Flego, F and Gales, MJF (2011) Factor analysis based VTS and JUD noise estimation and compensation. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. pp. 4792-4795. ISSN 1520-6149Full text not available from this repository.
Model based compensation schemes are a powerful approach for noise robust speech recognition. Recently there have been a number of investigations into adaptive training, and estimating the noise models used for model adaptation. This paper examines the use of EM-based schemes for both canonical models and noise estimation, including discriminative adaptive training. One issue that arises when estimating the noise model is a mismatch between the noise estimation approximation and final model compensation scheme. This paper proposes FA-style compensation where this mismatch is eliminated, though at the expense of a sensitivity to the initial noise estimates. EM-based discriminative adaptive training is evaluated on in-car and Aurora4 tasks. FA-style compensation is then evaluated in an incremental mode on the in-car task. © 2011 IEEE.
|Uncontrolled Keywords:||adaptive training factor analysis noise robustness Speech recognition|
|Divisions:||Div F > Machine Intelligence|
|Depositing User:||Cron job|
|Date Deposited:||16 Jul 2015 13:51|
|Last Modified:||31 Jul 2015 03:02|