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Feature space Maximum Likelihood Linear Regression (fMLLR) is a widely used technique for speaker adaptation in HMM-based speech recognition.[1][2]

See also[edit]


  1. ^ M.J.F. Gales (1998). "Maximum likelihood linear transformations for HMM-based speech recognition". Computer Speech & Language. Elsevier. 12 (2): 75–98. doi:10.1006/csla.1998.0043.
  2. ^ Jing Huang; E Marcheret; K Visweswariah (2005). Rapid Feature Space Speaker Adaptation for Multi-Stream HMM-Based Audio-Visual Speech Recognition. IEEE International Conference on Multimedia and Expo (ICME). IEEE. pp. 338–341. doi:10.1109/ICME.2005.1521429.