)号: EP1488411B1
    公开(公告)日: 2006-10-18
  • 发明人: WEBBER, Christopher J. St. Clair, QinetiQ Malvern
  • 申请人: Qinetiq Limited
  • 申请人地址: 85 Buckingham Gate London, SW1E 6PD GB
  • 专利权人: Qinetiq Limited
  • 当前专利权人: Qinetiq Limited
  • 当前专利权人地址: 85 Buckingham Gate London, SW1E 6PD GB
  • 代理机构: Clarke, Alan
  • 优先权: GB0207343 20020328
  • 国际公布: WO2003083831 20031009
  • 主分类号: G10L15/14
  • IPC分类号: G10L15/14
SYSTEM FOR ESTIMATING PARAMETERS OF A GAUSSIAN MIXTURE MODEL (GMM), OR A GMM BASED HIDDEN MARKOV MODEL
摘要:
A signal processing system is disclosed which is implemented using Gaussian Mixture Model (GMM) based Hidden Markov Model (HMM), or a GMM alone, parameters of which are constrained during its optimisation procedure. Also disclosed is a constraint system applied to input vectors representing the input signal to the system. The invention is particularly, but not exclusively, related to speech recognition systems. The invention reduces the tendency, common in prior art systems, to get caught in local minima associated with highly anisotropic Gaussian components - which reduces the recogniser performance - by employing the constraint system as above whereby the anisotropy of such components may be minimised. The invention also covers a method of processing a signal, and a speech recogniser trained according to the method.
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