iVector-based discriminative adaptation for automatic speech recognition

  title={iVector-based discriminative adaptation for automatic speech recognition},
  author={Martin Karafi{\'a}t and Luk{\'a}s Burget and Pavel Matejka and Ondrej Glembek and Jan Cernock{\'y}},
  journal={2011 IEEE Workshop on Automatic Speech Recognition & Understanding},
We presented a novel technique for discriminative feature-level adaptation of automatic speech recognition system. The concept of iVectors popular in Speaker Recognition is used to extract information about speaker or acoustic environment from speech segment. iVector is a low-dimensional fixed-length representing such information. To utilized iVectors for… CONTINUE READING

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