ISCA Archive Interspeech 2009
ISCA Archive Interspeech 2009

Log-linear model combination with word-dependent scaling factors

Björn Hoffmeister, Ruoying Liang, Ralf Schlüter, Hermann Ney

Log-linear model combination is the standard approach in LVCSR to combine several knowledge sources, usually an acoustic and a language model. Instead of using a single scaling factor per knowledge source, we make the scaling factor word- and pronunciation-dependent. In this work, we combine three acoustic models, a pronunciation model, and a language model for a Mandarin BN/BC task. The achieved error rate reduction of 2% relative is small but consistent for two test sets. An analysis of the results shows that the major contribution comes from the improved interdependency of language and acoustic model.

doi: 10.21437/Interspeech.2009-87

Cite as: Hoffmeister, B., Liang, R., Schlüter, R., Ney, H. (2009) Log-linear model combination with word-dependent scaling factors. Proc. Interspeech 2009, 248-251, doi: 10.21437/Interspeech.2009-87

  author={Björn Hoffmeister and Ruoying Liang and Ralf Schlüter and Hermann Ney},
  title={{Log-linear model combination with word-dependent scaling factors}},
  booktitle={Proc. Interspeech 2009},