@article{11778,
  abstract     = {{In this paper, it is shown that a correlation criterion is the appropriate criterion for bottom-up clustering to obtain broad phonetic class regression trees for maximum likelihood linear regression (MLLR)-based speaker adaptation. The correlation structure among speech units is estimated on the speaker-independent training data. In adaptation experiments the tree outperformed a regression tree obtained from clustering according to closeness in acoustic space and achieved results comparable with those of a manually designed broad phonetic class tree}},
  author       = {{Haeb-Umbach, Reinhold}},
  journal      = {{IEEE Transactions on Speech and Audio Processing}},
  keywords     = {{acoustic space, adaptation experiments, automatic generation, bottom-up clustering, broad phonetic class regression trees, correlation criterion, correlation methods, maximum likelihood estimation, maximum likelihood linear regression based speaker adaptation, MLLR adaptation, pattern clustering, phonetic regression class trees, speaker-independent training data, speech recognition, speech units, statistical analysis, trees (mathematics)}},
  number       = {{3}},
  pages        = {{299--302}},
  title        = {{{Automatic generation of phonetic regression class trees for MLLR adaptation}}},
  doi          = {{10.1109/89.906003}},
  volume       = {{9}},
  year         = {{2001}},
}